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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
April 2021 | Vol. 99 No.07

Title:	PRELIMINARY INSIGHTS INTO CYBERSLACKING IMPACT ON GRADUATE STUDENTS ACADEMIC PERFORMANCE: A CASE STUDY OF A BUSINESS SCHOOL IN GHANA
Author:	ACHEAMPONG OWUSU, EDITH MAWULI AFI BLEBOO, IVY HAWAH TAANA
Abstract:	The main objective of the study was to examine the impact of cyberslacking on graduate students’ academic performance at a Business School in Ghana. The study was descriptive and was purely quantitative. The target population of this study comprised all graduate students at the School. Out of the entire population, three hundred (300) students were sampled for the study through convenience sampling. Questionnaires were used as the data collection tool. Findings from the analysis indicate that Cyberslacking correlates with students’ academic performance. Students who are addicted to cyberslacking have difficulties in paying attention in class in comparison to those who do not cyberslack. The study, therefore, concludes that though cyberslacking has a negative effect on the attention of graduate students in the lecture room, it could not find a significant relationship between cyberslacking and academic performance. It is however recommended that instructors should integrate technology procedures in their curricula, explain their motivations, and enforce them. Also, the management of universities should ensure graduate students are mindful of their multitasking limits and cyberslacking’s negative effect on learning. Although cyberslacking negatively influences attention and even student learning, several college students underrate this concern because they overrate their capacity to multitask.
Keywords:	Cyberslacking, Graduate Students, Academic Performance, Business School, Ghana
Source:	Journal of Theoretical and Applied Information Technology 15^th April 2021 -- Vol. 99. No. 07 -- 2021
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Title:	HILL-CLIMBING POWERED GATED RECURRENT UNIT NETWORK TO PREDICT STOCK TRADING SIGNALS USING MEAN AVERAGE CONVERGENCE DIVERGENCE INDICATOR
Author:	ARJUN SINGH SAUD, SUBARNA SHAKYA, ASHISH GHOSH
Abstract:	This paper proposed a hill-climbing powered gated recurrent unit (HC-GRU) network to predict stock trading signals using the mean average convergence divergence (MACD) indicator. The proposed model was compared with the Buy/Hold Strategy, a benchmark strategy, and the traditional MACD indicator based trading strategy. All three models were evaluated in terms of the annualized rate of return, sharp ratio, and the number of profit/loss trades executed by the strategies. The experiments were conducted on twenty randomly selected stocks from the Bombay Stock Exchange, Nepal Stock Exchange, New York Stock Exchange, and the Shanghai Stock Exchange. From the experimental results, we observed that the HC-GRU outperformed the other two models in terms of all three measures. ARR obtained from HC-GRU strategy was 22.44% to 62.76% higher than the ARR obtained from the traditional MACD indicator based trading strategy and it was 14.69% to 71.72% higher than the Buy/Hold strategy. On the other side, 66.67% to 100% trades made by the HC-GRU strategy were profit trades but only 27.78% to 62.5% trades executed by the traditional MACD indicator based trading strategy were profit trades. From this observation, we concluded that the proposed HC-GRU approach is a superior strategy for automated stock trading whereas the traditional MACD indicator based strategy is not suitable for automated stock trading.
Keywords:	Stock Trading, Trading Signals, Gated Recurrent Unit, Hill Climbing, Mean Average Convergence Divergence
Source:	Journal of Theoretical and Applied Information Technology 15^th April 2021 -- Vol. 99. No. 07 -- 2021
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Title:	NEW FAST MODULAR MULTIPLICATION ALGORITHM APPLIED TO RING-LWE SCHEME
Author:	FIRST AUTHOR El HASSANE LAAJI, , ABDELMALEK AZIZI, TAOUFIK SERRAJ
Abstract:	The post-quantum cryptosystem schemes based on Ring-LWE (Ring Learning With Error) problem are among important candidates submitted to the NIST post-quantum cryptosystem standardization project. The majority of them use one or more algorithms for speeding-up the polynomials multiplication in the cryptographic process, like the Number Theoretic Transform algorithm (NTT), the Montgomery algorithm, the Karasuba algorithm, etc. We contribute herein, by creating a new Fast Modular Multiplication algorithm (FMMA), which is a variant of the Montgomery algorithm, and we created an improved post-quantum key exchange release based on Ring-LWE problem called "RingLWE_FMMA", by using our FMMA algorithm combined with the NTT algorithm. Our algorithm is tailored specially for the Fermat prime numbers and all the numbers of the form q = 2^k + 1. In this work, we considered the post-quantum key exchange "NewHope" based on Ring-LWE problem, as a study case, which uses the NTT algorithm combined with the Montgomery algorithm. . After a benchmarking, we obtained a good result; our RingLWE_FMMA release is faster than NewHope by a rate of up to 35%, and our FMMA is faster than the Montgomery algorithm by a factor of up to (X2) two times.
Keywords:	Quantum cryptography, Modular Multiplication, Montgomery, Ring-LWE, NTT, KEM.
Source:	Journal of Theoretical and Applied Information Technology 15^th April 2021 -- Vol. 99. No. 07 -- 2021
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Title:	A MODIFIED OF TAM AND TTF INTEGRATION TO ANALYZE THE EFFECT OF ERP IMPLEMENTATION ON EMPLOYEE PERFORMANCE
Author:	R. WAHJOE WITJAKSONO, AGUS SIHABUDDIN, AZHARI AZHARI
Abstract:	Enterprise Resource Planning (ERP) solutions have been implemented in most companies globally, including in Indonesia, because this system has a significant impact on the efficiency, effectiveness of business processes, and improved employee performance. State-owned enterprises in Indonesia have also implemented ERP to enhance employee performance. This study aims to prove that the ERP system can improve employee performance by identifying and testing the most critical factors that influence ERP implementation on employee performance in state-owned enterprises in the manufacturing sector in Indonesia. This study uses a modified model that integrates the Technology Acceptance Model (TAM) and the Task Technology Fit (TTF) model adapted to ERP implementation problems. The integration of the two models is carried out because the two models cover two different aspects; TAM focuses more on the technology used rather than the technology's ability to support users in carrying out tasks focused on the TTF model. The model was tested using data collected by distributing questionnaires to ERP users in State-Owned Enterprises. Hypotheses were tested and analyzed using the Partial Least Square(PLS) with the help of SmartPLS 3.0 software. This research's contribution is that the integration model can combine the strengths of the TAM and TTF models to see the performance of employees of State-Owned Enterprises in Indonesia. The results showed that 8 (eight) hypotheses were accepted, and 1 (one) hypothesis was rejected. Finally, these findings can help encourage ERP implementation in other companies in the future because the results of implementing ERP are proven to improve employee performance.
Keywords:	Technology Acceptance Model, Task Technology Fit, Implementation, Enterprise Resource Planning, PLS
Source:	Journal of Theoretical and Applied Information Technology 15^th April 2021 -- Vol. 99. No. 07 -- 2021
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Title:	WEIGHTED ENSEMBLE BASED EXTRA TREE FOR PERMISSION ANALYSIS FOR ANDROID APPLICATIONS CLASSIFICATION
Author:	HOWIDA ABUBAKER, AIDA ALI, SITI MARIYAM SHAMSUDDIN
Abstract:	Selecting optimal features for classification task is one of the essential problems in machine learning field. Feature Selection is one of the most extensively studied methods for dimensionality reduction. The feature selection method preserves a subset of the existing features and discards the rest during the (supervised or unsupervised) learning process. However, representing features plays important role in obtaining the highly discriminant features that contribute in enhancing the classifier performance. Therefore, the aim of this paper is to propose a framework based on ensemble extra tree algorithm to assign weight to features that have high influence in classifying android apps to malware or non-malware with lower computational cost overhead. The presented framework is evaluated by using different machine learning classifiers to examine the permissions features of two datasets in terms of their representation as binary vector or weight vector in enhancing the classification performance. The experimental results show that the presented model based on features weighting approach improved the classification performance.
Keywords:	Weighting Permission-based Analysis, Ensemble Extra Tree, Machine Learning, Malware Android Classification
Source:	Journal of Theoretical and Applied Information Technology 15^th April 2021 -- Vol. 99. No. 07 -- 2021
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Title:	THE ROLE OF WHATSAPP APPLICATION IN ENCOURAGING STUDENTS’ SELF-EFFICACY OF USING BLACKBOARD SYSTEM: AN EXPLORATIVE INTERVIEW STUDY
Author:	AYMAN N. ALKHALDI, MOUEZ ALI, SHAWKY MOHAMED MAHMOUD, ZEYAD A. ALREFAI
Abstract:	This study aims to examine how students' social media use can play a role in encouraging their self-efficacy of using the blackboard system for learning purposes, considering their experience of using the blackboard system. This study argues that the mentioned positive role of social media in teaching and learning emerged as a govern social media platform for students. This avoids the negative effect of social media on them and provides a social media platform for assisting and guiding students. A qualitative method approach was used, using interviews conducted with 36 students. The semi-structured interviews were analyzed following the thematic content analysis method. The interviews were targeted at obtaining University of Ha'il students' opinions to confirm the challenges facing them concerning the usage of the Blackboard system. The findings show that most of the participants had positive beliefs toward the implementation of WhatsApp with Blackboard. Especially those students with little experience using the Blackboard system can improve their communication experience. We recommend future studies, finding theories to integrate the uses of social media in the education process. Next, researchers should also develop how WhatsApp can improve learning using Blackboard, especially for students with modest skills.
Keywords:	E-learning, Social Media, Self-efficacy, Blackboard
Source:	Journal of Theoretical and Applied Information Technology 15^th April 2021 -- Vol. 99. No. 07 -- 2021
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Title:	CULTURAL DIPLOMACY IN MODERN INTERNATIONAL RELATIONS: THE INFLUENCE OF DIGITALIZATION
Author:	TATYANA GUMENYUK, MARYNA FROTVEIT, IHOR BONDAR1, YURII HORBAN, OLENA KARAKOZ
Abstract:	The digitalization of modern society makes its adjustments to absolutely all business processes. Cultural diplomacy today plays an essential role in the implementation of foreign policy. In practice, this can not only serve as a useful tool for the realization of state interests abroad in the field of cultural policy but can also contribute to the creation of favourable conditions for the significant achievement of foreign policy goals of the state in other areas (for example, the economic field). Cultural diplomacy can become a more valuable tool for the state in the future and a more significant component of public diplomacy implementation. It helps the government influence foreign audiences in the long run as a good reserve to gain support for its policies. There are several tools that the state uses to implement cultural diplomacy, through which it maintains contact with foreign audiences and tries to teach its social norms in other cultures. The development of information technology and global digitalization, when cultural innovations become impossible without information and info-communication support, pushes the process of cultural diplomacy, automating the performance of functions and related operations. In the article, the authors examined the definition of the term "cultural diplomacy", analyzed the dynamics of its development and conceptual apparatus, as well as the impact of digitalization on the processes of cultural diplomacy. In their study, the authors revealed that digital technologies are becoming more and more critical for diplomatic processes. Still, Ukraine is not yet using them enough, as well as its huge potential of culture and art to form an attractive image of the state. Therefore, the authors were offered a set of useful cultural diplomacy tools for building and strengthening modern international relations.
Keywords:	cultural diplomacy, digitalization, information openness, international relations, soft power
Source:	Journal of Theoretical and Applied Information Technology 15^th April 2021 -- Vol. 99. No. 07 -- 2021
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Title:	IMPLEMENTATION OF TEXT DATA SECURITY USING MODULAR MULTIPLICATION BASED BLOCK CIPHER MODIFICATION
Author:	H KHAIR, MARISCHA ELVENY , A M H PARDEDE, S RAMADANI, ACHMAD FAUZI
Abstract:	One implementation of the use of Information and Communication Technology (ICT) via the internet is sending text messages via email, social media, or other means of communication. Nearly all messages sent privately over a private network are secret messages that you don't want to share with other people, be they text messages, voice messages, picture messages, and video messages. But in reality, confidential information is often leaked so that confidential information can be spread to various irresponsible parties. The efforts made by these parties are aimed at misusing the data sent by destroying, intercepting, changing the original message according to the wishes of other parties for their own interests. This action can make confidential information or messages visible to people who are not responsible. In overcoming this data security issue, steps are needed to improve data security. One technique that can be used to secure data is to use the Modular Multiplication based Block Chipper (MMB) algorithm, which is a simple method that is not too complicated but is hidden so that the message to be sent is safe. In this research, we propose an algorithm that simplifies the use of MMB by directly multiplying each plaintext to the key, and changing the constant C using RoL so that the binary in constant C is doubled. The results of the implementation of this study concluded that the encryption of the original message would be longer, and it would be more difficult for other parties to crack.
Keywords:	Cryptography, MMB, Security, Text.
Source:	Journal of Theoretical and Applied Information Technology 15^th April 2021 -- Vol. 99. No. 07 -- 2021
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Title:	FAKE NEWS DETECTION MODEL BASED ON CREDIBILITY MEASUREMENT FOR INDONESIAN ONLINE NEWS
Author:	RAKHMAT ARIANTO, SPITS WARNARS HARCO LESLIE, YAYA HERYADI, EDI ABDURACHMAN
Abstract:	The spread of fake news is a problem faced by all active internet users, especially in Indonesian society. Fake news can have an impact on readers' misperceptions, causing harm to certain individuals or groups so that the Indonesian government issued Law number 19 of 2016 which serves to protect internet users from misinformation from fake news. The research that has been done in detecting fake news in Indonesian is still very much dependent on the results of detection from third parties and the Indonesian government in determining whether a news title is included in fake news or not, but if no similarity is found it will be considered as factual news so that this research proposes a fake news detection model based on the level of credibility of online news headlines. This model has 5 stages, namely: Scrapping Web, Document Similarity, Online News Search, Online News Scoring, and Classification. This research has also tested the use of the K-Means, Support Vector Machine with various kernel, and Multilayer Perceptron methods to obtain optimal classification. The results showed that at the Document Similarity stage an optimal threshold value is needed at 0.6, while the Classification stage determines that the most effective method on the data used is the Multilayer Perceptron with the provisions of Hidden Layer 30,20,10 so that you get a mean accuracy of 0.6 and accuracy maximum of 0.8.
Keywords:	Fake News Detection, Online News, Credibility, Text Mining, Classification
Source:	Journal of Theoretical and Applied Information Technology 15^th April 2021 -- Vol. 99. No. 07 -- 2021
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Title:	PERFORMANCE EVALUATION OF RANDOM ACCESS METHODS FOR WIRELESS SYSTEMS
Author:	SARA RIAHI , AZZEDDINE RIAHI
Abstract:	This paper falls within the scope of the ever increasing demand on the spectrum of frequencies, as much for the wireless telephony as for the networks. This demand will continue to grow and it is therefore increasingly important to find new methods to improve the efficiency of use of the frequency spectrum. There is a great deal of research being done to try to find solutions and new approaches. The GSM mobile radio system is now known to the general public throughout the European continent and is a world-wide reference point both in terms of concepts and vocabulary. Although evolutionary, the GSM relies on a relatively rigid TDMA multiplexing technique. The flow rates are limited. The GPRS, General Packet Radio Service, will improve the achieved bit rates but the rise of multimedia services requires more and more high bit rates, in the order of several hundred kbps.
Keywords:	Access methods, OFDMA, CDMA, TDMA, FDMA, CSMA, ALOHA.
Source:	Journal of Theoretical and Applied Information Technology 15^th April 2021 -- Vol. 99. No. 07 -- 2021
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Title:	DUAL DESIGNATED PATH ROUTING ALGORITHM FOR CONGESTION CONTROL IN HIGH-DENSITY NETWORK
Author:	AMIERUL SYAZRUL AZMAN, SIVA KUMAR SUBRAMANIAM, MOHAMAD YUSRY LEE, FARAH SHAHNAZ FEROZ
Abstract:	Wireless sensor networks (WSNs) offer promising and flexible solutions in a wide range of industrial applications, particularly in the oil and gas downstream pipeline. Such an application requires wide communication coverage due to the large dissemination of pipelines in the downstream sector and to fit this requirement, the nodes have to be arranged in a grid formation. Performance evaluation has been carried out using reactive (e.g., AODV) and proactive (e.g., OLSR) routing protocol during the early of the study. Several issues have been discovered as the network size increases, mainly due to the increased loads, which occupy the queue and congest the network traffic. These issues include packet loss, throughput degradation, energy wastage, and poor fair share of network resources. The OEG reactive routing algorithm is proposed to lessen the routing instabilities by reducing the control packets and promoting smoother packets flow through the traffic division into odd-path and even-path with the consideration of x and y-axis. The proposed routing algorithm was then compared to AODV and OLSR routing algorithm in terms of network performance. The proposed routing algorithm has shown notable improvements on the delivery ratio (28.4% more), throughput (13.6 kbps more), fairness index (0.02 more), passive nodes' presence (37.9% less), and energy consumption (0.76 J less) when solely compared to AODV on the highest network density.
Keywords:	Routing Algorithm, Wireless Sensor Network, WSN, Oil and Gas, Grid, Pipeline
Source:	Journal of Theoretical and Applied Information Technology 15^th April 2021 -- Vol. 99. No. 07 -- 2021
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Title:	EVALUATION OF E-WALLET USAGE ON RETAIL BUSINESS IN INDONESIA
Author:	JAROT S. SUROSO, ILHAM AL FAJRI
Abstract:	E-wallets are now widely used as a substitute for physical money (paper money) which can be used in offline and online transactions. This is also in line with government policy regarding the National Non-Cash Movement (GNNT) which aims to form a society that uses more non-cash instruments (Less Cash Society / LCS) in transactions. Based on the monitoring of transactions with online business platforms, currently e-wallets are automatically used, but for offline transactions, especially in the retail business, it has not been seen that they have made maximum use of e-wallets. Even though e-wallet service providers have implemented many retail business owners in Indonesia. The fundamental thing that determines the success of an applied system is the frequency of system use. This study aims to find significant variables in the use of e-wallets in the retail business in the UTAUT model and add four variables, namely perceived value, perceived trust, perceived risk and promotional benefits. The research was conducted in a quantitative way, distributing questionnaires online as many as 35 questions, and analyzing demographic data using IBM SPSS 25 and PLS-SEM analysis with SmartPLS 3.2.8. The result, of the eight proposed hypotheses, four hypotheses were declared insignificant and rejected because the path coefficient and t-test values of these hypotheses were less than 0.1 and 1.96, while the other three hypotheses were declared significant and accepted.
Keywords:	Evaluation, E-wallet, Retail Business, UTAUT Model, PLS-SEM,
Source:	Journal of Theoretical and Applied Information Technology 15^th April 2021 -- Vol. 99. No. 07 -- 2021
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Title:	CRM STRATEGY FOR E-COMMERCE BASED ON CUSTOMER PAYMENT TYPE
Author:	BUDHI SETYAWAN , SFENRIANTO , RENDY EKA PRATAM
Abstract:	An e-Commerce that uses CRM is a strategy to increase customer loyalty. Although it is a widely used strategy, a CRM strategy that utilizes customer payment types has not been implemented in serving e-Commerce needs. This study aims to propose a strategy to support CRM e-commerce. The CRM strategy consists of three main stages, namely: the first stage as the Payment Data Strategy, the second stage as the RFM Strategy, and the third stage as the CRM Strategy. The payment method of customer data on e-Commerce www.alfacart.com has been analyzed to implement the strategy. This research has strong implications because it produces 27 the type of payment as a basis for Customer Payment Segmentation, and Customer Loyalty in providing support to CRM strategies in e-Commerce for customer loyalty needs.
Keywords:	E-Commerce, CRM Strategy, Payment Type, CRM, Framework, Loyalty Customer.
Source:	Journal of Theoretical and Applied Information Technology 15^th April 2021 -- Vol. 99. No. 07 -- 2021
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Title:	IDENTIFYING INFLUENTIAL SPREADERS IN COMPLEX NETWORKS BY WEIGHTED VOTE RANKING AND HYBRID METHODS
Author:	RAAMAKIRTINAN S, JENILA LIVINGSTON L M
Abstract:	Identifying influential users in complex networks has become the need of the hour in digital era and it has emerged as an important and interesting research topic. There are many methods like centrality measure, page rank, k-shell etc., to rank influential users, but each has its own shortfalls. In this paper we propose weighted vote ranking method and a hybrid ranking method as an extension of weighted vote ranking Method. The spreading ability of a node in a network mainly depend upon three key factors such as the support (vote) that it receives from neighbor nodes, the relationship strength (weight) and the nodes position in the network (coreness). So, to identify potential super spreaders we propose weighted vote ranking (WVR) method with all these three metrics such as vote, weight and coreness with a dynamic weight parameter control. Also, to improvise further we extended this proposed method by combining with weighted mixed degree decomposition (WMDD) method which has ability to consider removed and remaining nodes in decomposition technique. This hybrid method is obtained by combining these WVR and WMDD methods in 70:30 ratio which gives better results, compared to other ratio combinations. To study the spreading dynamics, Susceptible Infected Recovered (SIR) epidemic model is used. The average Kendall Tau of proposed weighted vote ranking and hybrid methods across various networks taken for experiment is 0.86 and 0.83 respectively whereas the highest average Tau from other methods is 0.79 (1 is maximum Tau value). Also, when we compared the average infection scale with other methods that is taken for experiment, we get 5.1%-14.5% higher infection scale for weighted vote ranking method and 8.8%-18.2% higher infection scale for hybrid method. Similar various other experiments like varying number of seed nodes and infection probability also show that proposed methods perform better when compared to recent other methods.
Keywords:	Complex Network, Influential Spreaders, Network Decomposition, Weighted Vote Rank, Information diffusion
Source:	Journal of Theoretical and Applied Information Technology 15^th April 2021 -- Vol. 99. No. 07 -- 2021
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Title:	WHALE OPTIMIZATION ALGORITHM APPLIED TO THE 0/1 KNAPSACK PROBLEM
Author:	RAJA MASADEH
Abstract:	This study investigated the 0/1 knapsack problem. A new technique is suggested to find the best solution that maximize the overall carried values without exceeding the capacity of the knapsack using whale optimization algorithm and clustering algorithm. The whale optimization algorithm is considered as one of the most recent metaheuristic optimization algorithms that mimics the hunting behavior of humpback whales. Moreover, it has an effective performance in solving engineering optimization problems and continuous problems. The evaluated performance is satisfying. The simulation results showed great compatibility between experimental and theoretical results.
Keywords:	0/1 Knapsack Problem, Metaheuristic, Optimization, Whale Optimization Algorithm.
Source:	Journal of Theoretical and Applied Information Technology 15^th April 2021 -- Vol. 99. No. 07 -- 2021
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Title:	ISOLATION OF CORONARY ARTERIES BASED ON ACTIVE CONTOUR AND REGION GROWING MODELS WITH AUTOMATED SEED SELECTION
Author:	SAMMER ZAI, MUHAMMAD AHSAN, MANSOOR AHMED CHANNA, ASAD ABBAS
Abstract:	Analysis and examination of huge volumetric data produced by CTA is a tedious and time-consuming task for radiologists when it comes to many patients. Therefore, computer-assisted diagnostic techniques are required to assist the clinical experts for the tracking of coronary arteries in volumetric datasets of heart in an automatic fashion. This paper aims to presents some of the most commonly used segmentation algorithms along with their pros and cons and their solution in the reported literature. This study specifically provides a study of four different techniques that are meant to segment the coronary arteries from volumetric datasets. The efficiency of all these methods has been validated on real clinical CTA datasets. Additionally, statistical comparison of these method is also provided with the help of performance measures including Precision, Recall, Jaccard Index (JI), and F-measure.
Keywords:	coronary arteries segmentation, active contour, computed tomography angiography, hessian-based vesselness.
Source:	Journal of Theoretical and Applied Information Technology 15^th April 2021 -- Vol. 99. No. 07 -- 2021
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Title:	NETWORK INTRUSIONS CLASSIFICATION USING DATA MINING APPROACHES
Author:	SLAMET, IZZELDIN IBRAHIM MOHAMED
Abstract:	Intrusion Detection System has an important task in detecting threats or attacks in the computer networks. Intrusion Detection System (IDS) is a network protection device used to identify and check data packets in network traffic. Snort is free software used to detect attacks and protect computer networks. Snort can only detect misuse attacks, whereas to detect anomaly attacks using Bayes Network, Naive Bayes, Random Tree, LMT and J-48 Classification Method. In this paper, the experimental study uses the KDDCUP 99 dataset and the dataset taken from Campus Network. The main objective of this research is to detect deceptive packets that pass computer network traffic. The steps taken in this study are data preparation, data cleaning, dataset classification, feature extraction, rules snort for detecting, and detecting packet as an attack or normal. The result of the proposed system is an accurate detection rate.
Keywords:	Classification, Intrusion, Snort, Anomaly, Misuse
Source:	Journal of Theoretical and Applied Information Technology 15^th April 2021 -- Vol. 99. No. 07 -- 2021
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Title:	DEVELOPMENT OF A REAL TIME HUMAN FACE RECOGNITION SOFTWARE SYSTEM
Author:	ASKAR BORANBAYEV, SEILKHAN BORANBAYEV, MUKHAMEDZHAN AMIRTAEV, MALIK BAIMUKHAMEDOV, ASKAR NURBEKOV
Abstract:	In this study, a system for real-time face recognition was built using the Open Face tools of the Open CV library. The article describes the methodology for creating the system and the results of its testing. The Open CV library has various modules that perform many tasks. In this paper, Open CV modules were used for face recognition in images and face identification in real time. In addition, the HOG method was used to detect a person by the front of his face. After performing the HOG method, 128 face measurements were obtained using the image encoding method. A convolutional neural network was then used to identify people's faces using the SVM linear classifier algorithm.
Keywords:	System, Recognition, Method, Algorithm, Neural Network.
Source:	Journal of Theoretical and Applied Information Technology 15^th April 2021 -- Vol. 99. No. 07 -- 2021
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