activity
20242026
most citedCritical Infrastructure Protection: Generative AI, Challenges, and Opportunities

8 citations · 21 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CR2026

NeuroGraph: An AI Graph-Driven Neuro-Symbolic Framework for Explainable Threat Reasoning in Advanced Manufacturing

Padmeswari Nandiya, Ahmad Mohsin, Ahmed Ibrahim +2

The growing complexity of cyber-physical attack surfaces in advanced manufacturing has made cyber threat intelligence analysis increasingly difficult. Although large language model…

cs.AI2026

Enhancing LLMs with Context-Specific Knowledge for Mitigating Misinformation in SMEs: A RAG-based Modeling and Analysis

Md. Samiul Islam, Iqbal H. Sarker, Chadni Islam +3

Large Language Models (LLMs), a part of artificial intelligence (AI), are increasingly being adopted by Small and Medium Enterprises (SMEs) to enhance question-answering capabiliti…

cs.CR2026

HySecTwin: A Knowledge-Driven Digital Twin Framework Augmented with Hybrid Reasoning for Cyber-Physical Systems

David Holmes, Ahmad Moshin, Surya Nepal +3

Existing Digital Twin (DT) approaches often lack semantic reasoning capabilities for effective cybersecurity modelling in Cyber-Physical Systems (CPS). This paper presents HySecTwi…

cs.CR2025

BRIDG-ICS: AI-Grounded Knowledge Graphs for Intelligent Threat Analytics in Industry~5.0 Cyber-Physical Systems

Padmeswari Nandiya, Ahmad Mohsin, Ahmed Ibrahim +2

Industry 5.0's increasing integration of IT and OT systems is transforming industrial operations but also expanding the cyber-physical attack surface. Industrial Control Systems (I…

cs.CR2025

Innovating Augmented Reality Security: Recent E2E Encryption Approaches

Hamish Alsop, Leandros Maglaras, Helge Janicke +2

End-to-end encryption (E2EE) has emerged as a fundamental element of modern digital communication, protecting data from unauthorized access during transmission. By design, E2EE ens…

cs.LG2025★ 1 cited

SME-TEAM: Leveraging Trust and Ethics for Secure and Responsible Use of AI and LLMs in SMEs

Iqbal H. Sarker, Helge Janicke, Ahmad Mohsin +1

Artificial Intelligence (AI) and Large Language Models (LLMs) are revolutionizing today's business practices; however, their adoption within small and medium-sized enterprises (SME…

cs.AI2025★ 5 cited

A Unified Framework for Human AI Collaboration in Security Operations Centers with Trusted Autonomy

Ahmad Mohsin, Helge Janicke, Ahmed Ibrahim +2

This article presents a structured framework for Human-AI collaboration in Security Operations Centers (SOCs), integrating AI autonomy, trust calibration, and Human-in-the-loop dec…

cs.LG2025

AI Enabled User-Specific Cyberbullying Severity Detection with Explainability

Tabia Tanzin Prama, Jannatul Ferdaws Amrin, Md. Mushfique Anwar +1

The rise of social media has significantly increased the prevalence of cyberbullying (CB), posing serious risks to both mental and physical well-being. Effective detection systems…

cs.CR2024★ 7 cited

Can We Trust Large Language Models Generated Code? A Framework for In-Context Learning, Security Patterns, and Code Evaluations Across Diverse LLMs

Ahmad Mohsin, Helge Janicke, Adrian Wood +3

Large Language Models (LLMs) such as ChatGPT and GitHub Copilot have revolutionized automated code generation in software engineering. However, as these models are increasingly uti…

cs.CR2024★ 8 cited

Critical Infrastructure Protection: Generative AI, Challenges, and Opportunities

Yagmur Yigit, Mohamed Amine Ferrag, Iqbal H. Sarker +4

Critical National Infrastructure (CNI) encompasses a nation's essential assets that are fundamental to the operation of society and the economy, ensuring the provision of vital uti…