1 citations · 3 across the 7 of their papers we have counts for
3 papers · 1 filter
Scalable Malware Family Classification Using Quantum Kernel Based Machine Learning
Ratun Rahman, Hassan Jalil Hadi, Christopher Gabriel Pedraza Pohlenz +1
The classification of malware families is a key challenge in cybersecurity, which enables threat attribution, analysis of attack operations, and the formulation of effective defens…
GenTI: Benchmarking LLMs for Autonomous IDPS Rule Generation for Unseen Attacks
Hassan Jalil Hadi, Rehana Yasmin, Ali Shoker
Rule-based Intrusion Detection and Prevention Systems (IDPS) offer precise attack detection as well as mitigation, however their manually crafted, signature-driven rules limit adap…
LCC-LLM: Leveraging Code-Centric Large Language Models for Malware Attribution
Christopher G. Pedraza Pohlenz, Hassan Jalil Hadi, Ali Hassan +1
LLMs are increasingly explored for malware analysis; however, current LLM-based malware attribution remains limited by unsupported indicators and insufficient code-level grounding…