7 citations · 12 across the 5 of their papers we have counts for
5 papers
Large Language Model (LLM) for Software Security: Code Analysis, Malware Analysis, Reverse Engineering
Hamed Jelodar, Samita Bai, Parisa Hamedi +3
Large Language Models (LLMs) have recently emerged as powerful tools in cybersecurity, offering advanced capabilities in malware detection, generation, and real-time monitoring. Nu…
On the Consistency of GNN Explanations for Malware Detection
Hossein Shokouhinejad, Griffin Higgins, Roozbeh Razavi-Far +2
Control Flow Graphs (CFGs) are critical for analyzing program execution and characterizing malware behavior. With the growing adoption of Graph Neural Networks (GNNs), CFG-based re…
Recent Advances in Malware Detection: Graph Learning and Explainability
Hossein Shokouhinejad, Roozbeh Razavi-Far, Hesamodin Mohammadian +4
The rapid evolution of malware has necessitated the development of sophisticated detection methods that go beyond traditional signature-based approaches. Graph learning techniques…
Explainable Malware Detection through Integrated Graph Reduction and Learning Techniques
Hesamodin Mohammadian, Griffin Higgins, Samuel Ansong +2
Control Flow Graphs and Function Call Graphs have become pivotal in providing a detailed understanding of program execution and effectively characterizing the behavior of malware.…
Privacy-Preserving for Images in Satellite Communications: A Comprehensive Review of Chaos-Based Encryption
Farrukh Bin Rashid, Windhya Rankothge, Somayeh Sadeghi +2
In an era where global connectivity has become critical, satellite communication is essential for businesses, governments, and individuals. Widely used services with satellite comm…