Results 81 to 90 of about 31,501 (227)

A Survey of SIR‐Based Differential Epidemic Models for Control and Security Against Malware Propagation in Computer Networks

SECURITY AND PRIVACY, Volume 9, Issue 1, January/February 2026.
ABSTRACT Unarguably, malware and their variants have metamorphosed into objects of attack and cyber warfare. These issues have directed research focus to modeling infrastructural settings and infection scenarios, analyzing propagation mechanisms, and conducting studies that highlight optimized remedial measures.
Chukwunonso Henry Nwokoye
wiley   +1 more source

Event Log Correlation for Multi‐Step Attack Detection

SECURITY AND PRIVACY, Volume 9, Issue 1, January/February 2026.
ABSTRACT Event log correlation (ELC) is central to detecting multi‐step attacks (MSAD) that unfold across heterogeneous systems and long time horizons. This review synthesises ELC families—mining/sequence, graph learning, provenance/causal correlation, and hybrid LLM‐assisted approaches—through an MSAD‐first lens that ties methods to attack stages and ...
Syed Usman Shaukat, Saad Khan, Simon Parkinson   +2 more
wiley   +1 more source

A Hybrid Transformer–CNN Framework for Semantic Behavioral Modeling in Office Malware Detection

SECURITY AND PRIVACY, Volume 9, Issue 1, January/February 2026.
ABSTRACT Office documents have emerged as a prevalent attack vector, with adversaries increasingly embedding executable payloads and malicious macros to evade signature‐based detection mechanisms. To address these challenges, this study presents a hybrid Transformer–CNN semantic behavioral modeling framework for Office malware detection.
Sheikh M. Zeeshan Javed, M. Faisal Amjad, Sajjad A. Ghauri, Shahzaib Tahir, Nauman Anwar Baig   +4 more
wiley   +1 more source

Guardians of ICS: A Comparative Analysis of Anomaly Detection Techniques

IET Cyber-Physical Systems: Theory &Applications, Volume 11, Issue 1, January/December 2026.
This study presents a comparative evaluation of supervised and unsupervised learning models for anomaly detection in industrial control systems (ICS), using data from the SWaT testbed. Results show that although supervised models offer higher precision, they miss more unknown attacks, whereas unsupervised models achieve better recall but with increased
Zequn Wang, Muhammad Azmi Umer, Haibo Zhang, Naveed ul Hassan, Chuadhry Mujeeb Ahmed   +4 more
wiley   +1 more source

Modeling and Stability Analysis of Malware Propagation in Hierarchically Protected WSNs Based on Epidemiological Theory

IET Control Theory &Applications, Volume 20, Issue 1, January/December 2026.
This paper proposes a novel malware propagation model based on epidemiological theory, specifically tailored for hierarchically protected wireless sensor networks (WSNs). We classify nodes into strongly and weakly protected categories and establish a four‐state propagation dynamics model (susceptible, exposed, infected, and recovered) to simulate ...
Xuejin Zhu, Nan Fu
wiley   +1 more source

An Ensemble of Pre-trained Transformer Models For Imbalanced Multiclass Malware Classification [PDF]

, 2021
Ferhat Demirkıran, Aykut Çayır, Uğur Ünal, Hasan Dağ   +3 more
openalex   +1 more source

Design and Implementation of XGBoost‐Based Cyberattack Detection and Blockchain‐Enabled Charging Station

Digital Twins and Applications, Volume 3, Issue 1, January/December 2026.
The charging station (CS) plays a crucial role in charging electric vehicles. Therefore, it is necessary to protect the CS from cyberattacks. This paper proposes an architecture for the security of the EV fleet during charging using the XGBoost model and Hyperledger Fabric to protect battery management systems (BMS) from cyberattacks.
Gaurav Kumar, Suresh Mikkili
wiley   +1 more source

Efficient malware detection using NLP and deep learning model

Alexandria Engineering Journal
Malware has emerged as a significant challenge in contemporary society, growing in tandem with technological advancements. Consequently, the classification of malware has become a pressing concern for various services.
Umesh Gupta, Shubham Kandpal, Hayam Alamro, Mashael M. Asiri, Meshari H. Alanazi, Ali M. Al-Sharafi, Shaymaa Sorour   +6 more
doaj   +1 more source

A Systematic Literature Review of Information Security Practices in Higher Education Contexts

IET Information Security, Volume 2026, Issue 1, 2026.
Information security in institutions of higher learning is a persistent challenge that requires immediate attention. The plethora of reported information security breaches in higher education institutions (HEIs) corroborates this. This study reviews 358 articles from reputable journals and databases, synthesized following the preferred reporting items ...
Keefa Bwiino, Geoffrey Kituyi Mayoka, Lawrence Nkamwesiga, Makafui Nyamadi, Paria Shirani   +4 more
wiley   +1 more source

TTDAT: Two-Step Training Dual Attention Transformer for Malware Classification Based on API Call Sequences [PDF]

, 2023
Peng Wang, Tongcan Lin, Di Wu, Jiacheng Zhu, Junfeng Wang   +4 more
openalex   +1 more source