BlockAthena: A Scalable Approach for Long-Term Blockchain Crimes Analysis
inforesearchPeer-Reviewed
security
Source: IEEE Xplore (Security & AI Journals)April 29, 2026
Summary
BlockAthena is a new forensic framework designed to detect long-term crimes on blockchains (distributed ledgers that record transactions) by analyzing transaction patterns over extended periods. The system identifies criminal behavior by recognizing botnet-style activity (coordinated malicious networks) and APT tactics (advanced persistent threat methods used by sophisticated attackers), segmenting transaction data into meaningful chunks based on crime phases, and using graph analysis to spot suspicious patterns while using less computer memory than previous approaches.
Classification
Attack SophisticationModerate
Monthly digest — independent AI security research
Original source: http://ieeexplore.ieee.org/document/11500489
First tracked: May 18, 2026 at 08:01 PM
Classified by LLM (prompt v3) · confidence: 95%