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20232026
most citedCritical Infrastructure Protection: Generative AI, Challenges, and Opportunities

8 citations · 11 across the 11 of their papers we have counts for

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11 papers · 1 filter

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.CR2026

Digital White Spaces: A Cyberpsychology-Informed Framework to Mobile Phone Addiction

Leandros Maglaras, Christina Kyritsi, Helge Janicke +1

Mobile phone overuse and attention fragmentation have become pressing societal and public health concerns. Cyberpsychology research highlights addictive engagement loops driven by…

cs.CR2026

DEFENGRAPH: Knowledge Graph-Enhanced LLMs for Blue Team Cyber Defense

Zhen Wang, Kristen Moore, Qin Wang +7

Large Language Models (LLMs) show promise for supporting decision-making in cybersecurity, but their reliability in high-stakes, time-evolving environments remains limited due to h…

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.CR2025

Zero Day Malware Detection with Alpha: Fast DBI with Transformer Models for Real World Application

Matthew Gaber, Mohiuddin Ahmed, Helge Janicke

The effectiveness of an AI model in accurately classifying novel malware hinges on the quality of the features it is trained on, which in turn depends on the effectiveness of the a…