bhatiasiddharth/MIDAS

Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

118 best points · 25 comments · 6 Hacker News posts · 778 GitHub stars · View on GitHub

Hacker News discussions

• Show HN: Fast Real-Time Anomaly Detection in Dynamic Graphs (118 points, 22 comments, by siddharthbhatia, 2020-02-07)
• Show HN: Midas, Microcluster-Based Detector of Anomalies in Edge Streams (15 points, 2 comments, by siddharthbhatia, 2019-11-11)
• Show HN: Midas, a Streaming Anomaly Detector (11 points, 0 comments, by siddharthbhatia, 2020-01-27)
• A Microcluster-Based Anomaly Detector in Edge Streams (4 points, 1 comments, by siddharthbhatia, 2019-11-26)
• Show HN: Real-Time Anomaly Detection in Graphs (4 points, 0 comments, by siddharthbhatia, 2020-02-06)
• Show HN: Streaming Anomaly Detector (1 points, 0 comments, by siddharthbhatia, 2020-02-04)