8 citations · 25 across the 15 of their papers we have counts for
5 papers · 1 filter
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…