		FeedBack \| Contact Us \| Links \| Site Map

Welcome to Journal of Theoretical and Applied Information Technology

Submit Paper / Call for Papers

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
September 2018 | Vol. 96 No.17

Title:	A FUZZY-BASED BUFFER SPLIT ALGORITHM FOR BUFFER ATTACK DETECTION IN INTERNET OF THINGS
Author:	MUSHTAQ MOHAMMED ABDULNABI, ROSILAH HASSAN, NOR EFFENDY OTHMAN, AZIZAH YAACOB
Abstract:	Internet of Things (IoT) process technology is a rapidly emerging technology with great benefits for the pool of individuals, homes, companies and other institutions in general. This technology is used to connect everyday devices to the network to enable additional features such as remote control and access to data, But the network is exposed to several attacks, the most important attacks that cause the problem of overload is event-based attack, Smart stretched attack on the buffer one of the most important attacks on the network, in this research we propose a new algorithm called a Fuzzy Buffer Split (FBS) to defend against these two types of buffer attacks.
Keywords:	IoT, Buffer Reservation Attacks, Overflow, Fuzzy System, Algorithm
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2018 -- Vol. 96. No. 17 -- 2018
Full Text

Title:	AN OPTIMIZED ATTACK TREE MODEL FOR SECURITY TEST CASE PLANNING AND GENERATION
Author:	HABEEB OMOTUNDE , ROSZIATI IBRAHIM1 MARYAM AHMED
Abstract:	Securing software assets via efficient test case management is an important task in order to realize business goals. Given the huge risks web applications face due to incessant cyberattacks, a proactive risk strategy such as threat modeling is adopted. It involves the use of attack trees for identifying software vulnerabilities at the earliest phase of software development which is critical to successfully protect these applications. Although, many researches have been dedicated to security testing with attack tree models, test case redundancy using this threat modeling technique has been a major issue faced leading to poor test coverage and expensive security testing exercises. This paper presents an attack tree modeling algorithm for deriving a minimal set of effective attack vectors required to test a web application for SQL injection vulnerabilities. By leveraging on the optimized attack tree algorithm used in this research work, the threat model produces efficient test plans from which adequate test cases are derived to ensure a secured web application is designed, implemented and deployed. The experimental result shows an average optimization rate of 41.67% from which 7 test plans and 13 security test cases were designed to mitigate all SQL injection vulnerabilities in the web application under test. A 100% security risk intervention of the web application was achieved with respect to preventing SQL injection attacks after applying all security recommendations from test case execution report.
Keywords:	Security Testing, SQL injection, Attack trees, Threat Modeling, MOTH.
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2018 -- Vol. 96. No. 17 -- 2018
Full Text

Title:	KNOWLEDGE GRID MODEL IN FACILITATING KNOWLEDGE SHARING AMONG BIG DATA COMMUNITY: SYSTEMATIC LITERATURE REVIEW
Author:	SARA HOSSEINIOUN, RUSLI ABDULLAH, YUSMADI YAH JUSOH, MARZANAH JABAR
Abstract:	This systematic literature review (SLR) aimed to identify issues of knowledge sharing in big data community as a huge amount of data and highlight the knowledge grid’s characteristics which can improve knowledge flow between members of a community. In achieving the objectives, this study follows Kitchenham’s, (2009) method for SLR. In consequence, three research questions have been chosen in the first phase and in following phases all the related article which help to answer the research questions by the keywords that have been collected. Analysis of results revealed the difficulty of knowledge sharing between community members’ interaction and collaboration and there is a gap in researches on big data user’s roles on sharing through the big data community. Moreover, knowledge grid as communication infrastructure can effectively acquire, represents and exchanges massive amount of knowledge however current knowledge grid models focus on knowledge discovery through big data and there is a lack of efficient knowledge grid model for distributing knowledge among community members by considering their influence on knowledge.
Keywords:	Big Data, Big Data Community, Knowledge Management, Knowledge Sharing, Knowledge Grid
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2018 -- Vol. 96. No. 17 -- 2018
Full Text

Title:	USING THE RSA AS AS AN ASYMMETRIC NON-PUBLIC KEY ENCRYPTION ALGORITHM IN THE SHAMIR THREE-PASS PROTOCOL
Author:	DIAN RACHMAWATI, MOHAMMAD ANDRI BUDIMAN
Abstract:	The Shamir three-pass protocol lets two parties to communicate in a secure manner without the need of exchanging any secret keys. As with many other cryptographic protocols, the Shamir three-pass protocol needs an algorithm in order to work in a proper manner. The algorithms used in the three-pass protocol should belong to the class of symmetric algorithms and follows commutative-encryption system. Our study takes an unconventional approach: instead of using a symmetric algorithm, we use RSA, an asymmetric algorithm, in the three-pass protocol. RSA is a public key crypto-system that relies its security on the difficulty of factoring a big integer into two prime numbers. However, in this study, the RSA is not used as a public key algorithm, but rather as an asymmetric non-public key encryption algorithm. This is done by setting both encryption and decryption keys to private. The complete computation of this scheme is done in Python programming language. Our study shows that this scheme works conveniently in the three-pass protocol.
Keywords:	Cryptography, Commutative-Encryption, Asymmetric Non-Public Key, RSA, Shamir Three-Pass Protocol
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2018 -- Vol. 96. No. 17 -- 2018
Full Text

Title:	CLUSTERED HEED SCHEME FOR CONGESTION AVOIDANCE IN COGNITIVE RADIO SENSOR NETWORKS
Author:	JANANI .S, RAMASWAMY .M , SAMUEL MANOHARAN .J
Abstract:	Reliable and high throughput data delivery in cognitive radio sensor networks (CRSN) remain an open challenge owing to the inability of the source to quickly identify and react to challenges in spectrum availability. The paper proposes a novel congestion control scheme called Enhanced congestion detection and avoidance (ECODA) for CRSN to operate in a mobile framework. It articulates a clustered HEED based mechanism in an effort to exploit the available spectrum on the principles of the cognitive radio technology. The ECODA involves a threefold methodology in order that it uses a dual buffer threshold and weighted buffer difference for congestion detection and a bottleneck-node-based source sending rate control and multi-path loading balancing. The attempt owes to evaluate its performance on a NS2 platform and bring out the improvement in indices through the use of the congestion avoidance mechanism. The results project far reaching impacts in the sense it portrays the viability of the procedure and allows it for exploring fresh applications in this domain.
Keywords:	Cognitive radio sensor networks, ECODA, Clustered HEED, Throughput
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2018 -- Vol. 96. No. 17 -- 2018
Full Text

Title:	DESIGN AND SIMULATION OF TRAFFIC CONTROLLER IN COMMUNICATION NETWORKS USING MATLAB
Author:	MAJID S. NAGHMASH AND SAADI ALOBIDI
Abstract:	In this paper, the efficient traffic control in communication networks is investigated and developed. The congestion delay control in the mobile network based fluid flow theory has been used to design the suggested model with efficient managements. The suggested approach is able to adapt manage with physical layer resource and time delay. The proposed controls techniques are established with mathematical consequent structure by use customized sliding controller technique. In this method, a high utilization with minimum delay is provided by adapt the state feedback with sliding mode controllers. The achievements in the requirements of quality of service (QoS) by mean of dynamic regulation and effectiveness of network resources for traditional structures. The limitation in the bandwidth and capacity as a network input restriction has been considered in this work. Results shows minimum delay by 0.9 msec. in the networks delay by this approach which is consider a novel developments compared with existing design.
Keywords:	Traffic control, Communication Network, QoS, MATLAB
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2018 -- Vol. 96. No. 17 -- 2018
Full Text

Title:	SECURITY REQUIREMENTS AND TECHNOLOGIES FOR THE INTERNET OF THINGS (IOT) APPLICATIONS: A SYSTEMATIC LITERATURE REVIEW
Author:	ASMA ASDAYANA IBRAHIM, MASSILA KAMALRUDIN
Abstract:	Security requirement is one of the most important intangible requirements which could be taken as a burden on the smooth functioning of the system or application. Requirements engineers without expertise in security are at risk of overlooking security requirement, which frequently leads to the act of misuse. This study plans to identify the security requirements and technologies being used in IoT applications. We conducted a systematic literature review in order to identify and analyse related literature on elicitation of security requirements for IoT applications. We found that the most used technologies for IoT applications are sensors, mobility networks, RFID systems, WiFi, Bluetooth and Zigbee and the security requirements that are relevant for IoT applications are authentication, confidentiality, integrity, authorization, access control and availability. Finally, the characteristics and properties of the security requirements and technologies were also discussed. It can be concluded that the primary challenge of security requirements is to identify the most appropriate security requirements. Furthermore, requirement engineers should consider challenges posed by security requirements such as to analyse and develop security requirements for IoT applications. In addition, right security requirements for IoT applications should be recognized at the early phase of IoT applications development.
Keywords:	Internet Of Things, Systematic Literature Review, Security Requirements, Internet Of Things, Iot Technologies
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2018 -- Vol. 96. No. 17 -- 2018
Full Text

Title:	EARLY DETECTION FOR BREAST CANCER BY USING FUZZY LOGIC
Author:	SHAKER K. ALI, WAMIDH K. MUTLAG
Abstract:	Breast cancer (BC) is one of the important general health problem in the world . There are two types of Breast Cancer; Benign breast cancer and Malignant breast cancer . benign state is poor growing, rarely distributed to other areas of body and also have well- defined edges. Alternatively, Malignant point out has inclination to expand faster which is life intimidating. So, classification of the two state is essential for proper medical diagnosis of a breasts cancer patient. In this paper we suggest a new algorithm to diagnosis the Benign and Malignant cancer where each one (Benign and Malignant) has two types; Begin has two types of tumor adenosis and phyllodes_tumor ,while Malignant has two types also ductal_carcinoma and papillary_carcinoma. In this paper we proposed algorithm for diagnosis the Breast cancer where our algorithm has two parts where the first part contain from four steps; the first step is pre-processing step, the second step is for image analysis which used wavelet transform to analysis the images and the third step to extract benefit features which used the results from the wavelet transform to obtain most important numbers of features by using standard division and the fourth step is to know wither the image is Benign or Malignant by using Fuzzy logic to know the two types ( Benign or Malignant ). The second part is contain the classified image ( Benign or Malignant from first part) this part is for classify the other types of Benign (tumor adenosis and phyllodes_tumor) and Malignant (ductal_carcinoma and papillary_carcinoma), in this part we analysis the images by using GLCM after calculate watershed for the image to know the types of benign. For the Malignant we calculate the colour moment (HSV) then calculate standard deviation and mean to extract the features of each types of cancer, where these features will be as input for fuzzy logic to give the final decision for two types of Begin (adenosis and phyllodes_tumor) and two types of Malignant (ductal_carcinoma and papillary_carcinoma), the results accuracy from our algorithm are 98 %. By using the data base from http://web.inf.ufpr.br/vr/breast-cancer-database, which contain more than 7000 images.The suggested knowledge-based system can be utilized as a professional medical decision support system to aid doctors in the healthcare practice.
Keywords:	Ductal_Carcinoma , Papillary , Adenosis , Phyllodes , Breast Cancer, Benign , Malignant.
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2018 -- Vol. 96. No. 17 -- 2018
Full Text

Title:	SUGGEST TRUST AS MEDIATION TO ADOPT ELECTRONIC VOTING SYSTEM IN IRAQ
Author:	SAMER B. ALKHAKANI, SAAD M. HASSAN
Abstract:	There are huge benefits that offered by e-government, which can increase the number of users with big platform for transparency, as in this time the use of information technology promises to revolutionize both the provision of government services and the vibrancy of democracy. One of the solutions in many developing and developed countries is electronic voting system (E-voting) which can eliminate the needs for subjective recounts, fast and reliable delivery services, with big possibility to prevent such kind of fraud, or manipulate in results during the delivering process. The aimed of this paper is to find the factors that involved in applying E-voting systems in Iraq. This paper explores the impact of Trust in E-voting as mediation between electronic voting adoption and Security, Privacy, Usability and Reliability as dependent and independent variables are respectively. The samples conduct registered voters of six colleges within six different provinces in Iraq by using survey, the total sample of ‘299’ respondents participate, with the use of linear regression and bootstrapping analysis through SPSS. The results revealed positive and significant direct effects of the independent factors on electronic voting adoption, while trust in electronic voting mediated independent and dependent factors hypothesized. Overall, the paper can reveal facts for Iraqi government about adopt an electronic voting system as a replacement for the paper-based system to perform voting electoral operation efficiently and effectively
Keywords:	Trust in E-Voting, Security, Privacy, Usability, Reliability.
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2018 -- Vol. 96. No. 17 -- 2018
Full Text

Title:	OPTIMIZED HYBRID APPROACH TO SECURE TRANSMITTED MESSAGES USING THE ADVANCED ENCRYPTION STANDARD AND THE WORD SHIFT CODING PROTOCOL
Author:	ABDELRAHMAN ALTIGANI, SHIRAZ NASERELDEN
Abstract:	In [1], a hybrid approach to secure messages using encryption and steganography has been introduced. The methodology of the latter hybrid is to encrypt the secret data using the Advanced Encryption Standard (AES), then hiding the encrypted bits in the spaces of a carrier text using the Word Shift Coding Protocol (WSCP). In WSCP, the hiding process is achieved by increasing or decreasing the font size of the spaces in the carrier text. This hybrid has some limitations. As an extension for [1], these limitations have been resolved. On the other hand, compared to bare encryption, the performance remains considerably sluggish. For instance, we need 8.87 milliseconds to hide 50 characters using this approach, were we only need 0.12 milliseconds to encrypt the same number of characters using the AES with Counter (CTR) mode of operation.
Keywords:	Textual Steganography, Encryption and Steganography Hybrid, AES, Word Shift Coding Protocol
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2018 -- Vol. 96. No. 17 -- 2018
Full Text

Title:	ESTIMATION ALGORITHM OF SULFATE CONCENTRATION AT THE SEA SURFACE BASED ON LANDSAT 8 OLI DATA
Author:	MUHSI, BANGUN MULJO SUKOJO , MUHAMMAD TAUFIK , PUJO AJI
Abstract:	A model to estimate an element on the earth's surface by remote sensing technique is known as estimation algorithm. Many researches have been conducted to develop estimation algorithm particularly on the elements of the sea surface using Landsat imagery data such as sea surface salinity, sea surface temperature, total suspended solids, chlorophyll-a, etc. This study aimed to develop estimation algorithm of sulfate concentration at the sea surface of Madura Strait waters. Knowing the sulfate concentration at the sea surface was very important for concrete planners to construct a mixture of concrete elements that best matches the existing environmental conditions based on SNI 2847-2013 about the class of sulfate exposure. Besides, it was beneficial for salt farmers as it makes them easier to know the process of precipitation of unnecessary elements in the process of producing salts such as magnesium sulfate (MgSO4). The algorithm was constructed using regression models both linear and nonlinear, including multiple regressions, in which RRS NIR (Band 5) of Landsat 8 OLI as predictor variable and sulfate as the response variable. The finding showed that nonlinear power regression model was the best algorithm to estimate the sulfate concentration at the sea surface than other models with error value (NMAE) 9.53% and residue value (RMSE) 320.84. In the model which was developed, the intercept value was 3055.5 and the slope value was 0.049.
Keywords:	Sulfate, Reflectance remote sensing (Rrs), Landsat 8 OLI, Estimation algorithm, Data mining, Madura Strait
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2018 -- Vol. 96. No. 17 -- 2018
Full Text

Title:	FOUR-PHASE PROTOCOL FOR DETECTION, DELETION, PROTECTION AND RECOVERY FROM AUTORUN VIRUS
Author:	KHALID M. HOSNY, AMEER E. GOUDA, EHAB R. MOHAMED
Abstract:	Keeping any computing system stable is a very sentenced job, since virus programs can easily infect any computing system via external devices such as pen drive, floppy disk, Memory sticks, DVDs, CD ROMs, and USB devices. The auto run virus is one of the most dangerous attacks that affect different computing system. In this paper, a detection, deletion, protection and recovery (DDPR) protocol is proposed. This protocol consists of four phases. The first phase of the protocol is working toward detecting the system's infection with the virus. If the virus is detected, the second phase of the protocol is deleting the virus and all of its associated accessories from the system. Then the third phase is a full protection of the computing system from possible future infection by this virus. Finally, the fourth phase of the protocol is the process of recovering the destroyed or tampered data/information. The proposed DDPR protocol introduces a lightweight contribution that is represented in detecting and preventing both autorun virus and also the DDoS attack at it’s early stages. DDPR has been tested with different computer devices and platforms. The obtained results clearly show that the proposed protocol is superior to all existing algorithms and solutions.
Keywords:	Virus, Autorun Virus, Protection, System Maintenance, DDPR Protocol.
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2018 -- Vol. 96. No. 17 -- 2018
Full Text

Title:	DEVELOPING A NEW REGRESSION BASED MONTE CARLO FORMULA TO ESTIMATE THE COVERAGE OVERLAPPING AREA IN WSNS
Author:	HAYDER AYAD KHUDHAIR, PROF. DR. SAAD TALIB HASSON
Abstract:	This paper aims to develop a general equation suitable for the process of estimating the overlapping (intersection) area between any two symmetric (homogeneous) circles. The sensor node can be represented by a circle centers on the node position and its radius represents the coverage or the sensing range. Many experiments are done to develop a suitable representative equation. The first step is performed by applying Monte Carlo simulation to estimate the circles areas and comparing their estimated areas with the mathematically calculated areas. The results show that the simulation results are too close to the mathematical calculations. Then Monte Carlo is applied to estimate the overlapping area between two intersected circles. The estimated results are used to develop a general regression equation which can be used easily in estimating any overlapping area between any two similar circles depending on the circle radius and the distance between the two centers. The experiments are conducted on the two not similar (heterogeneous) circles. The results show difficulties in developing one general equation to represent all the cases. This study helps in developing a suitable equation for each set of two not similar circles.
Keywords:	WSNs, Overlapping, Coverage, Simulation, Regression and MSE.
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2018 -- Vol. 96. No. 17 -- 2018
Full Text

Title:	TOUR TIME MINIMIZATION FOR MULTIPLE UAV IN DEADLINE BASED WSN APPLICATIONS
Author:	ALAA TAIMA ALBU-SALIH, Dr. SAYED AMIN HOSSEINI SENO
Abstract:	Today, with scientific and technological advances in the field of robotics, artificial intelligence, control and computers, land, air and sea vehicles, they have been considered. Unmanned Aerial Vehicles (UAVs) have also significantly improved and are very useful for many important applications in the business, urban and military environment. One of the important uses of UAVs in Wireless Sensor Networks (WSNs) is that these devices may not be able to communicate in large areas due to their energy constraints. In this case, a UAV can play mobile collectors for WSN networks. In this paper, we survey the work done towards all of practical applications of UAVs as mobile collectors for wireless sensor networks. We first examine the proposed UAV applications and compared their weaknesses with each other. We also examine the technical challenges we have about the applications of UAVs in the Wireless Sensor Network in detail. Then, in this paper, we provide an energy efficient data gathering with a deadline for wireless sensor networks using the UAV and a series of virtual grid points, named virtual grid energy efficient deadline based data gathering (VGEEDDG), to determine the optimal virtual grid points, optimal sojourn time for deploying multiple UAVs with the minimum time required in a predetermined deadline time to collect buffer data from cluster heads. In fact, in many applications, especially in practical applications, the deadline is limited to the critical level of application, and as a result, this deadline time for collecting data is not enough, and single UAV cannot collect data from cluster head with minimal energy. In this situation, this paper presents seven strategies for solving the problem of inadequate deadline time is provided by multiple UAVs for deadline based WSN applications. The results obtained in the simulation section show that the proposed framework is able to provide efficient data collection with satisfactory energy constraints and a deadline when dependent on the critical level of the application.
Keywords:	Data Collection, Wireless Sensor Networks, Unmanned Aerial Vehicles, Mixed Integer Linear Programming Deadline, Virtual Grid Points
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2018 -- Vol. 96. No. 17 -- 2018
Full Text

Title:	DEVELOPMENT OF ALKIN MODEL INSTRUMENTS AS EVALUATION TOOLS OF BLENDED LEARNING IMPLEMENTATION IN DISCRETE MATHEMATICS COURSE ON STIKOM BALI
Author:	GUSTI AYU DESSY SUGIHARNI, NI WAYAN SETIASIH, I WAYAN EKA MAHENDRA, I MADE ARDANA, DEWA GEDE HENDRA DIVAYANA
Abstract:	This study was conducted with the main purpose of obtaining in-depth information about the validity and reliability of Alkin model instruments used to evaluate the effectiveness of blended learning in Discrete Mathematics courses on STIKOM Bali. The approach of this study was instrument development research, with five steps: 1) definition of variables, 2) translation variables into indicators, 3) arrangement of instrument’s item, 4) test of instrument, and 5) validity and reliability analysis of instruments. Subjects involved in this study, such as: an expert in informatics engineering education and experts in evaluation education involved in testing the validity of instrument contents, and as many as 50 students who were involved to be respondents to fill out the test result instrument of content validation by experts, so it can be obtained the instrument validity and reliability instruments. The tools used in data collection are questionnaires that have not been tested and photos documentation. The technique used to analyze the validity of the instruments contents using Gregory formula, while the technique used to analyze the validity of instrument items using correlation formula Pearson-product moment, Techniques used to analyze the instrument’s reliability using the formula of Cronbach Alpha coefficient. The results of this study indicate the content validity and the instrument’s reliability belonging to excellence criteria. Also, from the validation of instrument items obtained 52 instrument items that remain used because it’s valid and three instrument items are discarded because it’s not valid.
Keywords:	Instruments, Alkin Model, Evaluation, Blended Learning, Discrete Mathematics
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2018 -- Vol. 96. No. 17 -- 2018
Full Text

Title:	A REVIEW AND OPEN ISSUES OF DIVERSE TEXT WATERMARKING TECHNIQUES IN SPATIAL DOMAIN
Author:	ALI A. ALWAN, SHAHIDAN M.A, NILAM NUR AMIR
Abstract:	Nowadays, information hiding is becoming a helpful technique and fetches more attention due to the fast growth of using the internet; it is applied for sending secret information by using different techniques. Watermarking is one of major important technique in information hiding. Watermarking is of hiding secret data into a carrier media to provide the privacy and integrity of information so that no one can recognize and detect it's accepted the sender and receiver. In watermarking, many various carrier formats can be used such as an image, video, audio, and text. The text is most popular used as a carrier files due to its frequency on the internet. There are many techniques variables for the text watermarking; each one has its own robust and susceptible points. In this study, we conducted a review of text watermarking in the spatial domain to explore the term text watermarking by reviewing, collecting, synthesizing and analyze the challenges of different studies which related to this area published from 2013 to 2018. The aims of this paper are to provide an overview of text watermarking and comparison between approved studies as discussed according to the Arabic text characters, payload capacity, Imperceptibility, authentication, and embedding technique to open important research issues in the future work to obtain a robust method.
Keywords:	Information Hiding, Text watermarking, Least Significant Bit (LSB), Different types of watermarking, Spatial Domain.
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2018 -- Vol. 96. No. 17 -- 2018
Full Text

Title:	A REVIEW OF DIGITAL FORENSICS METHODS FOR JPEG FILE CARVING
Author:	RABEI RAAD ALI, KAMARUDDIN MALIK MOHAMAD, SAPIEE JAMEL, SHAMSUL KAMAL AHMAD KHALID
Abstract:	Digital forensics is an important field of cybersecurity and digital crimes investigation. It entails applying file recovery methods to analyze data from storage media and extract hidden, deleted or overwritten files. The recovery process might have accompanied with cases of unallocated partitions of blocks or clusters and the absence of file system metadata. These cases entail advance recovery methods that have carving abilities. The file carving methods include different types of techniques to identify, validate and reassemble the file. This paper presents a comprehensive study of data recovery, file carving, and file reassembling. It focuses on identifying and recovering JPEG Images as it is a wildly covered in the literature. It classifies the carving techniques into three types: signature-, structure-, and content-based carvers. Subsequently, the paper reviews seven advanced carving methods in the literature. Finally, the paper presents a number of research gaps and conclude a number of possible improvements. Generally, both the gaps and possible improvements are associated with the fragmentation problem of data files.
Keywords:	Digital Forensics, Data Recovery, File Carving, File Reassembling, JPEG Image
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2018 -- Vol. 96. No. 17 -- 2018
Full Text

Title:	RECOGNITION OF CUNEIFORM SYMBOLS USING NEURAL NETWORK
Author:	NADA A. RASHEED, WESSAM LAHMOD NADOS
Abstract:	Recognition is regarded as a basic human attribute. In pattern recognition, there are many practical applications such as: handwriting, fingerprints, face recognition and many others. The purpose of the current work is to propose a method is able to recognize cuneiform symbols through the use of neural network. In order to achieve this objective, the image is loaded into the memory and the preprocessing can be done with introduce some modifications. Then, the attributes are extracted by finding the frequency of the on-pixels in the (50× 50) image matrix on the horizontal lines, vertical lines, the upper triangle of the main diagonal, and the lower triangle of the main diagonal. Finally, Backpropagation Algorithm was used in recognition with (20) hidden nodes and at the learning rate (0.05), within a short training time.
Keywords:	Cuneiform, Symbols, Numerals, Recognition, Backpropagation
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2018 -- Vol. 96. No. 17 -- 2018
Full Text

Title:	TASK SCHEDULING ALGORITHM IN CLOUD COMPUTING BASED ON MODIFIED ROUND ROBIN ALGORITHM
Author:	RUBA ABU KHURMA, HEBA AL HARAHSHEH, AHMAD SHARIEH
Abstract:	Cloud computing offers opportunities to access remote physical and virtual resources. Due to the continuing development of cloud computing, many challenges face this technology. One of these challenges is tasks scheduling. It refers to the process of allocating users’ tasks to virtual machines (VMs) with a goal of minimizing the turnaround time and improving the resource utilization. Tasks scheduling is considered NP hard problem with O(mn ) run time complexity to schedule n tasks on m resources. The process of tasks scheduling consumes a large solution space and with lacking of algorithms that can find the optimal solution in a polynomial run time. This paper presents a review study of various task scheduling algorithms in cloud environment including: RR, MaxMin, MinMin, FCFS, MCT, PSO, and GA, with a case study on modified round robin (MRR) algorithm. The MRR algorithm has been tested using CloudSim toolkit. The results show that when using the MRR algorithm to schedule a number of Cloudlets over a number of VMs, the average waiting of run time becomes less than when using RR in the same environments. Thus, it is advisable to use the proposed MRR for tasks scheduling in cloud computing, because it reduces the average waiting time and keeps the good features of the RR such as fairness, avoiding starvation, based on simple rule, dynamic based on CC environment situations, and suitable for load balancing.
Keywords:	Cloud Computing, CloudSim, Dynamic Scheduling, Modified Round Robin, Task scheduling, Virtual Machines.
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2018 -- Vol. 96. No. 17 -- 2018
Full Text

Title:	DOCUMENTS AND IT RESOURCES AS ESSENTIAL ELEMENT IN AWARENESS IT GOVERNANCE: AN ANALYSIS OF STUDY
Author:	UKY YUDATAMA, ACHMAD NIZAR HIDAYANTO, BOBBY A.A NAZIEF
Abstract:	This study aims to explore and provide recommendations on the priority scale of the elements in documents and IT resources related to the implementation of IT Governance. Excavation of this element is done through literature studies of articles related to IT Governance. In addition to exploring the elements contained in IT documents and resources, this research also looks for the most important sequence of elements, both on documents and on IT resources. Determination of priority scale is done through the survey by using pooling system which addressed to some respondents with criterion have credibility and quality that can be relied upon, so that answer given can be accounted its validity. The end result of this research is that it can give a real contribution especially in obtaining the important elements of IT documents and resources and give the order of priority scale as recommendation material to the stakeholders. IT documents and resources are crucial in the implementation of IT Governance, therefore it is necessary to raise a good awareness in the governance as well as strict supervision of all parties involved so that the implementation of IT Governance can achieve success according to organizational goals.
Keywords:	Documents, IT Resources, Elements, Awareness, IT Governance
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2018 -- Vol. 96. No. 17 -- 2018
Full Text

Title:	TRAFFIC SURVEILLANCE SYSTEM FOR VEHICLE DETECTION USING DISCRETE WAVELET TRANSFORM
Author:	IBTISSAM SLIMANI, ABDELMOGHIT ZAARANE, ABDELLATIF HAMDOUN, ISSAM ATOUF
Abstract:	Detecting vehicles using image processing is a real challenge and an important task in intelligent transportation systems (ITS). This paper presents a simple and accurate method for detecting vehicles to inform the transportation department in real time about vehicles information with high accuracy and efficiency. As details, two dimensional discrete wavelet transform is used first for extracting features from the images which has a good location property in time and frequency domains. Moreover, road detection is proposed to determine the zone of interest, this technique is used one time at the beginning of the processing to solve the problem of unimportant movement of the background and also to reduce the processing time. To detect vehicles, the Background subtraction method is used, followed by the connected components method to improve the results of the detection. A background update method is performed each period of time to overcome the problem of the road conditions changes and also the weather conditions changes. The proposed method is tested in different videos, especially highways videos where the presented results show clearly that the method is efficient and suitable for real-time vehicle detection.
Keywords:	Detecting vehicles, Discrete wavelet transform, Background subtraction, Connected components, Road detection, Background update, Vehicles detecting.
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2018 -- Vol. 96. No. 17 -- 2018
Full Text

Title:	HUMAN IDENTIFICATION BASED ON THINNING MINUTIAE OF FINGERPRINT
Author:	OMED HASSAN AHMED, JOAN LU, MUZHIR SHABAN AL-ANI
Abstract:	The rapid growth in the development of biometric applications causes human identification as an important issue. In addition fingerprint as a part of biometrics leading to an efficient method of human identification. Many problems appears in fingerprint patterns such as noisy patterns, confused patterns, unclear patterns displacement of patterns, spread of ink … etc. The main objective of this paper is to design and implement an efficient and effective approach for human identification using human fingerprint. The main operation of this approach after preprocessing is to localize and recognize the minutiae in fingerprint image. This approach depends on the thinning operation that is so important to prepare the image to recognize the minutiae. Good results have been achieved via implementing this approach, where the obtained similarity ratio is approximately 90%.
Keywords:	Multi-Biometrics; Human Identification; Fingerprint Recognition; Biometric Recognition.
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2018 -- Vol. 96. No. 17 -- 2018
Full Text

Title:	AN EFFICIENT APPROACH FOR TEST SUITE REDUCTION USING K-MEANS CLUSTERING
Author:	MOHAMMED AKOUR, IMAN AL JARRAH, AHMAD A. SAIFAN
Abstract:	Software testing is the primary approach that is used to test and evaluate software under development. The main goal of testing is to find defects before customers find them out. It is very costly. Therefore, reducing the cost of the test is a big challenge. This paper aims at reducing the cost of the test by eliminating the redundant test cases. Our methodology begins with generating the test cases randomly. The Procedural Language/Structured Query Language (PL/SQL) tool is used to generate test cases from the payroll system database functions. The SPSS software package is used to apply the K-means Clustering algorithm to reduce the test cases. The results reveal that the proposed approach significantly reduces the number of test cases from 776 to 240 while keeping the same coverage.
Keywords:	Software Vulnerabilities, Software Complexity, Fault prediction, relation, code complexity
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2018 -- Vol. 96. No. 17 -- 2018
Full Text

Title:	THE ASSESSMENT MODEL OF LEGACY INFORMATION SYSTEM FOR PUBLIC SECTOR
Author:	HUMAIRATH KM ABU BAKAR, ROZILAWATI RAZALI, FATIN FILZAHTI ISMAIL
Abstract:	Over the last decade, the rapid development of the information and communications technology (ICT) has increased the use of information systems in the public sector. In a fast pace, the ICT technology has evolved and switched to more advanced setting to fulfill the system’s intricate demand. Apparently, some agencies in public sector are recognized to still be using an old and outdated information system supposedly for the reason it brings high business value. System with such circumstances is known as Legacy Information System (LIS). However, maintaining LIS involves such significant technical problems. Legacy systems are hard to maintain. There are only a few experts who understand the system, with no much proper documentation prepared, requiring high maintenance costs. This triggered the agencies to come with a decision in determining the appropriate action towards the LIS implementation. This paper therefore aims to address this concern by providing guidance in assessing the LIS and suggesting the befitting response in a form of a model based on the identified evaluation factors. This study adopted qualitative approach, which incorporates the theoretical and empirical phase. The theoretical phase is conducted by analysing existing literature of the information system assessment models and methods which are the ISO 25010, ISO 25012, Hierarchical Model and Renaissance Method. The empirical is conducted by employing interviews with informants that involved in the use of LIS. Data from the theoretical and empirical study were analysed using content analysis. The model then was validated by selected experts that are experienced in the business and technical of the public sector. The model combines three aspects; namely the business-value, technical quality and organisational aspects. This model contributes as references for the management people in assessing the LIS for the public sector.
Keywords:	Legacy Information Systems; Legacy Information Systems Evaluation Models; Legacy Information Systems Evolution
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2018 -- Vol. 96. No. 17 -- 2018
Full Text

Title:	MODEL FOR DECISION-MAKING PROCESS WITH BIG DATA
Author:	BELKACEM ATHAMENA, ZINA HOUHAMDI
Abstract:	Currently, Big Data is an important concept due to the pervasive use of electronic devices, computerization, and information sharing worldwide. Despite the focus on Big Data, studies lack an explicit definition of the Big Data concept. Big Data is assumed to present natural solutions to government and private sectors, but the practical results of Big Data in other sectors are still unknown. This paper discusses Big Data concerning two perspectives: decision-making process and knowledge creation theory. The main finding of this investigation is that Big Data represents an exceptional source to generate new knowledge that supports the decision-making process in companies.
Keywords:	Decision Support System, Business Intelligence, Big Data, Decision-Making
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2018 -- Vol. 96. No. 17 -- 2018
Full Text

Title:	A CONCEPTUAL FRAMEWORK FOR DETERMINING THE SUCCESS FACTORS OF E-LEARNING SYSTEM IMPLEMENTATION USING DELPHI TECHNIQUE
Author:	DR. MOHAMMED AMIN ALMAIAH , DR. AHMED AL MULHEM
Abstract:	Several obstacles face the successful implementation of e-learning systems, and one of the most important of these is user acceptance of the system. This research investigated the critical factors that lead to successful implementation of e-learning systems. We used the Delphi technique to obtain consensus from expert respondents about the most critical factors that will contribute to successful e-learning implementation at Saudi Arabian universities. We then used these results to create a framework that highlights 11 critical factors grouped into four domains that cover website quality, technology options, top management support, and e-learning awareness by academic faculty and students. The results of this research will help designers, developers, and decision-makers to better understand the most important guidelines for a successful development of an e-learning system.
Keywords:	E-Learning System Implementation; Success Factors; Delphi Technique; Saudi Arabia
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2018 -- Vol. 96. No. 17 -- 2018
Full Text

Title:	ARTIFICIAL NEURAL NETWORK BASED UNIFIED POWER QUALITY CONDITIONER FOR POWER QUALITY IMPROVEMENTS OF DOUBLY FED INDUCTION GENERATOR
Author:	kaoutar RABYI, Hassane MAHMOUDI
Abstract:	To reduce the mathematical operations and different transformations, the artificial neural network (ANN) approach is proposed for the unified power quality conditioner (UPQC). This paper proposes a voltage source inverter (VSI) based UPQC with ANN controller when a Doubly Fed Induction Generator (DFIG) is connected to the grid. The performance of UPQC with ANN controller is tested under different sag, harmonic and swell conditions, the algorithm used for the ANN control is Gradient Descent with Momentum to generate the referencing signals and maintain the UPQC dc link capacitor voltage. The simulations are carried out in the software Matlab/Simulink. Results shows efficiency of the ANN control strategy in compensating currents and voltages of the system.
Keywords:	DFIG, UPQC, ANN, Sag, Swell, Harmonic
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2018 -- Vol. 96. No. 17 -- 2018
Full Text

Title:	EFFECT OF FEEDBACK CHANNEL DELAY ON IMPROVED JOINT CARRIER SCHEDULING FOR HETEROGENEOUS SERVICES BASED 5G LTE-ADVANCED NETWORKS
Author:	HAITHAM S BEN ABDELMULA, M. N.MOHD WARIP, ONG BI LYNN, NAIMAH YAAKOB
Abstract:	5G Long Term Evolution-Advanced (LTE-A) network based Carrier Aggregation (CA) technique is a promising next generation of all IP mobile networks. The CA technique is very vital to support the 5G LTE-A network with unprecedented speed of data transmission and minimal latency. In order to support and meet the user level Quality-of-Services (QoS) obligations for diversified services “Real-Time (RT) and Non-Real-Time (NRT) traffic”, one of the main challenges in the presence of CA is to offer robust and suitable resource scheduling scheme. For each transmission, the Channel Quality Information (CQI) for individual wireless channel is sent back to the base station eNB, which is used for selecting the suitable modulation and coding scheme. However, prospect delays in the reception of such CQI may lead degradation in QoS performance due to a mismatch between CQI and current channel state at the eNB. This paper, proposes an Improved Joint Carrier Scheduling (IJCS) algorithm which optimizes the performance of User-Level Quality of Service in 5G LTE-A system. The IJCS scheme is more suitable to various traffic users by introducing the service weight factor. As for different feedback delays, both carrier scheduling algorithms namely, JCS and IJCS scheme’s metrics were computed in order to achieve the user quality of service (QoS) and equitable allocation of radio resources among users. Furthermore, a comparison between these schemes metrics was done under different feedback delays to select the best one that can satisfy the user-level QoS constraints. Simulation outcomes demonstrate that the proposed IJCS scheme has achieve the QoS demands for real-time users and fulfils the user’s throughput requirements of NRT streaming video.
Keywords:	5G, LTE-Advanced, Carrier Aggregation (CA), IJCS, QoS, OFDMA, Service Weight Factor, Feedback Delays
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2018 -- Vol. 96. No. 17 -- 2018
Full Text

Title:	BALINESE PAPYRUS MANUSCRIPT IMAGE SEGMENTATION USING DBSCAN CLUSTERING METHOD
Author:	AYU WIRDIANI, SURYA SUKMA, OKA SUDANA, SUAR WIBAWA
Abstract:	Papyrus Manuscript is handwritten in the form of an ancient script and written using Balinese script. Existence of Balinese Papyrus Manuscript in Balinese’s life is scarce. Today’s young generation almost left Balinese Papyrus Manuscript because of its complexity and difficult to understand. This traditional manuscript used Balinese Letters, which had some unique characteristics and patterns. This unique characteristic could identified using image processing technologies, which presented in this research. Segmentation on Balinese Papyrus Manuscript image is to get Balinese script letter object. The result of segmentation process would be used to helped recognized Balinese Letters by its features, with a computer-based application. Segmentation of the Balinese Papyrus Manuscript image used DBSCAN clustering method. This research consist of three steps. First step was image acquisition. The second step was image pre-processing. The last step was segmentation process using DBSCAN clustering method. The average success rate of segmentation process reached 78.8% with 21.2% error rate. The average of excecution time when the testing process reached 27.227 seconds.
Keywords:	Balinese Papyrus Manuscript, Balinese Script, Image Segmentation, Clustering DBSCAN, Image Acquisition.
Source:	Journal of Theoretical and Applied Information Technology 15^th September 2018 -- Vol. 96. No. 17 -- 2018
Full Text