An adaptive neuro-fuzzy inference system for multinomial malware classification by Amos Orenyi Bajeh, Mary Olayinka Olaoye, Fatima Enehezei Usman-Hamza, Ikeola Suhurat Olatinwo, Peter ogirima Sadiku, Abdulkadir Bolakale Sakariyah

“…The ANFIS model was trained and tested with two prominent malware datasets from the Canada Institute of Cyber Security. The experimental results showed that the performance of the ANFIS model degrades as the size of the datasets increases, and the accuracy, precision, recall, and root mean square error is 94%, 0.88, 0.87, and 0.19 respectively. …”
Get full text

A Program for Master of Information Technology by Kabale University

“…The core courses in this programmes address challenges related to Enterprise Governance of ICT, Managing ICT Projects, Risk & Change Management, Cyber Security Management, IT project Management among others. …”
Get full text

E-Commerce Fraud Detection Based on Machine Learning Techniques: Systematic Literature Review by Abed Mutemi, Fernando Bacao

“…To establish a healthy e-commerce ecosystem, robust cyber security and anti-fraud measures are crucial. However, research on fraud detection systems has struggled to keep pace due to limited real-world datasets. …”
Get full text

Intrinsic assurance: a systematic approach towards extensible cybersecurity by Xunxun CHEN, Mingzhe LI, Ning LYU, Liang HUANG

“…At present, the mainstream cyber security systems are laid out in an alienated style, where security functions are separated from business processes, and security products are isolated from each other.It is difficult to effectively cope with increasingly complicated cyber threats in this architecture.Therefore, it is imperative to move security inward for more resilient and secure network infrastructures.Business scenarios of the cybersecurity sector can be categorized into four perspectives: organization, vendor, regulatory and threat, each of which has different business objectives.Starting from the commonness and individuality of the four perspectives, the needs of this sector was systematically summarized and then the goal of building an extensible cybersecurity capability ecosystem was recognized.As the key to this goal, the intrinsic assurance methodology was proposed.Intrinsic assurance capabilities referred to the abilities of ICT components to natively support security functions such as monitoring, protection and traceability.But intrinsic assurance is not the ultimate security implementation itself, which is a key difference from the existing “endogenous security” or “designed-in security” methodologies.Intrinsic assurance emphasizes the inherent security enabling endowment of network components, whether by activating an innate gift or by encapsulating a given one, both of which logically exhibit autoimmunity from an external viewpoint.One advantage of such a component is the cohesion of business and security, which leads to transparent security posture awareness, customized security policies, and close-fitting security protection.It also simplifies the overall engineering architecture and reduces management complexity through encapsulation of multiple functions into a singleton.Additionally, the Intrinsic Assurance Support Capability Framework was put forward, which summarized and enumerated the security capabilities that conformed to the intrinsic assurance concept.This framework classified the security capabilities into five categories, namely collection, cognition, execution, syndication and resilience respectively, together with their sub-types and underlying ICT technologies.Based on this framework, the enhanced implementations of typical security business scenarios was further introduced in light of intrinsic assurance.…”
Get full text

WGAN-DL-IDS: An Efficient Framework for Intrusion Detection System Using WGAN, Random Forest, and Deep Learning Approaches by Shehla Gul, Sobia Arshad, Sanay Muhammad Umar Saeed, Adeel Akram, Muhammad Awais Azam

“…The rise in cyber security issues has caused significant harm to tech world and thus society in recent years. …”
Get full text

ECGConVT: A Hybrid CNN and Vision Transformer Model for Enhanced 12-Lead ECG Images Classification by Mudassar Khalid, Charnchai Pluempitiwiriyawej, Abdulkadhem A. Abdulkadhem, Imran Afzal, Tien Truong

Get full text

Atrial Fibrillation Detection by the Combination of Recurrence Complex Network and Convolution Neural Network by Xiaoling Wei, Jimin Li, Chenghao Zhang, Ming Liu, Peng Xiong, Xin Yuan, Yifei Li, Feng Lin, Xiuling Liu

Get full text

Data Augmentation-Based Enhancement for Efficient Network Traffic Classification by Chang-Yui Shin, Yang-Seo Choi, Myung-Sup Kim

Get full text

Framework for user behavioural biometric identification using a multimodal scheme with keystroke trajectory feature and recurrent neural network on a mobile platform by Ka‐Wing Tse, Kevin Hung

“…Thus, the proposed mobile identification system is capable of resisting attacks that standard mechanisms may be vulnerable to and represents a valuable contribution to cyber security.…”
Get full text

MODELING OF POWER SYSTEMS AND TESTING OF RELAY PROTECTION DEVICES IN REAL AND MODEL TIME by I. V. Novash

“…Examples are given of the use of RTDS systems by foreign energy companies to test relay protection systems and control, to test the equipment and devices of automatic control, analysis of cyber security and evaluation of the operation of energy systems under different scenarios of occurrence of emergency situations. …”
Get full text

Understanding ChatGPT: Impact Analysis and Path Forward for Teaching Computer Science and Engineering by P. Banerjee, Anurag K. Srivastava, Donald A. Adjeroh, Ramana Reddy, Nima Karimian

“…In this paper, common classroom problems and their respective responses from ChatGPT in the domains of Computer Science, Cyber Security, Data Science, and Electrical Engineering are analyzed to determine the categories of queries for which ChatGPT offers reliable responses and those for which it may be factually incorrect. …”
Get full text

Utilizing Artificial neural networks (ANN) to regulate Smart cities for sustainable Urban Development and Safeguarding Citizen rights by Zhen Kuang, Junyu Su, Ahmad Latifian, Sanli Eshraghi, Alireza Ghafari

“…This study used an artificial neural network (ANN) to examine the effects of cyber security regulations, citizen participation, information sharing laws, and data protection on smart city development. …”
Get full text

Machine learning boosts wind turbine efficiency with smart failure detection and strategic placement by Sekar Kidambi Raju, Muthusamy Periyasamy, Amel Ali Alhussan, Subhash Kannan, Srikanth Raghavendran, El-Sayed M. El-kenawy

Get full text

Multi-Population Kidney-Inspired Algorithm With Migration Policy Selections for Feature Selection Problems by Najmeh Sadat Jaddi, Salwani Abdullah, Say Leng Goh, Mohd Zakree Ahmad Nazri, Zalinda Othman, Mohammad Kamrul Hasan, Fatemeh Alvankarian

Get full text

Assistive Devices Analysis for Visually Impaired Persons: A Review on Taxonomy by Sadia Zafar, Muhammad Asif, Maaz Bin Ahmad, Taher M. Ghazal, Tauqeer Faiz, Munir Ahmad, Muhammad Adnan Khan

Get full text

CDR-Detector: a chronic disease risk prediction model combining pre-training with deep reinforcement learning by Shaofu Lin, Shiwei Zhou, Han Jiao, Mengzhen Wang, Haokang Yan, Peng Dou, Jianhui Chen

Get full text

Identifying Incident Causal Factors to Improve Aviation Transportation Safety: Proposing a Deep Learning Approach by Tianxi Dong, Qiwei Yang, Nima Ebadi, Xin Robert Luo, Paul Rad

Get full text

Personalized Federated Learning for Heterogeneous Residential Load Forecasting by Xiaodong Qu, Chengcheng Guan, Gang Xie, Zhiyi Tian, Keshav Sood, Chaoli Sun, Lei Cui

Get full text

RETRACTED ARTICLE: An intelligent dynamic cyber physical system threat detection system for ensuring secured communication in 6G autonomous vehicle networks by Shanthalakshmi M, Ponmagal R S

“…This research contributes to the development of intelligent cyber-security models that align with 6G standards, ultimately supporting the safe and efficient integration of AVs into smart cities.…”
Get full text

Enhanced Photocatalytic Oxidative Coupling of Methane over Metal-Loaded TiO₂ Nanowires by Shuang Song, Jiongcan Xiang, Hui Kang, Fengming Yang

Get full text