RanDS: A Large-Scale Open Dataset of Raw Binaries and Extracted Features for Ransomware Research
inforesearchPeer-Reviewed
research
Source: Elsevier Security JournalsMarch 28, 2026
Summary
RanDS is a new large-scale dataset containing raw binary files (the compiled machine code of programs) and extracted features designed to help researchers study and detect ransomware (malicious software that encrypts victims' files and demands payment). This resource aims to support the development and testing of machine learning models that can identify ransomware threats more effectively.
Classification
Attack SophisticationModerate
Original source: https://www.sciencedirect.com/science/article/pii/S0167404826000854?dgcid=rss_sd_all
First tracked: March 28, 2026 at 08:01 AM
Classified by LLM (prompt v3) · confidence: 75%