13 citations · 27 across the 7 of their papers we have counts for
4 papers · 1 filter
DDQN-MLP: An Explainable and Adversarially Robust DRL-Guided Adaptive Learning Framework for Ransomware Detection
Jannatul Ferdous, Rafiqul Islam, Arash Mahboubi +1
Ransomware detection remains challenging because modern variants exhibit diverse, evasive, and partly benign-like behaviors that undermine fixed supervised learning objectives. Thi…
A Sysmon Incremental Learning System for Ransomware Analysis and Detection
Jamil Ispahany, MD Rafiqul Islam, M. Arif Khan +1
In the face of increasing cyber threats, particularly ransomware attacks, there is a pressing need for advanced detection and analysis systems that adapt to evolving malware behavi…
Malicious Package Detection using Metadata Information
S. Halder, M. Bewong, A. Mahboubi +7
Protecting software supply chains from malicious packages is paramount in the evolving landscape of software development. Attacks on the software supply chain involve attackers inj…
Darknet Traffic Analysis A Systematic Literature Review
Javeriah Saleem, Rafiqul Islam, Zahidul Islam
The primary objective of an anonymity tool is to protect the anonymity of its users through the implementation of strong encryption and obfuscation techniques. As a result, it beco…