8 citations · 25 across the 15 of their papers we have counts for
16 papers
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…
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…
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…
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…
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…
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…
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…
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…
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…
CyberAlly: Leveraging LLMs and Knowledge Graphs to Empower Cyber Defenders
Minjune Kim, Jeff Wang, Kristen Moore +7
The increasing frequency and sophistication of cyberattacks demand innovative approaches to strengthen defense capabilities. Training on live infrastructure poses significant risks…
Zero Day Ransomware Detection with Pulse: Function Classification with Transformer Models and Assembly Language
Matthew Gaber, Mohiuddin Ahmed, Helge Janicke
Finding automated AI techniques to proactively defend against malware has become increasingly critical. The ability of an AI model to correctly classify novel malware is dependent…
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…
ExplainableDetector: Exploring Transformer-based Language Modeling Approach for SMS Spam Detection with Explainability Analysis
Mohammad Amaz Uddin, Muhammad Nazrul Islam, Leandros Maglaras +2
SMS, or short messaging service, is a widely used and cost-effective communication medium that has sadly turned into a haven for unwanted messages, commonly known as SMS spam. With…
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…
Detecting Anomalies in Blockchain Transactions using Machine Learning Classifiers and Explainability Analysis
Mohammad Hasan, Mohammad Shahriar Rahman, Helge Janicke +1
As the use of Blockchain for digital payments continues to rise in popularity, it also becomes susceptible to various malicious attacks. Successfully detecting anomalies within Blo…
AI Potentiality and Awareness: A Position Paper from the Perspective of Human-AI Teaming in Cybersecurity
Iqbal H. Sarker, Helge Janicke, Nazeeruddin Mohammad +2
This position paper explores the broad landscape of AI potentiality in the context of cybersecurity, with a particular emphasis on its possible risk factors with awareness, which c…