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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
January 2020 | Vol. 98 No.01

Title:	MODEL OF CYBERSECURITY MEANS FINANCING WITH THE PROCEDURE OF ADDITIONAL DATA OBTAINING BY THE PROTECTION SIDE
Author:	LAKHNO V., MALYUKOV V., YEREKESHEVA M., KYDYRALINA L., SARSIMBAYEVA S., ZHUMADILOVA M., BURIACHOK V., SABYRBAYEVA G.
Abstract:	The article describes the model of cybersecurity means financing strategies of the information object with incomplete information about the financial resources of the attacking side. The proposed model is the core of the module of the developed decision support system in the problems of choosing rational investing variants for information protection and cybersecurity of various information objects. The model allows to find financial solutions using the tools of the theory of multistep games with several terminal surfaces. The authors proposed an approach that allows information security management to make a preliminary assessment of strategies for financing the effective cybersecurity systems. The model is distinguished by the assumption that the protection side does not have complete information, both about the financing strategies of the attacking side, and about its financial resources state aimed at overcoming cybersecurity lines of the information object. At the same time, the protection side has the opportunity to obtain additional information by the part of its financial resources. This makes it possible for the protection side to obtain a positive result for itself in the case when it can not be received without this procedure. The solution was found using a mathematical apparatus of a nonlinear multistep quality game with several terminal surfaces with alternate moves. In order to verify the adequacy of the model there was implemented a multivariate computational experiment. The results of this experiment are described in the article.
Keywords:	Cybersecurity, Information Protection, Informatization Object, Theory Of Games, The Choice Of Financing Strategy, Procedure Of Additional Data Obtaining, Decision Support System.
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2020 -- Vol. 98. No. 01 -- 2020
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Title:	CONTRIBUTION TO THE DESIGN OF NEW APPROACHES FOR ENERGY MANAGEMENT IN WIRELESS SENSOR NETWORKS
Author:	RAYRI YASSINE, HATIM KHARRAZ AROUSSI, ABDELAZIZ MOULOUDI
Abstract:	The Wireless sensor is a micro device that allows measuring a physical quantity from the environment and transforming it autonomous into a digital value that can be processing. The collection, processing and transmission of data are the main factors of the dissipation of the energy for the wireless sensors, since these Battery-powered sensors is limited in energy, and it is usually impossible to recharge or replace it, knowing that sensors are generally distributed in places which are difficult to reach. Indeed, the lifetime of the network is one of the major constraints facing in WSN. Therefore, the energy consumption of the sensors plays an important role in the network lifetime. Among scientific research developed to improve the lifetime of wireless sensors network is the integration of a new techniques of routing protocols existing. In this paper, we will solve two major energy problems. The first concerns the equitable distribution of energy on all the nodes of the network in order to eliminate the energy holes. The second is the minimization of energy consumption to maximize or extend the life of the network. To achieve these objectives, we propose firstly the EDE (Equitable Distribution Energy) protocol based on clustering. This guarantees an equitable distribution of energy across the entire sensor network. In the second phase, we propose a new protocol named EDEE, which is an improvement of the EDE protocol, to minimize the energy consumption of the nodes. At the end, the EEDE (Energy and Equitable Distribution Energy) protocol would thus be a complete and efficient protocol in terms of energy.
Keywords:	Wireless Sensor, Clustering, Energy hole, Equitable distribution energy, Energy dissipation
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2020 -- Vol. 98. No. 01 -- 2020
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Title:	A ClOUDLET BASED SECURITY AND TRUST MODEL FOR E-GOVERNMENT WEB SERVICES
Author:	BASSAM AL-SHARGABI ,SHADI AL-JAWARNEH , AND SOFYAN M.A. HAYAJNEH
Abstract:	Nowadays, Cloud Computing and Web services are the main backbone of e-government applications because of its interoperability and accessibility nature. Web services that are maintained in Cloud brought much attention in research and industry in terms of securing the communicated Web services. Thus, securing and trusting between the communicated Web services has been gradually becoming more challenging for Web services consumers, administrators, and Web service providers especially the e-government services. Thus, In this paper, a Cloudlet based security trust model was proposed to guarantee a proper and secure communication between Web services through exploiting the cloud computing infrastructure . In addition, the proposed model is tackling the issues arises when Web service consumers are communicating with any of the e-governmental Web services through a trusted Cloud-based third party that is controlled by any governmental agency. Moreover, the Cloudlet is also used to measure the trustworthiness and conformance with the published policy by the provider of Web services through feedback from the Web service consumer. . The experimental result of the proposed model shows an outstanding performance regarding different size of SoAP messages using triple DES and RSA as standard encryption algorithms.
Keywords:	Web service; Security;Trust model; Cloudlet; E-government
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2020 -- Vol. 98. No. 01 -- 2020
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Title:	LEAN DESIGN METHODOLOGY FOR LEAN PRODUCT USING UML MODELING
Author:	DAHMANI NOUREDDINE, BENHIDA KHALID, ELFEZAZI SAID
Abstract:	The design phase is one of the crucial and important steps in the development of any product. All processes in the product life cycle are strongly determined by the product design, the concept of lean design aims to maximize customer value and minimize waste throughout the product life cycle by an optimized product design. However, and considering the complicated aspect of the design activity, a designer generating a holistic product design must take into consideration several parameters and aspects. Therefore, this paper argues for formalizing the product design methodology in a lean vision, throughout the modeling of different aspects of the product design process while integrate the lean principals, that can be exploited by company actors or software analysts. For this purpose, we used the UML modeling standard who has become an effective tool in information analysis in industrial design, we believe that such proactive collaboration between tools can significantly reduce the effort and time required for product design.
Keywords:	Lean design, Product design, UML modeling, Collaborative design.
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2020 -- Vol. 98. No. 01 -- 2020
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Title:	CARDIOVASCULAR DISEASE CLASSIFICATION BASED ON ECHOCARDIOGRAPHY AND ELECTROCARDIOGRAM DATA USING THE DECISION TREE CLASSIFICATION APPROACH
Author:	TB AI MUNANDAR, SUMIATI, VIDILA ROSALINA
Abstract:	For a doctor, diagnosing a patient's heart disease is not easy. It takes the ability and experience with high flying hours to be able to accurately diagnose the type of patient's heart disease based on the existing factors in the patient. Several studies have been carried out to develop tools to identify types of heart disease in patients. However, most only focus on the results of patient answers and lab results, the rest use only echocardiography data or electrocardiogram results. This research was conducted to test how accurate the results of the classification of heart disease by using two medical data, namely echocardiography and electrocardiogram. Initial research was conducted by comparing two classification methods, namely Naive Bayes and Decision Tree. The results of the comparison of classification models show that the decision tree approach has a better accuracy than Naive Bayes. Three treatments were applied to the two medical data and analyzed using the decision tree approach. The first treatment was to build a classification model for types of heart disease based on echocardiography and electrocardiogram data, the second treatment only used echocardiography data and the third treatment only used electrocardiogram data. The results showed that the classification of types of heart disease in the first treatment had a higher level of accuracy than the second and third treatments. The accuracy level for the first, second and third treatment were 78.95%, 73.69% and 50%, respectively. This shows that in order to diagnose the type of patient's heart disease, it is advisable to look at the records of both the patient's medical data (echocardiography and electrocardiogram) to get an accurate level of diagnosis results that can be accounted for.
Keywords:	Heart Disease, Echocardiography, Electrocardiogram, Classification, Decision Tree
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2020 -- Vol. 98. No. 01 -- 2020
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Title:	INSECT PESTS RECOGNITION BASED ON DEEP TRANSFER LEARNING MODELS
Author:	NOUR ELDEEN M. KHALIFA , MOHAMED LOEY , MOHAMED HAMED N. TAHA
Abstract:	Agriculture is one of the most important sources for human food throughout the history of humankind. In many countries, agriculture is the foundation of its economy, and more than 90% of its population deriving their livelihoods from it. Insect pests are one of the main factors affecting agricultural crop production. With the advances of computer algorithms and artificial intelligence, accurate and speedy recognition of insect pests in early stages may help in avoiding economic losses in short and long term. In this paper, an insect pest recognition based on deep transfer learning models will be presented. The IP102 insect pest dataset was selected in this research. The IP102 dataset consists of 27500 images and contains 102 classes of insect pests, it is considered one the biggest dataset for insect pest and was launched in 2020. Through the paper, AlexNet, GoogleNet, and SqueezNet were the selected deep transfer learning models. Those models were selected based on their small number of layers on their architectures, which will reflect in reducing the complexity of the models and the consumed memory and time. Data augmentation techniques were used to render the models more robust and to overcome the overfitting problem by increasing the dataset images up to 4 times than original images. The testing accuracy and performance metrics, such as the precision, recall, and F1 score, were calculated to prove the robustness of the selected models. The AlexNet model achieved the highest testing accuracy at 89.33%. In addition, it has a minimum number of layers, which decreases the training time and computational complexity. Moreover, the choice of data augmentation techniques played an important role in achieving better results. Finally, A comparison results were carried out at the end of the research with related work which used the same dataset IP102. The presented work achieved a superior result than the related work in terms of testing accuracy, precision, recall, and F1 score.
Keywords:	Agriculture, Insect Pest, Transfer Learning, Convolutional Neural Network, Image Processing, Machine Learning
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2020 -- Vol. 98. No. 01 -- 2020
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Title:	ENERGY OVERHEAD EVALUATION OF SECURITY TRUST MODELS FOR IOT APPLICATIONS
Author:	AMEER ALHASAN, LUKMAN AUDAH, AMJED ALABBAS
Abstract:	Internet of things networks (IoT) has emerged as promising technology for handling small network based devices. However, its limited resources remain the main concern in implementing this type of networks. Energy one of the main factor of these resources where most of IoT devices depends on batteries. Energy reduction efforts are continuous in different trends; protocol overhead is one of the main topic in this direction. Most recently proposed trust-based security approaches include high overhead in term of energy consumption; however, this overhead is not investigated. In this paper, the energy overhead of recently proposed trust model research is investigated. Three of the main trust models for security purposed is investigated. Results show how protocol overhead can directly affect the energy consumption. It mainly demonstrates that high number of packets exchange in any algorithm can increase the energy overhead. Results shows that low communication overhead algorithm has efficiently reduced the power dissipation and enhance network lifetime
Keywords:	Internet Of Things (Iot) , Trust Model , Energy , Power Dissipation.
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2020 -- Vol. 98. No. 01 -- 2020
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Title:	AN EFFECTIVE AND SECURE DIGITAL IMAGE STEGANOGRAPHY SCHEME USING TWO RANDOM FUNCTION AND CHAOTIC MAP
Author:	MOHANAD NAJM ABDULWAHED
Abstract:	Among the critical features of actions and strategies in the information and communications technology period is securing information. The reliability of information ought to be the main consideration in the discrete transfer of information between two people. For the security of information, the approaches entail steganography and cryptography. In cryptography, the discrete information is changed into indiscernible information yet still the secret information is recognizable, while steganography is about concealing the secret text to avoid it being discerned. This paper presents a current secure image steganography method called new stego key adaptive LSB (NSKA-LSB). The establishment of the suggested method was built in four stages with an objective of a better data-hiding algorithm in cover image identity using potentiality, image aspects, and reliability. Attaining this involves preserving the Peak Signal-to-Noise Ratio (PSNR) of the steganography method. The four-stage proceeded with pixel determination assembly stage, then secret information assembly stage, embedding stage and lastly extrication stage. The reliable image steganography method suggested in this paper is established on a novel transformation of least significant bit exchange technique, a fusion of two arbitrary functions, and a chaotic map. The suggested method entails direct or inverse discrete bit positioning of strengthening the invisibility and difficulty of the insertion exercise. The reason for suggesting the hiding algorithm is to tackle statistical and visual types of attacks. The investigations outcomes exhibit that the formula gives the improved quality index, peak signal-to-noise ratio, and payload employed for stego image examination.
Keywords:	Image steganography Bernoulli’s map, PSNR, SSIM, RLE
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2020 -- Vol. 98. No. 01 -- 2020
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Title:	ENTROPY BASED DECISION MAKING METHOD IN MANAGING THE DEVELOPMENT OF A SOCIO- INFORMATIONAL SYSTEM
Author:	V. KULIKOV, K. IKLASSOVA, A. KAZANBAYEVA
Abstract:	This article describes the informational and entropic approach to informational flow analysis in management system of higher educational establishment. A review of a range of theoretically suitable entropy versions has been presented as well as the facts with calculations examples, oriented to the further application to decision-making system in management of higher educational establishment workflow processes. This study contains the new method for a system of support of management decision making in prioritizing and choosing of the ways of building university educational policy. Applicability of receiving of a new data that can improve regional educational system by evaluation of structuring of curriculums and educational programs.
Keywords:	Information; Entropy; Decision-Making; Management; Higher Education.
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2020 -- Vol. 98. No. 01 -- 2020
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Title:	A SYMMETRIC KEY BASED STEGANOGRAPHY CALCULATION FOR ANCHORED INFORMATION
Author:	YAHIA SABRI AL-HALABI
Abstract:	Advancement in technology have brought about several sophisticated devices, using electronic media communication is more prone to attacks than communicating over traditional channels. While the traditional communication systems were insecure, it was rather more difficult to intercept communication without the communicating parties without the realization of the owner of the information being sent, due to either breaking of the seal to find out the content, or harm to the courier carrier. The message is open to all, once inserted into the shared network, or sent to the receiver from the sender, and moreover completely insecure. The message being sent must also conform to network security convention confidentiality, integrity, authentication and availability. In this paper, we followed some objectives in which we hid the message or a secret data into an image which acts as cover medium using LSB technique and how information exchange can be carried out using symmetric key based steganography. Steganography (LSB substitution) and two techniques of JPEG steganography (Jsteg and Steghide) taking secret information as a data file and as an image and to do comparisons between them in terms of embedding capacity and quality of produced stego-image and robustness to attacks. Also, video files are files that store motion pictures and sounds like in real life. In today's world, the need for automated processing of information in video file is increasing. Automated processing of information has a wide range of application including office/home surveillance cameras, traffic control, sports applications, remote object detection, and others. In particular, detection and tracking of object movement in video file plays an important role. This paper describes the methods of detecting objects in video files. Today, this problem in the field of computer vision is being studied worldwide.
Keywords:	Information, Security of Secret Data, Key Based Steganography, Encryption.
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2020 -- Vol. 98. No. 01 -- 2020
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Title:	WRITING STYLE AND WORD USAGE IN DETECTING DEPRESSION IN SOCIAL MEDIA: A REVIEW
Author:	NUR ZAREEN ZULKARNAIN, HALIZAH BASIRON, NORIDA ABDULLAH
Abstract:	In todays digital age, social media have become the most common channel for individuals to express their opinions and feelings. As common as this, the extensive usage of social media has also been associated with mental illnesses such as anxiety, suicidality and depression. The digital traces the individuals left provide insights into not just their daily life but also on their health and mental state. This allows for various prediction and preliminary diagnosis to be made. The advancement of research in the Natural Language Processing (NLP) field has allowed researchers to understand individuals based on texts they shared in their social media account. This paper reviews the techniques and methods used in detecting depression from social media texts where emphasis are being placed on the writing style and the word usage of the social media users. Writing styles and choices of words have been seen as a possible indicator in detecting depression from social media texts. Various methods and platforms have been adopted to investigate the effectiveness of detecting depression based on these two components. This paper discusses these methods and techniques as well as the areas where improvements can be made.
Keywords:	Social Media; Depression Detection; Lexicon; Ontology; Text Analysis
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2020 -- Vol. 98. No. 01 -- 2020
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Title:	TOWARDS CERTFICATELESS PUBLIC KEY INFRASTRUCTURE: A PRACTICAL ALTERNATIVE OF THE TRADITIONAL PKI
Author:	EIHAB B.M. BASHIER, MOHAMMED A. HASSOUNA, TAOUFIK BEN JABEUR
Abstract:	Although the maturity and efficiency of the traditional PKI in managing the public keys of the enterprise users, it still has two central and interrelated challenges or limitations when the number of users get large: Scalability and Key management. These two challenges are of great concern to the organization's information security officials, who are working to manage public key infrastructure, especially when the organization's growth rate becomes large. The most two significant alternatives for the traditional PKI are: Identity-based Cryptography and Certificateless Cryptography. The Identity-based Cryptography (IBC) provides an easy way to manage the public keys of its users, without need to any kind of certificate and its managing overhead, where the identity of a user is its public key. The private key is provided by a trusted Key Generation Centre (KGC) after an authentication process that the user must follow. IBC has many security features, and there are many schemes in the literature that are based on this new concept. It has one major problem: The Key escrow, where all the private keys of the users are generated centrally by the KGC. Certificateless Cryptography is another important alternative for the traditional PKI. It provides solution to the key escrow problem encountered by the IBC and raises many nice security features. This paper provides a robust certificateless signature scheme, which is provably secure in the Random Oracle Model (ROM). Then, it presents a Certificateless Hierarchal Encryption scheme, which provides trust level 3, so, can solve many practical problems, based on the Certificateless Cryptography as a public key infrastructure.
Keywords:	Certificateless cryptography, Public key infrastructure, Random Oracle Model, Security services, Trust levels.
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2020 -- Vol. 98. No. 01 -- 2020
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Title:	A DELPHI-BASED SECURITY RISK ASSESSMENT MODEL FOR CLOUD COMPUTING IN ENTERPRISES
Author:	AHMED YOUSSEF
Abstract:	Cloud computing (CC) reveals a remarkable potential to provide on-demand services to a wide variety of enterprises over the Internet with greater flexibility in a cost-effective manner. However, it presents an added level of security and privacy risks because essential services are often outsourced to a third party. Security risks are the most critical issue that hinders enterprises from adopting CC since they may result in loss of satisfaction for many business objectives. On the other hand, Cloud Service Providers (CSP) are struggling with the cloud platform security issues since the cloud model has a very complex architecture with many characteristics and different stakeholders’ security requirements. Hence, there is an essential need for an in-depth assessment of cloud related security risks. Traditional risk assessment methods do not fit CC well due to its complex environment and the assumption by those methods that assets are owned and fully controlled by the enterprise itself. In this paper, we propose a Delphi-based Cloud Security Risk Assessment Model (DCSRAM) that identifies, analyzes, and evaluates security risks affecting CC adoption in enterprises. The proposed model supports a higher level of trust in cloud technologies from the side of enterprises and a cost-effective and reliable productivity from the side of CSP. The model has been tested for applicability and usability through a use case scenario.
Keywords:	Cloud Computing; Risk Assessment; Information Security; Data Privacy; Delphi Technique.
Source:	Journal of Theoretical and Applied Information Technology 15^th January 2020 -- Vol. 98. No. 01 -- 2020
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