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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 2021 | Vol. 99 No.09

Title:	APPLICATION THE FUZZY TOPSIS AND FUZZY ELECTRE IN THE SERIOUS GAMES EVALUATION TOOL
Author:	KAMAL OMARI, SAID HARCHI, LYNDA OUCHAOUKA, ZINEB RACHIK, MOHAMED MOUSSETAD, LAHOUCINE LABRIJI
Abstract:	The evaluation of serious games is generally a complicated process because there is usually more than one dimension to be evaluated. In our Serious Games evaluation tool, we have four dimensions in each one we have a several well-defined evaluation criteria's. So we intend to use a fuzzy multi-criteria decision-making method (FMCDM) which has been integrated in order to validate the selection of the different alternatives and the weighting of the multiple criteria involved in our tool. However, even if all methods have the capacity to take into account the imprecision and uncertainty of human judgments, each method has its advantages and disadvantages depending on the context in which it is used. This makes it very difficult to choose one method over another. Moreover, there is no consensus in the scientific community on any particular method. In this paper, we present the use of the fuzzy TOPSIS and fuzzy ELECTRE methods for ranking the evaluation dimensions / alternatives used in our Serious Games evaluation model in which the fuzzy AHP method was used. These three chosen methods, which adapt perfectly to our context, given its discrete aspect, represent respectively the three categories of FMADM (fuzzy multi-attribute decision-making methods): fuzzy pairwise comparison methods, fuzzy distance based methods and fuzzy outranking methods. The results obtained from the application of these fuzzy methods converge towards the same ranking of dimensions / alternatives.
Keywords:	Serious Game, FMADM, fuzzy AHP, fuzzy TOPSIS, fuzzy ELECTRE.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2021 -- Vol. 99. No. 09 -- 2021
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Title:	CURRENT ISSUES AND METHODS OF EVENT PROCESSING IN SYSTEMS WITH EVENT-DRIVEN ARCHITECTURE
Author:	VALERII VLADIMIROVICH PETROV, ANNA VICTOROVNA GENNADINIK, ELENA YUREVNA AVKSENTIEVA, KONSTANTIN VLADIMIROVICH BRYUKHANOV
Abstract:	Systems and methods of event processing are used in many large-scale research projects of European Organization for Nuclear Research, major IT and financial corporations, IoT and many other companies for development of event-driven architectures. Scenarios of application of methods and systems of event processing are numerous, they become more and more popular every year, but part of the mentioned systems is limited due to common event processing issues. Therefore, the issues occurring upon event processing have been studied. This work analyzes the notions of event processing, event processing methods, history of the subject field, urgent issues of event processing methods. In addition, the approaches to their solution are proposed, differences in event processing methods are exemplified, drawbacks of the methods are highlighted. This work analyzes the following problems, which can occur while designing event processing system: processing of out-of-sequence events; occurrence of duplicates; collision upon event processing; distributed fault-tolerant architecture; multi-threaded event processing; adaptive circuits of load balancing; monitoring of event processing application. Each aforementioned problem is briefly described. Several compromise solutions are discussed and tested with the usage of the test bench; it’s aimed at smoothing of consequences of the application of the existing approaches. Some of the methods could lead to the performance degradation. For research purposes were initiated Fuzzy testing for tracking the potential failures and recoveries.
Keywords:	Event Processing, Complex Event Processing, Stream Event Processing, Event Tracing
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2021 -- Vol. 99. No. 09 -- 2021
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Title:	AN EVOLVING APPROACH TO DATA STREAMS CLUSTERING BASED ON CHEBYCHEV WITH FALSE MERGING
Author:	MUSTAFA TAREQ , ELANKOVAN A. SUNDARARAJAN
Abstract:	Data stream clustering is not a recent subject in data analysis and statistics. However, with the rapid deployment of the Internet of Things (IoT), this field faces new practical challenges that researchers intend to solve. These challenges can be summarized under four main categories: high-dimensionality, fast speed of data flow, real-time constraints, and evolving nature. Although numerous density-based algorithms have recently been established for data stream clustering, these algorithms are not without their problems. The quality of these existing clustering algorithms is dramatically reduced when the distance function is used. Another problem is false merging which happens when two or more clusters overlap on top of each other. This paper introduces a new online approach, which is called “Clustering of Evolving data streams based on Chebychev distance with false Merging” (CEC-Merge). The primary goal of this method is to improve the efficiency of the clusters. CEC-Merge is completely online and contains two major steps. The initial step generates a Core Micro-Clusters (CMCs) and the second step merge these CMCs to constructs Macro-clusters. The Chebychev distance function is applied to measure the distance from the new point with the existing CMCs centre. CEC-Merge uses two important parameters to avoid false merging such as “minimum links” and “time intervals”. The proposed technique was validated using various consistency measurements on real and artificial evolving data streams and compared with well-known methods. The CEC-Merge provides an effective solution for improving the efficiency of the cluster.
Keywords:	Clustering, Evolving data stream, Chebychev, Core Micro-Cluster, Density based-clustering.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2021 -- Vol. 99. No. 09 -- 2021
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Title:	DIGITAL TRANSFORMATION IN FLOW PLANNING: THE CASE OF CONTAINER TERMINALS AT A SMART PORT
Author:	MANAR KASSOU, SALMANE BOUREKKADI2, OUAIL EL IMRANI, ABDELHAMID BOULAKSILI, SOUMAYA AHAROUAY, ASMAE OURDI, HASSAN CHIKRI, SAMIRA KHOULJI
Abstract:	Faced with a constantly changing environment, and an international economic context characterized by fierce competition, the digitalization of businesses, and especially medium-sized businesses, has become a sine qua non condition for dealing with this. This article attempts to study digital transformation in correlation with flow planning and its impact on the improvement of international trade in order to address the case of container terminals at the Tanger Med smart port. We have tried to study in detail the various logistics flow planning tools and discussed the case of container terminals in the port of Tangier Med. The action variables discussed in this article are on the factors impacting terminal traffic to Container terminals. The different logistics flows, the planning of logistics flows, the logistics planning tools, the structure of the port of Tanger Med, the evolution of the containerized fleet within the container terminals of the port allow, among other things, the objectives achieved of the paper, This will allow the introduction of very advanced IT solutions in the nearest future within smart ports by aligning with the blockchain.
Keywords:	Information systems, Digital transformation, Information technology implementation, Planning Flow, Blockchain International trade, intelligent system, Smart Port.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2021 -- Vol. 99. No. 09 -- 2021
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Title:	COMPARATIVE ANALYSIS OF UNIVERSAL METHODS NO REFERENCE QUALITY ASSESSMENT OF DIGITAL IMAGES
Author:	ELMIRA ELDAROVA, VALERY STAROVOITOV, KAZIZAT ISKAKOV
Abstract:	The main purpose of this article is to conduct a comparative study of two well-known no-reference image quality assessment algorithms BRISQUE and NIQE in order to analyze the relationship between subjective and quantitative assessments of image quality. As experimental data, we used images with artificially created distortions and mean expert assessments of their quality from the public databases TID2013, CISQ and LIVE. Image quality scores were calculated using the NIQE, BRISQUE functions and their average. The correlation coefficients of Pearson, Spearman and Kendall were analyzed between expert visual assessments and quantitative scores of the image quality, as well as between the values of three compared indicators. For the experiments, the Matlab system and values of its functions niqe and brisque normalized to the range [0, 1] were used. The computation time of niqe is slightly less. The investigated functions poorly estimate the contrast of images, but the additive Gaussian noise, Gaussian blur and loss in compression by the JPEG2000 algorithm are better. The BRISQUE measure shows slightly better results when evaluating images with additive Gaussian noise, while NIQE for blurred by Gaussian. The average of the normalized values of NIQE and BRISQUE is a good compromise. The results of this work may be of interest for the practical implementations of digital image analysis.
Keywords:	Image quality assessment, No-reference measure, Objective metrics, BRISQUE, NIQE
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2021 -- Vol. 99. No. 09 -- 2021
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Title:	QPSJF: A NOVEL CLOUD COMPUTING TASK SCHEDULING POLICY BASED ON COMBINATION OF SCHEDULING ELEMENTS
Author:	AMEERA JARADAT, AHMAD AL-OMARI
Abstract:	Cloud computing is considered one of the rapidly emerging computing environments. It gives the user the ability to choose among the many computing and storage services. Service providers provide the services to users. Users prefer to select an appropriate datacenter for their requests to satisfy their requirements. The need for efficient task scheduling in a cloud computing environment to improve cloud performance motivated researchers to investigate existing task scheduling algorithms and/or to improve existing ones and to develop new ones. This article proposes a task scheduling approach named Queue Priority Shortest Job First scheduling (QPSJF), which is effective in optimizing execution time, waiting time, and response time. The proposed QPSJF algorithm distributes the cloudlets over three designated queues according to their length and priority. The efficiency of the proposed algorithm is supported through simulation and comparative analysis.
Keywords:	Cloud computing; Task scheduling Algorithm; Virtual Machine; CloudSim; Shortest Job First; Priority Queue.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2021 -- Vol. 99. No. 09 -- 2021
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Title:	IMPLEMENTATION OF A BIOINSPIRED ROBOT (RIVER SALMON) FOR STABILITY CONTROL TROUGH THE DORSAL FIN
Author:	FAUSTO CABRERA, MARIO ARELLANO, STEVEN GRANIZO, FABRICIO SANTACRUZ CLAUDIO ROSSI
Abstract:	This document shows the stages of design and implementation of a bio-inspired robot in the morphology of an articulated river salmon. This robot imitates the Subcaringiform displacement that the river salmon presents. The principal analysis of the robot was the influence of the dorsal fin during the displacement, the dorsal fin has 2 DOF, in the first stage, a test evaluating the Pitch and Roll movements during the displacement of the robot was determined, in the second stage, we use the movements of the dorsal fin with tests in the same way as in the first stage and the results shown better stability, in the future work a control system in closed loop will be designed in order to obtain desired movements and positions.
Keywords:	Bioinspired fish, dorsal fin, subcaringiform, bioinspired robot, stability control.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2021 -- Vol. 99. No. 09 -- 2021
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Title:	DEEP LEARNING-BASED METHOD FOR PREDICTION OF SOFTWARE ENGINEERING PROJECT TEAMWORK ASSESSMENT IN HIGHER EDUCATION
Author:	LAMYAA ZAED ALJUAID, MAR YAH SAID
Abstract:	One of the very recent applications of machine learning and deep learning is to predict student’s performance for a specific task. Particularly in software engineering projects in higher educational institutions, one of the major challenges is how to improve the overall software team performance with the ultimate goal of increasing software team productivity. This problem can be termed as Software Engineering Teamwork Assessment and Prediction (SETAP). To address this, we proposed a SETAP method that uses an effective deep-learning-based method for assessment and early prediction of student learning effectiveness in software engineering teamwork. Further, we identified critical features by using feature importance, which affects the performance of the student's team. For the experimental purpose, we used the freely available dataset from the UCI data repository for student learning effectiveness in software engineering teamwork. In the proposed work, we used Feed-forward deep neural network classifier for this purpose. Deep neural networks can produce high accuracy with complex data very quickly. This made them a perfect choice for our work. To compare and evaluate the performance of the proposed prediction method with others (RF, GLM, GBM), we used accuracy percentage, sensitivity, and specificity as performance measuring benchmarks. Also, we evaluated the method on our university datasets. Results proved that the proposed method performed better than the above-mentioned state-of-the-art classifiers.
Keywords:	Teamwork Assessment, Software Engineering, Deep Learning, Stacking.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2021 -- Vol. 99. No. 09 -- 2021
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Title:	DISTANCE LEARNING STRATEGIES USING TECHNOLOGY FOR ELEMENTARY SCHOOL STUDENTS IN YOGYAKARTA DURING THE COVID-19 PANDEMIC
Author:	RADINO, HANIF CAHYO ADI KISTORO, NUR MUNAJAT, HIMAWAN PUTRANTA, AMELIASARI TAURESIA KESUMA, LUMAURRIDLO
Abstract:	This research aims to explore the experiences of teachers in implementing distance learning strategies for elementary school students. Participants in this research were 6 teachers from public elementary schools in Yogyakarta who ranked first. In-depth interview method as a data collection technique. Data analysis using semantic reduction. The results of the research found that distance learning in Yogyakarta public elementary schools used an inquiry strategy or deepening of the material itself by students. Learning is carried out by providing material and giving assignments. The media used is an application on the internet that supports distance learning according to the conditions and abilities of students in the form of group WhatsApp. Factors affecting distance learning include teacher competence, student ability to operate learning tools, different cognitive abilities of students, unfamiliarity with distance learning, internet stability, adequate internet quota, and less intensive parental assistance.
Keywords:	Covid-19 Pandemic, Distance Learning, Inquiry Learning, Phenomenology, WhatsApp
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2021 -- Vol. 99. No. 09 -- 2021
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Title:	DEVELOPMENT OF A SYSTEM FOR POSITIONING THE WORK OF GATHERING CRANES ON CONTAINER SPACES OF FREIGHT STATIONS
Author:	ONGDABEK RABAT , ELMIRA ZHATKANBAEVA1, ALINA SALMANOVA , SERGEI LEE , DINARA AGABEKOVA, DANA ALIAKBARKYZY, NAZYM SAYDINBAEVA, GULNARA TAITIKENOVA, DAMIR ABSAMETOV
Abstract:	The paper presents a system developed by the authors for positioning the work of gantry cranes on container sites of freight stations. The preliminary design of the device for reading information about the coordinates of the crane was developed on the basis of the copyright certificate (No. 1796681 "Device for reading information about the coordinates of the crane" dated 02.23.1993. Lee S.V. et al. Bull. No. 7). The design of the reader is an integral part of the control equipment of the crane positioning system. This project is part of an automated container cargo management system. The article substantiates the choice of the type of sensors and the principle of reading the coordinates of the gantry crane. The proposed crane positioning system consists of addressable elements and a system of reading elements. It implements the code principle for reading container positions. Address elements are delta planks. In accordance with the position code, metal screens are fixed on them, the size of which is determined by the type of sensors selected and their characteristics. The reading element system is a series of proximity sensors. The sensors are mounted on a special pinch device, which provides the necessary clearance between the sensors and code plates. The signal reception and processing unit remembers the code of the positions coming from the sensors and stores information until the next signal arrives. The position code is displayed on the on-board computer screen of the crane operator. The developed crane positioning system improves the accuracy of determining the position of the crane and simplifies information processing equipment. The positioning system of the crane can significantly increase the efficiency of cranes in handling containers and other cargo. In addition, the fatigue of the crane driver is reduced and his labor productivity is increased. Using the crane positioning system developed by the authors will undoubtedly give a great economic effect. The efficiency of cranes for reloading containers is provided by accelerating the search for containers loaded directly into the car, improving the quality of accounting. All this ultimately provides the ability to transport additional goods with an existing fleet of containers. In conclusion, the paper gives an analysis of the selected design of a crane positioning system.
Keywords:	Gantry Crane, Container, Positioning System, Overload Efficiency, Performance, Address Elements, Proximity Sensor, Pinch Device.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2021 -- Vol. 99. No. 09 -- 2021
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Title:	AUTOMATIC OFFENSIVE LANGUAGE DETECTION IN ONLINE USER GENERATED CONTENTS
Author:	AIGERIM TOKTAROVA, GULBAKHRAM BEISSENOVA, MARAT NURTAS, PERNEKUL KOZHABEKOVA, ZHANAR AZHIBEKOVA, ZLIKHA MAKHANOVA, BIBIGUL TULEGENOVA, NAZIRA RAKHYMBEK, ZHARASBEK BAISHEMIROV
Abstract:	Profanity on the pages of social networking networks is growing the number of problems social networking has. Easy and automated steps are necessary to control the amount of content that is generated on a daily basis. There is a significant research question concerning language instruction rather than the implementation methods. We are creating a dataset of internet users in Kazakhstan where they use social networks and the media to share their opinions. According to this report, it is the first time anybody has ever done a study focused on complaints from multiple social networks. We have classified our index in a variety of respects, one of which is to use derogatory terms. Furthermore, our results will not only explore the roots of offensive language, but will also present concepts that help in differentiating such types of offensive language, such as offensive language and cyberbullying. We use machine learning approaches to access the data sets we can use for the automated study of offensive language on social media. The results show that recognizing offensive language on social networks is a task that can be solved automatically and produces excellent results.
Keywords:	Offensive language, Hate Speech, Machine Learning, Detection, Classification, Natural Language Processing, Social Networks, Social Media.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2021 -- Vol. 99. No. 09 -- 2021
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Title:	GOVERNMENT POLICY AND COVID-19: INSIGHT AND GENERAL PUBLIC ATTITUDE IN SOCIAL MEDIA
Author:	LA MANI, IRMAWAN RAHYADI, MUHAMMAD ARAS
Abstract:	This study aims to understand public tendencies in response to the Covid-19 policy obtained from social media in Indonesia. This research used descriptive quantitative methodology. It involved 580 respondents recruited using quota sampling technique. Research data was collected by using a questionnaire which was shared via social media platforms (Facebook, WhatsApp, and Instagram). Then, the data was analyzed using frequency distribution, where the respondents’ answers were grouped into separated categories to show patterns. Generally, public saw construction on Covid-19 as a virus which spreads rapidly, and a virus that comes from Wuhan-China. Therefore, public cognitively perceived Covid-19 as a scary virus causing acute diseases. There is also an element of social cognition that has opened a potential space for public to disobey government policies. In relation to affection, public looked down on people who disobey the government policies on Covid-19. Thus, this fact made public function as information channel, persuasion agent, and coercion to others especially to their family members. While public showed knowledge, affection, and behavior supporting government policies on Covid 19, many people disobeyed the policies. The disobedience does not necessarily indicate that people are not aware of the government policies on Covid-19. Yet, the main reason for the disobedience is economic factors. If they stay home, they will lose their income.
Keywords:	Attitude tendencies, public, policy, social media, Covid-19
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2021 -- Vol. 99. No. 09 -- 2021
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Title:	INNOVATIONATTITUDE CONTROL OF A HEXACOPTER PLATFORM BASED ON FRACTIONAL CONTROL LAWS AND COMPARISON WITH THE PID AND LQR CONTROL METHODS
Author:	SAAD ENNIMA , SALMANE BOUREKKADI, ASMAE OURDI , ABDELLAH ELGHARAD
Abstract:	The objective of this research study based on numerical results is to validate the feasibility and effectiveness of a new method for controlling Hexacopter type UAVs, which belong to the family of multirotor established on laws fractional control (FOC) and to establish a comparison between three types of controllers used to control the attitude of a UAV under different conditions, known as the Hexacopter platform, which is part of the multi-rotor UAV family. The three types of controllers considered in this work are a conventional linear-quadratic LQR controller, the proportional-integral-derivative PID method and a controller based on fractional control laws. The control method asserts advantages regarding of response time and stabilisation at the desired altitude and attitude. This control is intended to be used to control and maintain the desired trajectory during several manoeuvres while minimising energy consumption. The system's performance and stability are analysed with several tests, from simple hovering flight. This new solution applied to multi-rotor UAVs will totally revolutionise this technology in terms of stability and solve the problem for many industries. All the simulations discussed in this article were performed in the MATLAB/Simulink environment.
Keywords:	UAV, Hexacopter, Fractional control, LQR, PID
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2021 -- Vol. 99. No. 09 -- 2021
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Title:	IMPROVING REGRESSION TESTING QUERY REPLYING PROCEDURE USING SECURE OPTIMIZED GRAPH WALK SCHEME
Author:	U.SIVAJI , Dr. P. SRINIVASA RAO
Abstract:	Day by day the creation of software and application is growing rapidly, so that testing the software’s or codes for its faults are the key paradigm in digital field. However, testing the software is not at all an easy role, the huge size of data made execution difficulties. To overcome these issues, the current article aimed to develop a novel Optimized Hash Graph walk Ant Lion Replica (OHGW-ALR) to schedule the test cases based on priority manner. Moreover, while arranging the test cases in priority based it minimize the usage of resource and processing time. Moreover, the presence fitness process of Ant lion model in graph walk scheme has improved the fault prediction performance. Finally, the proficient rate of the developed replica is verified by comparing the key metrics with other associated works. In that the developed OHGW-ALR has gained better exact rate of fault predict.
Keywords:	Regression Test, Fault Detection, Flaw Mitigation, Test Case, Priority Based Scheduling
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2021 -- Vol. 99. No. 09 -- 2021
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Title:	A COMPARATIVE STUDY FOR THE WORM WHOLE ATTACK EFFECT ON MANET
Author:	MAHA ABDELHAQ, RAED ALSAQOUR, FAY ALSUBAIE, GHADA ALESSA, LUJAIN ALGHAMDI, HANA ALTUKHAIM, LAMA ALSHAMMARI, ALAA ALSALEEM
Abstract:	Mobile Ad hoc network (MANET) is a wireless network that has the ability to reconfigure itself without any centralized infrastructure. This type of network is not in a fixed composition and form, but instead, it forms itself and allows for other nodes to join in automatically. Since it has a flexible and dynamic nature, that makes it vulnerable to attacks which could be attached to the network very easily. As a result, the attacker would later serve as a sender or receiver for faked packets. One of the most dangerous attacks of this network is wormhole attack. With wormhole attack, packets of data are transferred from one node to another harmful node inside or outside the network. Therefore, we aim in this paper to study the effect of a wormhole attack on two routing protocols, namely Ad hoc On-Demand Distance Vector (AODV) and Dynamic Source Routing (DSR). The comparison will be held in terms of two main network performance metrics: throughput and end-to-end delay. Network Simulator-2 (NS-2) will be used to conduct the simulation experiments in this paper and calculate the results. This research gives a new contribution to the area of network attacks. It provides a new Worm Hole Attack Model (WHAM), which will be applied to MANET routing using NS-2 WHAM has been applied to the protocols mentioned above to test their resistance and stability under the attack.
Keywords:	Mobile ad hoc network; Routing Protocols; AODV; DSR; Wormhole Attack
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2021 -- Vol. 99. No. 09 -- 2021
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Title:	ANALYSIS OF ASYMMETRIC COPLANAR WAVEGUIDE WITH FINITE-EXTENT GROUND AND FINITE GROUND BACKING
Author:	ASEM S. AL-ZOUBI
Abstract:	Quasi-static characteristics of the asymmetric coplanar waveguide (CPW) with finite-extent ground and finite ground backing are studied using the conformal mapping method (CMM); closed form expressions for the effective relative permittivity and the characteristic impedance are derived. Various structures can be analyzed from the original structure. The effect of various parameters are studied using the expressions obtained. In addition, the structure is analyzed using finite difference method (FDM). The results obtained using CMM are compared to previous work, FDM and commercial software and have good agreement.
Keywords:	Coplanar Waveguide, Asymmetric Coplanar Waveguide, Conformal Mapping Method, Finite Difference Method , Finite-Extent Ground, Finite Ground Backing.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2021 -- Vol. 99. No. 09 -- 2021
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Title:	MODEL, DATA INTEGRATION ALGORITHMS OF INFORMATION SYSTEMS BASED ON ONTOLOGY
Author:	RAISSA USKENBAYEVA, TOLGANAY CHINIBAYEVA
Abstract:	Today is difficult to imagine without integrated automated information systems (IAIS) that support various business processes. Obtaining aggregated information for the purpose of making management decisions depends on the effective interaction of information systems (IS) included in the structure of the IAIS. Business processes are often automated using software solutions of its own and third-party developers, regardless of their interconnectedness, which is especially true for universities. With constant changes in these business processes, IAIS developers are forced to adjust programs and data models, which leads to structural and semantic heterogeneity of information elements and, accordingly, the need to re-develop software data converters. The use of such solutions leads to complication and, consequently, a decrease in the reliability of the IAIS. This article continues the series of publications [25-27], which includes the problem of building integrated automated information systems that support various business processes based on ontologies. The purpose of the article is to develop a mathematical model, algorithm and software system for integrating IS data based on the application of the ontological approach. To achieve this goal, the following tasks were set. 1. Build a mathematical model of data integration of information systems with heterogeneous ontological specifications. 2. To develop a computational method for evaluating the semantic proximity of concepts (elements) of heterogeneous ontologies.
Keywords:	Ontology description languages, data integration algorithms, genetic operator, lexical proximity, heterogeneous information systems.
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2021 -- Vol. 99. No. 09 -- 2021
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Title:	FRAMEWORK TO SECURE THE OAUTH 2.0 AND JSON WEB TOKEN FOR REST API
Author:	EHAB RUSHDY, WALID KHEDR, NIHAL SALAH
Abstract:	The Open Authorization (OAuth 2.0) specification defines a delegation protocol that is helpful for conveying authorization decisions (via a token) across a network of web applications and APIs. OAuth 2.0 achieves this with the help of valid tokens issued by an authorization server which enables access to protected resources. For Achieving statelessness, access tokens in OAuth needs that resource server request to authorization server to get the user details related to the token and whether the token is valid or not for it each client request. OAuth 2.0 allows safe transfer of bearer tokens, but doesn’t validate the processing party. If a token endpoint is wrong then entire system security is in danger. JSON Web Token (JWT) is an open standard that defines a compact and self-contained way for transmitting data between various parties by encoding them as JSON objects which can be digitally signed or encrypted. This research proposes an approach that combines OAuth 2.0 with JWT in REST API to allow the resource server to validate the OAuth access token locally and only needs an interaction with the Authorization server to get a new OAuth access token. This combination reduces the interaction with the Auth server that yields the performance improvements. JWT has several options for using algorithms namely a symmetric algorithm HS256 (HMAC with SHA-256) and an asymmetric algorithm RS256 (RSA Signature with SHA-256). Testing the most different cryptographic algorithms used to construct JWT for signing token are done based on the speed of generating tokens, the size of tokens, time data transfer tokens and security of tokens against attacks. The experimental results show the use of The HS256 has good result compare to using RS256 for framework of evaluation the performance of proposed algorithms in terms of generating tokens, the size of tokens and time data transfer tokens. In order to prove that proposed scheme can avoid phishing attacks especially user credentials by taking two-factor authentication service which makes user can guarantee the authenticity of client.
Keywords:	Authentication, Authorization, OAuth 2.0, JWT, Security
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2021 -- Vol. 99. No. 09 -- 2021
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Title:	UNIQUE APPROACH FOR CRICKET MATCH OUTCOME PREDICTION USING XGBOOST ALGORITHMS
Author:	NIMMI WEERADDANA , SAMINDA PREMARATNE
Abstract:	Context. Cricket is among the top five rated sports in the world based on a set of ranking criteria. It is highly popular in Asia, Australia, the United Kingdom, and many other countries. Several attempts have been made in prior research to predict the cricket match outcomes based on the current status of the match. Goal. Importance. Insights to a cricket match such as what is the winning probability given the current status of the match? What could be the predicted score at the end of the next over? Who is the best batsman to join the game after a wicket? Who is the best bowler to break a partnership? When can another wicket is likely to occur in the future? are important to many stakeholders. These insights could be used by interested stakeholders such as team leads, coaches, sports professionals, etc. Novelty. In this research, we present a novel approach to predict the winning team (winning probability) and score at the end of the next over using boosting algorithms. Results. Our results yield 84.4 of accuracy for winning team classification and 1.41 of mean squared error for the score prediction. Besides, our results outperform the traditional data mining approaches. Scope. We limit our research only to the Cricket matches between Sri Lanka and India to reduce the complexity of the scope of the problem. Conclusion. We believe the research questions addressed through this research paper are useful to real-time analysis and decision making.
Keywords:	Data mining, XGBoost, Classification, Dummy variables, Regression
Source:	Journal of Theoretical and Applied Information Technology 15^th May 2021 -- Vol. 99. No. 09 -- 2021
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