ahsanayub / irp-driven-ransomware-analysis Goto Github PK

This purpose of this project is to perform an exahaustive ransomware analysis through I/O Request Packet (IRP), low-level file system I/O logs. We aim to achieve the followings goals:

• Time Series Analysis: Detection of the ransomware process early enough to claim real-time detection;
• Heuristic Approach / Fuzzy Technique: Derive threshold value(s) of features space over time for the ransomware IRP logs compared with benign logs;
• Sequence Mining / Pattern Mining: Devise an automated sequence from different ransomware samples that would aid early detection provided a sequence is matched for a given process; and
• Machine Learning (Multiclass Classification): Detection of the ransomware families from the ransomware IRP logs.

We would like to thank Andrea Continella, Ph.D. to provide us with the datasets that we have used on this project. The research paper can be found here: SheildFS 2016.