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Journal receives papers in continuous flow and we will consider articles from a wide range of Information Technology disciplines encompassing the most basic research to the most innovative technologies. Please submit your papers electronically to our submission system at http://jatit.org/submit_paper.php in an MSWord, Pdf or compatible format so that they may be evaluated for publication in the upcoming issue. This journal uses a blinded review process; please remember to include all your personal identifiable information in the manuscript before submitting it for review, we will edit the necessary information at our side. Submissions to JATIT should be full research / review papers (properly indicated below main title).

Journal of Theoretical and Applied Information Technology
May 2018 | Vol. 96 No.09

Title:	RANDOM LINEAR NETWORK CODING BASED MULTIPATH TRAFFICS OVER HETEROGENEOUS CLOUD RADIO ACCESS NETWORK
Author:	DHAWA SANG DONG, KARISHMA KHATRI, MOHAMMED B. MAJED, ANAND GACHHADAR
Abstract:	Bringing relays near to the user equipments enhances the network capacity and robust to the transmission erasure. So the dense deployment of Remote Radio Heads (RRHs) with higher frequency operation and lower transmission power within the coverage area of Micro Base Stations (MBSs) with higher transmission power compared to RRH consists of Heterogeneous Network. When the most of the computing algorithms are executed at computationally powerful shared nodes, the network is heterogeneous cloud radio access network (H-CRAN). Further area network capacity can be enhanced with multipath transmission with the availability of radio resources and security issues can be addressed with network coded transmission over the unlicensed channel or high frequency channels. Use of better channel for network coded transmission can enhances the network throughput compared to traditional transmission. Further network coding scheme deployed for multi hop network is robust to erasure channel. In this research work further enhancement of network throughput is carried out with random network coding for multi-hop network which enhances the resilience of the transmission over erasure network channel and transmission of network coded packets over different transmission links ensures security over the data transmission.
Keywords:	Random Network Coding, Multipath Transmission, Secure Transmission, H-CRAN, Robustness
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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Title:	AMAP: ADAPTIVE MULTILEVEL AUTHENTICATION PROTOCOL ON CLOUD ENVIRONMENT
Author:	BHARATI AINAPURE, DEVEN SHAH , A. ANANDA RAO
Abstract:	Cloud computing is an emerging technology that allows users to access the computational data through virtual machines on a cloud. Since the technology is based on the sharing of resources, lack of security is a major issue. This paper proposes a new authentication protocol, with an intention to provide secure access to computational data through virtual machines. The proposed protocol works on mutual and multi-level authentication between the user and the server in a cloud environment. This multi-level authentication protocol provides security, considering multiple parameters like OTP, session password, and so on. The protocol includes two phases: Registration and Authentication. At first, the cloud user and the server are registered under Authorization Centre (AC), which authenticates the user and the server using four different messages. The verification of the user is on the basis of hashing function and EC, following a six level authentication process to allocate the virtual machines to access the computational data in the cloud. This protocol provides resistance against Server spoofing attack, stolen verifier attack, Password guessing attack, Impersonation attack and replay attack. Thus, the protocol allows the cloud user to gain a secured access offering robustness with the utilization of Elliptic Curve Cryptography (ECC) and hashing function. The experimental results show that the proposed protocol could provide 75.58% genuine user details, 78.49% attacker details, and 77.03% accuracy, in the comparative analysis made with the approach of Vanga Odelu et al. This comparison shows that it had better performance in providing authentication than the considered existing technique.
Keywords:	Authentication, OTP, Session password, ECC, Hashing, Registration, Protocol, Cloud.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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Title:	USING DRIFT INTENSITY AS A BASIS FOR HANDLING CONCEPT DRIFT IN CLASSIFICATION SYSTEMS
Author:	HISHAM OGBAH, ABDALLAH ALASHQUR
Abstract:	Concept drift is a known problem that can occur in classifier systems. Detecting and handling concept drift is an active area of research. Once a concept drift is detected, it has to be handled by updating or re-generating the classification model. In this paper, a new approach is introduced for handling concept drift, where a drift intensity measure is used to quantify the intensity of a concept drift. The model generation process uses the drift intensity measure while generating a new model. If the drift intensity is high, the model generation process discards old data (data before the drift occurrence) and builds a new model solely based on the new data after drift. On the other hand, if the drift intensity is low or moderate, the model generation process takes into account both old data and new data but it gives more weight (proportional to the drift intensity) to the new data as compared to old data.
Keywords:	Data Mining, Classification, Concept Drift, Drift Handling, Big Data.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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Title:	A HYBRID TEXT - IMAGE SECURITY TECHNIQUE
Author:	SALEH SARAIREH, JAAFER AL-SARAIREH, YAZEED AL-SBOU, MOHAMMAD SARAIREH
Abstract:	The transmission of a secret message or secret image over public networks may be affected by several types of security attacks. This problem triggered the researcher to implement secure algorithms that provide the security services, and at the same time to protect the transmitted data through the communication channel. There are many applications that involve the transmission of secret text messages and secret image, such as, medical images with radiologist reports, exam, questions that involve text and images and government applications that require images and text. This paper comes to address the security of such applications, so a security technique is proposed. It involves the embedding of secret text message over a secret image using wavelet and genetic algorithm based steganography, and then the generated stego image is encrypted using a filter bank cryptographic algorithm, also hashing algorithm is used to ensure data integrity. Security performance metrics are used to assess the proposed technique; this involves normalized correlation, PSNR, histogram analysis, and entropy. Based on the proposed algorithm, the obtained results showed that a high level of security has been achieved.
Keywords:	Image Encryption, Hashing, Steganography, Entropy, Correlation
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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Title:	EDGE DETECTION WITH LAPLACIAN FOR RADIOGRAPHIC IMAGING AND IMPLEMENTATION ON FPGA
Author:	ISSAM BOUGANSSA, MOHAMED SBIHI, MOUNIA ZAIM
Abstract:	The demonstration of the points representing the contours of objects in a Radiographic image can serve as a diagnostic tool, to differentiate areas of the image and to extract reduced information often relevant to characterize the image. This contour materializes by a rupture of intensity in the image in a given direction; several methods exist to detect this rupture. The objective of this work is to execute in real time the algorithms corresponding to the approaches of detection of the contours on Radiographic images based on the Laplacian method, using hardware and software tools. Real-time data processing requires high processor power, the possibility of reprogramming as well as a good management of memories. This is provided by the FPGA circuits.
Keywords:	Edge Detection, Real Time, FPGA, VHDL, Laplacian Algorithm.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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Title:	CLOUD COMPUTING AND MULTI-AGENT SYSTEM: MONITORING AND SERVICES
Author:	TARIQ FALAH ALWADAN
Abstract:	In cloud computing, client can use and retrieve the services anytime by using any smart devices to manage complex computing processes and to access very large data storage. The developers have recognized the required of an automated system that can help in utilizing the cloud power, enhancing its functionality and improve its performance. Multi-Agents System (MAS) technique presents a perfect way for scalable and open systems that are changed dynamically. MASs are usually used to resolve challenges via a decentralized method where a group of agents cooperate to solve a problem. In this paper a new architecture is introduced which consists of a Multi Agent System that being employed by a cloud computing to assist in determining the best resources and to create negotiation method among cloud providers and users to utilize the full capability of cloud computing. Also this architecture is designed so that it can monitor the users jobs while they are being processed.
Keywords:	Cloud Computing, Multi-Agents System; public cloud; private; hybrid cloud.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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Title:	AN ALGORITHM FOR GENERATING PERMUTATIONS IN SYMMETRIC GROUPS USING SOFT SPACES WITH GENERAL STUDY AND BASIC PROPERTIES OF PERMUTATION SPACES
Author:	SHUKER MAHMOOD KHALIL, FATIMA HAMEED KHADEER
Abstract:	In this paper we introduced algorithm to find permutation in symmetric group using soft topological space to structure permutation topological space. Moreover, this class of permutation topology is called even (odd) permutation topology if its permutation is even (odd). Further, new notions in permutation topological spaces are investigated like splittable permutation spaces and ambivalent permutation spaces.
Keywords:	Soft Set Theory, Symmetric Groups, Splitting, Ambivalent, Permutation Topological Spaces
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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Title:	POSSIBLE LENSING SCHEMES FOR FIBER-OPTIC COUPLING IMPROVEMENT
Author:	Zaid Ahmed Aljawary, Mohammed Ameer Alrwas, Mohammed Khazal Rashad
Abstract:	Integrated coupling between the laser source (such as laser diodes, LDs) and single-mode fibers (SMFs) are one of the most important and fundamental techniques of optical communications. Integrating lenses in source-fiber and fiber-detector receivers was found a great efficiency enhancement way. Meanwhile, on the other hand Lensed fibers have desirable features of the coupling scheme over ordinary Micro-Lenses, such as compactness, simplicity, stability, and freedom from bulky sizes. Three ways of lens coupling schemes are mentioned. Using a micro - lens, then other ways using lensed fiber-ends to achieve efficient coupling of an optical fiber with a light source from a side and detector on the other side. These scheme findings could guide the evolution of a mass-produced at a low price in comparison to the other complex technical ways thatll achieve not more than 5% higher coupling efficiency.
Keywords:	SMF, efficiency, coupling schemes, Micro-Lenses
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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Title:	REVIEW ON DIFFERENTIAL SUBORDINATION
Author:	MOHAMMED KHALID SHAHOODH
Abstract:	The complex analysis is one of the beautiful and important subject in the mathematics because of its applications which are not only in several aspects of the analysis, but even in several areas of the mathematics and science in general. Recently, much interesting has been given to investigate the differential inequalities which are containing the functions with their derivatives, and that field has been developed in the last sixty years. In the theory of the complex functions, the characterization of the given analytic function can be determined by using the differential inequality, and also by the differential inequality, most of the geometric properties can be described in the theory of geometric functions. In addition, one of the important branch in the field of the complex analysis is the geometric function theory because this theory deals with the geometric properties of analytic functions. Now days, in the geometric function theory, many applications have been existed for the theory of differential subordinations which its origins going back to Miller and Mocanu [38]. Then, the extensions of that theory can be found in different fields, such like the harmonic functions theory, the partial differential equations, the integral operators theory and the meromorphic functions theory. Due to that, the present paper had done in order to provide a literature study which focused on the theory of differential subordination and its applications in the study of analytic and univalent functions. Furthermore, the properties of the first, the second and the third order differential subordination are studied. This investigation concern on the most important results that have been introduced in the theory of differential subordination by the previous studies. Then, the contribution of this review is to provide an overview on the developments in the theory of differential subordination since the appearance of that concept right up to the recent years. The review of the previous studies may open research issues in the future works, and will allow the future researchers to have a useful background on the essential aspects of this research field.
Keywords:	Analytic function, Admissible function, Best subordinant, Differential subordination, Differential superordination, Meromorphic function, Univalent function, Linear Operator, Multivalent Functions, Multiplier Transformation, Generalized Bessel Functions.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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Title:	A MULTI-CLASS SPATIAL CLASSIFIER FOR IMPROVING MOVING OBJECTS DETECTION AND TRACKING
Author:	MATHESWARI RAJAMANICKAM, DR . AISHWARYA PALANIAPPAN
Abstract:	Object detection and tracking aims at detecting and tracking several objects over a sequence of images (i.e. video). The research works focuses on image segmentation and classification for moving object detection and tracking. Batch incremental classifier is used for classifying four classes of moving objects. Object fusion technique developed to solve the detection and tracking of moving objects failed to generate the visual descriptors of the image. In order to obtain efficient and robust moving object detection and tracking with minimum time, a Multi-Class Spatial Classifier (MCSC) method is introduced. Initially, the Markov Random Field (MRF) principle is applied in MCSC method for both fixed and moving objects in a sequence of images to provide label field fusion that exhibits the shape of the objects in the scene. Next, the fuzzy edge strength of each pixel location is identified with MRF modeling, which preserves the object boundary to classify the images of the segmented objects. Finally, the spatial classification is performed through the maximum a posteriori probability (MAP) estimation principle. This helps to improve the classification accuracy with minimum time. The performance of the proposed MCSC method achieves higher object detection and tracking accuracy in terms of classification accuracy, false positive rate and classification time.
Keywords:	Moving Object Detection and Tracking, Multi-Class Spatial Classifier, Object Classification, Markov Random field, Fuzzy Edge Strength, MAP Estimation.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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Title:	SHORT-TERM FORECASTING OF WEATHER CONDITIONS IN PALESTINE USING ARTIFICIAL NEURAL NETWORKS
Author:	IHAB HAMDAN, MOHAMMED AWAD, WALID SABBAH
Abstract:	Weather conditions such as quantity of the rain, daily wet or dry temperature, and humidity are important factors affecting the economy in any country. Weather forecasting departments in Palestine use linear statistical methods for forecasting daily, monthly, and yearly weather parameters. This research introduced a non-linear model to forecast daily, monthly, and yearly weather conditions which provided a much more efficient method for weather forecasting compared to the traditional linear statistical methods. This proposed non-linear forecasting model can help predict more accurate results so that meteorology and weather departments can organize their data and put the right plans to maintain the correct progress in their works. The proposed model has the ability to analyze previous weather condition patterns and use them to forecast future weather conditions. The collected weather datasets which consist of daily mean values for the three previous years in Palestine were used as targets for Multilayer Perceptron Feed-Forward Backpropagation Neural Networks (MLPFFNNBP) to forecast the future weather conditions. The dataset of rain quantity in this work consists of preprocessed mean values for ten years. The proposed model is constructed using the corresponding dataset and learning neural network to forecast weather conditions in the north region of the West Bank, Palestine which contributes to the improvement of agricultural plans. Running the proposed model using the previously mentioned data produced significant and accurate forecasted results with an acceptable minimum Mean Square Error (MSE).
Keywords:	Artificial Neural Networks, Weather Conditions, Forecasting, Backpropagation Algorithm
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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Title:	ON THE USAGE OF ARYABHATTA REMAINDER THEOREM FOR IMPROVED PERFORMANCE OF RPRIME RSA
Author:	CH JL PADMAJA, BEHARA SRINIVAS, V.S.BHAGAVAN
Abstract:	In the recent era, RSA is one of the widely known and largely used public key cryptosystems in the world. To improve the performance and speed of RSA cryptosystems, many variants to original RSA have been suggested in the literature. But there is no published literature on the evaluation of these faster variants based on the security aspects such as attacks and mitigation strategies. Through this article we intended to perform a classification of faster RSA variants, cryptanalytic attacks of RSA, mapping of different attacks to mitigation strategies and a complete evaluation of Faster RSA variants based on the severity of security threats. To assess the severity of threats, a Threat Severity Evaluation classification of these variants has been made. Also, we extended our study to look upon how the performance of RSA variants changes with a change in the decryption algorithms and build a suitability analysis to check the applicability of Aryabhatta Remainder Theorem(ART) in place of Chinese Remainder Theorem(CRT). RPrime RSA is the fastest known variant of modified RSA cryptosystems with no known security attacks or threats. RPrime uses Chinese Remainder Theorem for solving congruence equations in the decryption stage, which requires more modulo inverse operations. The decryption speed can be improved by reducing the number of modulo inverse operations required to solve the congruence. Aryabhatta Remainder Theorem takes only one modulo inverse operation to solve two congruence relations. When compared with Chinese Remainder Theorem, ART requires lesser modulo inverses. In this article, we have replaced RPrimes CRT with Aryabhatta Remainder Theorem. Performance of our new model is tested with larger modulo such as 2048 and 4096.
Keywords:	Aryabhatta Remainder Theorem, Attacks, Chinese Remainder Theorem, RSA Variants, Threat severity.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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Title:	THE DETERMINANT FACTORS OF KMS USAGE TOWARDS ORGANIZATIONAL PERFORMANCE IN OIL AND GAS INDUSTRY
Author:	AKBAR BADPA, JUHANA SALIM, JAMAIAH YAHAYA, SEDIGHEH SHAKIB KOTAMJANI
Abstract:	Knowledge management (KM) brings about organizational performance and competitive advantages. To make KM practice successful in organizations, KM initiatives or Knowledge Management System (KMS) is required. KMS is the technology that supports KM in creating, sharing, transferring and disseminating knowledge. Likewise, KMS usage brings about organizational performance and competitive advantages in organizations in different sectors such as oil and gas industry. However, systematic review of literature shows that although oil and gas industry has been investing immensely in KMS development, KMS usage has remained sluggish or even failed. Further, there is a paucity of study on determinants of KMS usage in oil and gas industry. Therefore, the current paper developed a conceptual model based on the main information system theories, namely: theory of planned behavior (TPB), technology acceptance model (TAM), and task-technology fit (TTF). Based on KM literature The combination of TAM, TTF and TPB provide a strong predictive power concerning participants‟ use of KMS.. The paper integrates the core constructs of the above theories and the factors extracted from the literature stream on KMS. As a result, the paper develops a conceptual model composed of four main dimensions: human, technology, organization and knowledge. The endogenous variable is KMS usage and the dependent variable is organizational performance. Thus, this study provides synopsis of effective factors of KMS usage towards organizational performance that helps system developers and managers at petroleum industry to consider the importance of KMS usage. Thus, the study has theoretical and practical implications.
Keywords:	Knowledge Management, Information Technology, Information Science, Knowledge Management System Usage, Organizational Performance
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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Title:	AN IMPROVED EVOLUTIONARY HYBRID PARTICLE SWARM OPTIMIZATION ALGORITHM TO MINIMIZE MAKESPAN FOR NO WAIT FLOW SHOP SCHEDULING
Author:	LAXMI A. BEWOOR , V.CHANDRAPRAKASH , SAGAR U.SAPKAL
Abstract:	A flow shop with no-wait schedules jobs continuously through all machines without any wait at consecutive machines. This scheduling problem is combinatorial optimization problem and observed as NP-hard as appropriate sequence of jobs for scheduling from all possible combination of sequences is to be determined for reducing total completion time (makespan). This paper presents an effective hybrid Particle Swarm Optimization algorithm for solving no wait flow shop scheduling problem with the objective of minimization of makespan. This Proposed Hybrid Particle Swarm Optimization Makespan (PHPSOM) algorithm represents discrete job permutation by converting the continuous position information values of particles with random key representation rule. The proposed algorithm balances global exploration and local exploitation with evolutionary search guided by the mechanism of PSO, and local search by the mechanism of Simulated Annealing (SA) along with efficient population initialization with Nawaz-Enscore-Ham (NEH) heuristic. The effectiveness of the proposed method is validated by extensive computational experiments based on Taillards benchmark suite. Computational results and comparisons with best known solutions for makespan confirm that the proposed algorithms performance is better than the existing methods in terms of searching quality and robustness. Statistical tests of significance validate the improvement in the solution quality.
Keywords:	No-wait flow shop, Scheduling, Particle Swarm Optimization, Simulated Annealing, Makespan
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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Title:	A SMOOTH TEXTUAL PASSWORD AUTHENTICATION SCHEME AGAINST SHOULDER SURFING ATTACK
Author:	MOHAMMED A. FADHIL AL-HUSAINY , DIAA MOHAMMED ULIYAN
Abstract:	Authentication is a common approach to protect user information in the online information systems such as ATMs. One of the easiest ways for user authentication uses Personal Identification Number (PIN). PINs are vulnerable to malicious attacks. The tendency of users to select easy passwords or short password makes the passwords vulnerable to many attacks like camera recording attack and adversary shoulder attacks. In this paper, the proposed textual password authentication scheme is introduced as an alternative to graphical password schemes. In this technique, no need to use the traditional keyboard or even pressing the keys that represent the password characters. This technique gives the user a more secure session to enter the password and solves most of the defects exist in the authentication systems that depend on the use of the textual or graphical passwords.
Keywords:	Shoulder surfing attack, textual password authentication, information security, Matrix Transpose
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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Title:	SEMANTIC-BASED E-GOVERNMENT FRAMEWORK BASED ON DOMAIN ONTOLOGIES: A CASE OF KUWAIT REGION
Author:	NASER ALAZEMI , Abdullah J. Al-Shehab , Hawaf Abd Alhakem
Abstract:	Accessibility of information in the web is the main feature in knowledge acquisition. Ontology is an explicit specification of conceptualization. It defines the terms with specified relationships between them, and can interpret by both humans and computers. Currently, E-Government is facing several problems relating for integration of the information systems, extraction, and representation across heterogeneous organizations. In Addition, e-government is the civil and political conduct of the government, which involves using information and communication technologies (ICT). Therefore, e-government services need to provide information where format and methods of delivery adapt according to the users and situations. In recent years, semantic Web technologies based on ontology have brought about promising solutions to the above engineering problems. In this paper, we propose a semantic-based framework for e-government. In addition, the platform Protege for semantic ontology development is introduce. We proposed ontological model for the Education ministry domain and Medicine ministry domain. The Web Ontology Language (OWL) represents this ontology, which is the standard language for the semantic web. Moreover, it was testing in proposed semantic framework. The ontology will be useful in the knowledge of the e-government semantic integration, and semantic Web applications.
Keywords:	E-government; Semantic Web; Domain ontology; Services; Framework; owl; Integration; Citizens;
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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Title:	A NOVEL TEST CASE PRIORITIZATION USING MENDEL OPERATOR BASED GENETIC ALGORITHM
Author:	ANJU BALA, RAJENDER SINGH CHHILLAR
Abstract:	This paper aims at prioritization of test cases such that the testing effort reduces significantly while the code coverage remains almost the same. This is achieved by a novel Mendelian Operator based Genetic Algorithm by following two principles i.e. segregation and independent assortment of alleles. The doctrinal sense of simple GA is conceptually improved by inducing Mendel operator in the reproduction cycle. Besides the traditional genetic operators of selection, crossover and mutation, Mendels principles are included, in the form of an operator in the genetic algorithms evolution process. The proposed approach is different than the simple or conventional GA in terms of Mendels dominance, recessiveness, genotype, phenotype and the Punnett square. The results obtained have comparable coverages and are better than those of the conventional GA in terms of size of test suit. In this paper, a telemedicine project is taken for experimentation, developed for remote doctor allocation for facilitating the on line assistance to the patients.
Keywords:	Mendelian Operator; Genetic Algorithm; Regression Testing; Test case Prioritization
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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Title:	DESIGN AND IMPLEMENTATION OF SECURITY SOLUTION FOR M-GOVERNMENT ON MOBILE PLATFORMS USING HYBRID OF NTRU-PKI AND AES-RIJNDAEL
Author:	MALIK ANAS TAWFEEQ, MOHAMAD T. SULTAN
Abstract:	In recent years and specifically in the era of rapid technology development, many changes have taken place in the field of communication technologies (ICT), where mobile devices have replaced computers in multiple significant tasks. This has influenced the interactions between citizens and government agencies in what is called the m-Government, which is an extension of the e-Government that provides services to citizens in general or subscribers in particular. As these services range from public to private bodies and data transmitted sometimes require authentication and confidentiality, the need to secure them has been found to be inevitable. The problem faced here is regarding security of transmitted data as cryptography algorithms whether symmetric or asymmetric; suffer from issues of key exchange mechanism or security performance. In this research, the authors proposes a system technique to secure the transmission of the m-Government using hybrid security algorithms of AES-Rijndael and NTRU, with concentration on confidentiality and authentication as core services in m-Government current transactions, in order to enhance the security of transmission medium and achieve better security of m-Government services. The findings of this dissertation have shown proof of the powerful presence of security factors concerning confidentiality and authentication in the field of m-Government, and test performance approves that the proposed technique is applicable on smartphone devices.
Keywords:	AES; NTRU; M-Government; Confidentiality; Authentication
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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Title:	ORTHOGONAL WAVELET FUNCTION FOR COMPRESSION SATELLITE IMAGERY OF PEAT FOREST FIRES
Author:	NOVERA KRISTIANTI, ALBERTUS JOKO SANTOSO, PRANOWO
Abstract:	Background: In the process of digital image data representation, constrained the number of data volumes are required. One of the main sources of information in data processing of imagery is satellite imagery. Some applications of remote sensing technology requires a good quality image but in small size. Purpose: This study focuses on image compression is done to reduce the size of the image needs. However, the information contained in the image retained its existence. Method: In this study, using 17 orthogonal wavelet function used to reduce data satellite images of peat forest fires. Then, 17 of these orthogonal wavelet functions are compared with the parameter measurement i.e. PSNR (Peak Signal to Noise Ratio) and compression ratio. The benchmark of image compression is seen from the largest PSNR and large compression ratio Finding: Based on orthogonal wavelet function testing, then the Haar (daubechies 1) wavelet function results obtained has the highest PSNR for all level of decomposition on all test image i.e 50.783 dB for test image 1, 50.954 dB for image 2 and 49.855 dB for image 3. For the highest compression ratio on all test image is a function of wavelet symlet 8 i.e 97.00% for image 1, 97.05% for image 2 and 96.90% for image 3. Originality value: Satellite imagery that has been reduced would contribute to facilitating the processing of data as well as data input for the creation of digital image processing for system detection peat forest fires hotspots.
Keywords:	Image Compression, Satellite Imagery, Peat Forest, Orthogonal Wavelet function, Information System
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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Title:	IPFJRO: THE DEVELOPMENT OF IMAGE PROCESSING ONTOLOGY
Author:	OOI JESSIE, MANSOOR ABDULLATEEF ABDULGABBER, SIAU CHIUN LIEW
Abstract:	IPFJRO is an image processing-based ontology develop specifically for an ontology-based keywords search system. Ontology ease the human computer communication by presenting the concept or information in a way that can be understand by both machine and human without any misunderstanding. At the same time, it allows the information reuse across different applications. However, despite its advantages, development of an ontology is still a lengthy and complicated process. Hence, not every domain has its own complete ontology developed and ready to use. In this study, we had developed a domain ontology. We had select Image Processing as the domain of our ontology. This ontology was based on the terminologies from research articles and image processing text book. The development of this ontology followed the guidelines in Ontology Development 101. We used Protege as the development tool. This study focused on the methodology, design and development of the ontology. Theres a total of 63 classes and 831 individuals in IPFJRO.
Keywords:	Ontology, Ontology development, Knowledge Representation, Image Processing, Query
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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Title:	REDUCED TIME COMPLEXITY VARIANT OF DIGITAL SIGNATURE ALGORITHM
Author:	HAMZA A. A. AL-SEWADI, MOHAMMED M. RIFAAT
Abstract:	Signing and verification time of messages is an essential issue. The standard Digital signature algorithm (DSA) approved by the national institute of standard and technology (NIST) has been widely used for message authentication. Besides, many variants of DSA has been suggested in order to improve the performance, such as Yen-Laih, GOST, McCurley, and other algorithms. This paper present a modified version of the standard NISI-DSA. It incorporates the same parameters used in NISI-DSA, but it is characterized by less computational complexity and improved signature verification time which is crucial for some sensitive applications. This variant achieved an increase in the verification speed of about 100% over most DSA variants, hence reducing the signature validation time considerably, however, no improvement was noticed in the signing speed. This signature validation speed gain was achieved with the same level of security as the parameters of standard DSA were used. The algorithm is first tested with prime numbers of 20, 40, 80, and 100 bits lengths, then it is experimented with using prime numbers provided by NIST with length of 1024 bits and 128 bits for p and q, respectively. The speed of verification results shows more than two times faster than NIST-DSA.
Keywords:	Digital Signature Algorithms, Time Complexity, Cryptography, Discrete Algorithms, Message Authentication, Data Integrity.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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Title:	THE INFLUENCE OF BUSINESS PROCESS AND RISK MANAGEMENT ON THE QUALITY OF ACCOUNTING INFORMATION SYSTEM
Author:	AZHAR SUSANTO, MEIRYANI
Abstract:	Business process and risk management are factors which can effect the quality of accounting information systems. In Indonesia, phenomenon happens in many organizations showing that most of them implement unintegrated accounting information systems. Because of integration is the main characteristic of the quality of accounting information systems so this characteristic became our interest to do some research. This research was carried out in order to find out some facts through examination of the influence of business process and risk management towards accounting information system quality. Data used in this research were gained through survey by distributing questionnaires to company in indonesia. The data were then managed statistically by applying SEM PLS. Research method used was explanatory research. The result of this study shows that the problem source of poor quality of accounting information system occurs due to the business process and risk management is not entirely as good as expected, this condition effect to the integration which at the end influence the quality of accounting information system and accounting information produced.
Keywords:	Business Process, Risk Management, Quality Accounting Information System, Accounting Information system.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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Title:	COST FUNCTION BASED ON ANALYTIC HIERARCHY PROCESS FOR DATA REPLICATION STRATEGY IN CLOUD ENVIRONMENT
Author:	MOHAMED REDHA DJEBBARA, HAFIDA BELBACHIR
Abstract:	Data stored on a cloud is becoming more and more important. Thus, data replication across multiple cloud nodes is considered an effective solution to achieve good performance in terms of response time, load balancing and most importantly, high data availability and reliability. To maximize the benefit of data replication, strategic placement of replicas in the system is critical. Several replica placement works have been proposed in the literature; the most of these works are based on five parameters (criteria): mean service time, failure probability, load variance, latency and storage usage. Weights of these criteria have always been proposed by the user to calculate a cost function. In order to improve this cost function, we propose in this paper an original approach based on a multi-criteria optimization model. According to the context of the five criteria mentioned above, we have chosen the AHP (Analytic Hierarchy Process) multi-criteria optimization method which makes it easier to use it to determine the coefficient of each criterion. This modeling of the cost function makes it possible to improve the selection of the candidate sites for replica placement, which have a good impact on the simulation results, and improve performances.
Keywords:	Cloud, replica placement, cost function, AHP method
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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Title:	AN EFFICIENT SECURE SCHEME FOR DATA AGGREGATION IN WIRELESS SENSOR NETWORKS USING THE ADDITIVE PROPERTY OF COMPLEX NUMBERS
Author:	SAMIHA M. ELSHERIF , MOHAMED ELSHRKAWEY, M. ELSAYED WAHED
Abstract:	Data aggregation is an essential technique that has been widely used in Wireless Sensor Networks (WSNs) to reduce the energy consumption of sensor nodes. It can preserve the significant amount of energy by aggregates data from sensor nodes which reducing the number of data packets. However, data aggregation applications need integrity protection and privacy preserving of the data while transmitting it from sensing nodes to the base station. The existing schemes such as IPDA, ICPDA, and PEPPDA suffer from high communication, computation cost and data delay even it support both privacy and integrity. Therefore, this paper proposes an efficient, secure data aggregation scheme for wireless sensor networks. The proposed scheme eliminates redundant sensor data without using decryption and maintains data privacy during transmission. We use the additive property of complex numbers to support privacy and integrity checking. The complex number has two parts; the real part will be used to hide sensitive data and the imaginary part will be used to check the integrity of the aggregated data. The proposed scheme is compared with IPDA, ICPDA, and PEPPDA in terms of communication overhead, accuracy, and energy consumption. Simulation results show that the proposed scheme achieves better performance than other schemes by reducing the communication overhead and checking the integrity of aggregated data without the delay of aggregated data. It also increases the network lifetime by eliminating the redundant data transmitted from each sensor node.
Keywords:	Data aggregation, Wireless Sensor Networks, Privacy, Complex Numbers, Integrity.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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Title:	COMPREHENSIVE FEATURE SELECTION BASED SUPPORT VECTOR MACHINE CLASSIFIER (CFS-SVM) FOR CLINICAL DATASET
Author:	S. KAVIPRIYA , DR.T. DEEPA
Abstract:	Feature selection plays a significant role in any data mining research problem. In this research work, comprehensive feature selection is applied for selecting the attributes in the chosen PIMA Indian diabetes dataset. The comprehensive feature selection mechanism makes use of maximum significance pattern for selecting the most edifying features, which effectively distinguish between different classes of samples. By making use of the comprehensive feature selection mechanism, the degree of relevance between the feature variables and target variable is quantified, and the informativeness of features is determined according to the degree of the relevance score. In order to implement this mechanism, novel evidence metric, NEM, is employed to score the relevance degree of a candidate feature variable with respect to the target variable. Once after the feature selection is carried out, SVM classifier is applied for performing the prediction of heart disease among gestational diabetes patients in the dataset. Performance metrics such as sensitivity, specificity, true positive rate, false positive rate, precision, accuracy and time taken for feature selection are taken into account. The results are demonstrated with better performance.
Keywords:	Feature Selection, Data Mining, Gestational Diabetes, Accuracy, Time Taken, Feature Selection, Risk Prediction
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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Title:	AN UNDERSTANDING AND APPROACH SOLUTION FOR COLD START PROBLEM ASSOCIATED WITH RECOMMENDER SYSTEM: A LITERATURE REVIEW
Author:	HANAFI, NANNA SURYANA, ABD SAMAD BIN HASAN BASARI
Abstract:	In the ecommerce services, there is a very important tool that will determine the success to increase number of buying and selling in the marketing target, that is how the user in finding products that are suitable to be purchased. This tool is called recommender system. Recommender system is important tool for establishing an effective communication between users and retailers in ecommerce business. Effective and enjoyable communication to find the product is considered to have a significant impact that increase of marketing achievement. Recommender system established in the mid-90s. Based on technical approach, there are four types of recommender system namely Collaborative, Contents Based, Knowledge Based and Demographic filtering. Collaborative filtering is considered to be more superior than another two methods. It offers obviously advantages in terms of serendipity, novelty and accuracy. Although it has some benefit. However, there is a critical problem in collaborative filtering that called cold start. It is a major problem to which many researchers have paid much more attention to this particular research interest. In response to this particular problem the critical review and analysis on state of the art of the current technology, some possible solutions including approach, method and techniques used have been identified but they need further validation.
Keywords:	Recommender System, Recommendation System, Sparsity Data, Cold Start, Ecommerce Services.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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Title:	FINGER VEIN IDENTIFICATION BASED ON CORNER DETECTION
Author:	AHMAD S. BADER ALI MAKKI SAGHEER
Abstract:	Finger vein is a physiological biometric technology used in the identification systems for personal authentication based on the physical features of the vein patterns in the finger. In this paper, computer vision algorithms (FAST and Harris) were used to extract features (corner points) from the finger vein image, while the matching of patterns was based on the differences between corners represented in the form of points using the Manhattan distance. The False Matching Rate (FMR) and False Non-Matching Rate (FNMR) were minimized to obtain the optimum threshold value. This threshold were used to make the final decision. The proposed system proved that use of two algorithms together reduces the error rate and aids to produce a reliable system of finger vein identification.
Keywords:	Finger Vein Identification, Biometric, FAST, Harris.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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Title:	MINIBUS BASED URBAN TRANSPORT PERFORMANCE EVALUATION BY USING DISCRETE EVENT SIMULATION
Author:	PURBA DARU KUSUMA
Abstract:	Nowadays, in many cities in Indonesia, minibus based urban transport faces very serious threat because of its occupation declination. This condition is affected by many factors, such as: the massive usage of private vehicle, the rise of online taxi, vehicle bad condition, and bad driver behavior. This condition triggers the question: is minibus based urban transport still needed? The other question is how to make the minibus based urban transport still survive because lot of workforces and families that their lives is depended on this business. Based on this problem, this research is done to evaluate the performance of the minibus based urban transport. This research is done by using discrete event simulation. In this simulation, the passenger acts as client and the vehicle acts as server. Parameters those are evaluated are the occupation, revenue, and the potential lost. Based on the simulation, the passenger inter-arrival time gives significant impact to the occupation and revenue. The passenger travel distance gives impact only if variable fee method is implemented. The recommended fee so that the vehicle can operate economically is 7,500 rupiah for fixed fee method or 1,000 rupiah per kilometer for variable fee method.
Keywords:	Discrete Event Simulation, Urban Transport, Stochastic, Revenue, Occupation.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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Title:	MULTIPOINT RELAYS SELECTION THROUGH STABILITY OF ESTIMATED SPATIAL RELATION IN MOBILE AD HOC NETWORKS
Author:	AYOUB ABDELLAOUI, JAMAL ELMHAMDI, HALIM BERRADI
Abstract:	In Mobile Ad hoc Networks (MANETs), the mobility concept is an essential element of network performances. MANETs has a scalability constraint in terms of reachability and stability. Optimized Link State Routing (OLSR) protocol is a proactive routing protocol for wireless mobile ad hoc networks and the key idea behind it is to improve Multi-Point Relays (MPRs) selection algorithm. This paper proposed a new mechanism based on, a spatial mobility which speed, acceleration and direction Prediction-based Localization are included; named, Stability of Estimated Spatial Relation MPR. Furthermore, this mobility value will be exchanged between nodes using HELLO message and it will be used as a condition when a node selects its MPRs set. In addition, simulation results by Network Simulator 3 (NS3) have revealed that the improved algorithm could improve network performances in terms of throughput, delay and lost packets. Similarly, the proposed algorithm can be used as a functional mobility mechanism to improve MANETs.
Keywords:	MANETs, OLSR, MPRs, Estimated Spatial Relation, Stability, NS3 Simulator
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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Title:	CONTEMPORARY AFFIRMATION OF SECURITY AND INTRUSION HANDLING STRATEGIES OF INTERNET OF THINGS IN RECENT LITERATURE
Author:	KALATHIRIPI RAMBABU, Dr. N. VENKATRAM
Abstract:	(IoT) Internet of Things has attracted wide interest within workplaces and outside world in the past few years. With growing need for increased connectivity between computing devices, more number of researchers are focusing on increasing security and efficiency of the technology. In particular, a large volume of contemporary literature is devoted to security and intrusion handling. IoT involves connecting resource-constrained devices to highly intrusion prone and unreliable internet connection via IPV6 network and 6LoWPAN networks. Though proposals have been made to secure the network through encrypting data and authentication, exposure to wire-less attacks from within the 6LoWPAN networks remain. Given the high probability of such attacks to succeed, deploying efficient intrusion detection systems has become unavoidable. The present state of IoT security evincing that there are no dedicated intrusion detection systems that meet the requirements of the IPv6-connected IoT, which is since the present strategies of intrusion detection in IoT formulated by customizing the existing models related to Wireless Sensor Networks (WSN) and conventional Internet. This manuscript reviews the contemporary designs, implementations, and evaluations of novel intrusion detection systems for the IoT depicted in recent literature. This review primarily explored the taxonomy of the IoT architecture, requirements, possible attacks and security breaches. In addition, depicts the contemporary review of recent literature relates to security and intrusion detection in IoT. Our review portrayed that the existing contemporary models are having significant limits to detect malicious nodes related to critical aspects such as sinkhole and selective forwarding attacks. In addition, the review evincing that there is a significant need of research to depict intrusion detection systems related to IoT.
Keywords:	Internet Of Things (Iot), Intrusion Detection, Security Protocols, Sensors, Iot Nodes, Iot Layers, Security Issues, Security Challenges
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2018 -- Vol. 96. No. 9 -- 2018
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