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arXiv 2025年

作者： Herbold, Steffen Knieke, Christoph Rausch, Andreas Schindler, Christian Faculty of Computer Science and Mathematics Universität Passau Passau Germany Institute for Software and Systems Engineering Technische Universität Clausthal Clausthal-Zellerfeld Germany

Formal analysis to ensure adherence of software to defined architectural constraints is not yet broadly used within software development, due to the effort involved in defining formal architecture models. Within this paper, we outline neural architecture inference to solve the problem of having a formal architecture definition for subsequent symbolic reasoning over these architectures, enabling neurosymbolic architectural reasoning. We discuss how this approach works in general and outline a research agenda based on six general research question that need to be addressed, to achieve this vision. © 2025, CC BY.

关键词： software design

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Multi-probes Fusion Framework for Matching Simultaneous Latent Impressions

Multi-probes Fusion Framework for Matching Simultaneous Late...

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7th International Conference for Internet Technology and Secured Transactions (ICITST)

作者： Yusof, Rozita Mohd Sulaiman, Norrozila Faculty of Computer Systems &amp'||' '||' Software Engineering Universiti Malaysia Pahang Malaysia

ISBN: (纸本)9781467353250;9781908320087

A multiple probes fusion framework is proposed in order to provide information at the match score level. This experiment tested 112 simultaneous latent fingerprints from IIITD SLF Database. The Gallery of Optical is used as references to the accuracy of matching latent fingerprint to optical fingerprint. Experimental results from the IIITD SLF database and optical fingerprint images indicate that the multi probe fusion can be decreased the number of False Reject Rate (FRR) and increased the score matched of simultaneous latent print that contains a multiple ridge impressions.

关键词： Latent fingerprint Simultaneous Latent Impression Multi probes

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IP SafeGuard - An AI-Driven Malicious IP Detection Framework

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IEEE Access 2025年 13卷 90249-90261页

作者： Siam, Abdullah Al Alazab, Moutaz Awajan, Albara Hasan, Md Rakibul Obeidat, Areej Faruqui, Nuruzzaman Daffodil International University Daffodil Smart City Birulia Department of Software Engineering Dhaka 1216 Bangladesh Oryx Universal College with Liverpool John Moores University School of Computing and Data Sciences Cybersecurity Department Doha 34110 Qatar Al-Balqa Applied University Faculty of Artificial Intelligence Department of Intelligent Systems Al-Salt 19385 Jordan Bangladesh University of Professionals (BUP) Department of Computer Science and Engineering Dhaka Bangladesh Amman Jordan

The rising frequency and sophistication of cyberattacks have made real-time malicious IP detection a critical challenge for modern Security Operations Center (SOC). Traditional solutions, such as static blacklists and manual IP reputation checks, are no longer sufficient in today's dynamic threat scenario. To overcome these constraints, we present IP SafeGuard, an AI-driven platform that incorporates multi-source threat intelligence, sophisticated feature engineering, and machine learning (ML)for real-time IP categorization. The framework collects data from AbuseIPDB, VirusTotal, and other sources to compute a Dynamic Threat Score (DTS) for each IP address. It leverages an XGBoost-based classification model to achieve high accuracy and low false-positive rates, even in skewed datasets. Experimental findings indicate the improved performance of IP SafeGuard, with an accuracy of 98.2%, a precision of 97.8%, and a recall of 98.5%. The average detection duration of 45 milliseconds makes it appropriate for real-time SOC integration, enabling automated incident response through Security Information and Event Management (SIEM) alerting and firewall blocking. The framework's modular design assures scalability and adaptability, making it a vital tool for high-volume situations. By overcoming the limits of old approaches and using the power of ML, IP SafeGuard considerably boosts the efficiency and efficacy of current cybersecurity systems. Future work involves expanding the system to enable new threat intelligence sources and studying federated learning for secure and privacy-preserving threat information exchange. © 2013 IEEE.

关键词： Artificial Intelligence Cyber attack Cyber defense Cyber Security IP Address SOC Threat Intelligence

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Lowest data replication storage of binary vote assignment data grid

Lowest data replication storage of binary vote assignment da...

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2nd International Conference on 'Networked Digital Technologies', NDT 2010

作者： Ahmad, Noraziah Fauzi, Ainul Azila Che Mohd. Sidek, Roslina Zin, Noriyani Mat Beg, Abul Hashem Faculty of Computer Systems and Software Engineering University Malaysia Pahang Malaysia

ISBN: (纸本)3642143059

Data replication is one of the mechanisms in data grid architecture since it improves data access and reliability. There are many replication techniques exist in distributed systems environment include Read-One-Write-All (ROWA), Branch Replication Scheme (BRS), Hierarchical Replication Scheme (HRS) and our previous Binary Vote Assignment Data Grid (BVADG) techniques. All these techniques deploy different approaches of data placement in distributed environment. This paper presents the comparison of the replication storage between all these techniques. The result shows that BVADG has the lowest data replication storage between ROWA, BRS and HRS due to the small quorum approach of data placement. © 2010 Springer-Verlag Berlin Heidelberg.

关键词： Hierarchical systems

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Investigation of security awareness on e-learning system among lecturers and students in Higher Education Institution 2

Investigation of security awareness on e-learning system amo...

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2nd International Conference on computer, Communications, and Control Technology, I4CT 2015

作者： Abdul Majid, Hasmanizam Abdul Majid, Mazlina Ibrahim, Mohd Izham Wan Manan, Wan Nurul Safawati Ramli, Muhammed Ramiza Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Malaysia

ISBN: (纸本)9781479979523

The advancement of computer and Internet technologies have brought teaching and learning activities to a new dimension. Learners were virtually moved out from their classrooms to a new learning environment where learning contents and materials were delivered electronically. This new environment, which is called e-learning environment uses the web and other Internet technologies to enhance teaching and learning experience. The success and failure of any e-learning system fall on how secure the system is. Security of an e-learning system is very important so that the information contained in the system is not compromised. However no matter how secure an e-learning system is the security threats always fall on human factor. Human is identified as the weakest link in information security and lack of security awareness such as password sharing will compromise the security of e-learning system. This paper studies the awareness level in information security among e-learning users, particularly students at Higher Education Institution. The study focuses on evaluating awareness level, perception and behavior of e-learning users from International Islamic University Malaysia. Results of this study helps the university authority in preparing effective and specific awareness program in e-learning security for their students. © 2015 IEEE.

关键词： Students

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A study on personality identification using game based theory

A study on personality identification using game based theor...

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2010 2nd International Conference on computer Technology and Development, ICCTD 2010

作者： Yaakub, C.Y. Sulaiman, N. Kim, C.W. Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Malaysia

ISBN: (纸本)9781424488438

Game Based Personality Profiling Application had been develop as an application to solve the problems faced by a counselor in capturing and determine personality. There are many types of personality model and theory such as Jung's Sixteen personality, Myers Briggs Types Indicators (MBTI), 5 Big factors, and Kathrine Benziger's Personality. This application uses MBTI based concept as a guideline to capture sixteen types of personality. The game genre is puzzle game, and it was developed using Netbeans tools and object-oriented technique. The client or the player will be tested by four mini games in this application so that the game Artifact Intelligent (AI) will capture the personality of the player. The system was tested using 50 samples which were chosen randomly and 77.5% of the results are based on engineering student. The result obtain was compared with the personality psychometric test paper based. © 2010 IEEE.

关键词： 5-big factors Game Based Theory Jung sixteen personality Kathrine Benziger personality Myers Briggs Indicator Myers Briggs types indicators Personality Identification artifact intelligent game behavioural sciences computing computer games game based theory learning (artificial intelligence) personality identification personality profiling application personality psychometric test personality type software agents

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An expert system for stress management

An expert system for stress management

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International Conference for Internet Technology and Secured Transactions, ICITST 2009

作者： Romli, Awanis Cha, Arnidcha Peri Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Malaysia

ISBN: (纸本)9781424456482

An Expert System for Stress Management (ESSM) is a system that mimics the role played by a psychologist or counselor of stress expert to provide a virtual consultancy. Counselor always uses these systems manually to determine level of stress and personality interest of individual. However, ESSM is aimed to change these two very different manual systems into computerized one, by extracting data from a career test and relates them together with stress test to determine and recommend best stress management for particular individual based on their activity interest. ESSM is applied through psychometric method where user is prompted to complete two set of questionnaire. ESSM combines stress test and personality test that is extracted from Holland's Self Directed Search Model (RIASEC), which is used as Career Test by career counselor/consultant. Extraction from Holland's Model is aimed to determine human's behavior and interests which existing websites only use stress test to determine stress disorder, and randomly recommend solutions for user, no matter what type of personality they are. ESSM contains recommendation based on interest activity by combining conclusion from both stress and personality test. Personality based on interest is extracted from RIASEC. The prototype of this system is rule-based expert system technique. The success of implementation and development of this project is expected to help in reducing time consumed and human power in determining best recommendation and solution for stress management. Copyright © 2009 by the Institute of Electrical and Electronics Engineers, Inc. All rights reserved.

关键词： Expert systems

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Harnessing optimization with deep learning approach on intelligent transportation system for anomaly detection in pedestrian walkways

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Scientific Reports 2025年第1期15卷 1-28页

作者： Alotaibi, Sultan Refa Alrayes, Fatma S. Maashi, Mashael Maray, Mohammed Alliheedi, Mohammed A. Badawood, Donia Alotaibi, Moneerah Department of Computer Science College of Science and Humanities Dawadmi Shaqra University Shaqra Saudi Arabia Department of Information Systems College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University PO Box 84428 Riyadh 11671 Saudi Arabia Department of Software Engineering College of Computer and Information Sciences King Saud University PO Box 103786 Riyadh 11543 Saudi Arabia Department of Information Systems College of Computer Science King Khalid University Abha Saudi Arabia Department of Computing Faculty of Computing and Information Al-Baha University Al Baha Saudi Arabia Department of Data Science School of Computers Umm Al-Qura University Makkah Saudi Arabia

Anomaly Detection (AD) in pedestrian walkways is significant in urban safety and security methods. It is generally employed for perceiving unusual or abnormal situations, behaviours, or actions in regions devoted to pedestrian traffic, like pedestrian bridges, sidewalks, or crosswalks. The main aim is to enhance security, efficiency, and safety in the urban environment by classifying changes and observing the activities of pedestrians from recognized models. This type of AD usually has sensors, surveillance cameras, and advanced software methods. By applying innovative computer vision (CV) and machine learning (ML) methods, this approach always examines the pedestrian area to detect potential anomalies and attacks. Deep learning (DL) aided AD in pedestrian walkways, which displays a new and very effective method to progress safety and security in urban environments. Therefore, this study designs a novel Harnessing Optimization with a DL Approach on an Intelligent Transportation System with Anomaly Detection in Pedestrian Walkways (HODLAITS-ADPW) method. The presented HODLAITS-ADPW method utilizes the CV and DL process to detect pedestrians accurately. To attain this, the HODLAITS-ADPW method performs image pre-processing using Median Filtering to enrich the quality of input frames. Next, the HODLAITS-ADPW method utilizes an enhanced YOLOv7 object detector for the object’s detection in the frame. Besides, the Chameleon Swarm Algorithm is employed for the optimum hyperparameter tuning method. The HODLAITS-ADPW method uses an Attention Pyramid Convolutional Neural Network model for anomaly recognition. The experimental values of the HODLAITS-ADPW technique were certified on the pedestrian dataset, and the outcomes can be examined in numerous aspects. The empirical findings reported better outcomes for the HODLAITS-ADPW technique when compared to other models. © The Author(s) 2025.

关键词： Chameleon swarm algorithm Intelligent transportation system Median filtering Pedestrian walkway YOLOv7

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Emerging case oriented agents for sustaining educational institutions going green towards environmental responsibility

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Journal of systems and Information Technology 2019年第2期21卷 186-214页

作者： Anthony Jnr, Bokolo Abdul Majid, Mazlina Romli, Awanis Department of Computer Science Norwegian University of Science and Technology NTNU Trondheim Norway Universiti Malaysia Pahang Faculty of Computer Systems and Software Engineering Kuantan Malaysia

Purpose: The purpose of this paper is to design a system deployment model that integrates case-based agent technique to develop an eco-responsibility decision support tool for greening educational institutions toward environmental responsibility. Design/methodology/approach: Data were collected through questionnaires distributed among a statistical population that comprised practitioners across educational institutions in Malaysia that implement green practices. The questionnaire measured the feasibility of the developed tool based on factors derived from the literature. Accordingly, descriptive, exploratory and factor analysis approach using statistical package for social sciences (SPSS) was used to test the feasibility of the developed tool. Findings: Results from descriptive analysis confirm the tool is feasible based on mean values that range from 4.1619 to 3.6508 on a five-point scale, indicating that the tool is effective in sustaining educational institutions going green. Besides, results from exploratory analysis verify the reliability of the tool based on the acceptable Cronbach’s alpha reliability coefficient score higher than 0.7 and Kaiser–Meyer–Olkin value being above 0.5. Finally, results from factor analysis reveal that the developed tool is usable, efficient, helpful, flexible and credible and supports educational institutions in going green at 88.44 per cent of the total variance, suggesting that the respondents are satisfied with the tool. Research limitations/implications: The sample population in this study comprises only practitioners from educational institutions in Malaysia. Theoretically, this research provides feasibility factors and associated items that can be used in evaluating developed information systems. Practical implications: Practically, this study develops an eco-responsibility decision support tool to facilitate green strategies and provides information on how practitioners in educational institutions can improve green growth. So

关键词： Sustainable development

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The usage of block average intensity in tamper localization for image watermarking

The usage of block average intensity in tamper localization ...

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4th International Congress on Image and Signal Processing, CISP 2011

作者： Liew, Siau-Chuin Zain, Jasni Mohamad Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang Kuantan Malaysia

ISBN: (纸本)9781424493067

Tamper localization capable image watermarking scheme is able to detect the location of manipulated areas, and verify other areas as authentic. The usage of block average intensity in the tamper localization process is one of the popular techniques due to its easy implementation. The effectiveness of using average intensity for tamper localization had not been properly tested. Experiments were performed using a tamper localization watermarking scheme for medical image which is based on block average intensity. The results shows that the tamper localization process will fail in certain conditions and caused some tampering left undetected. © 2011 IEEE.

关键词： Image watermarking

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