MIDAS: Real-Time Streaming Anomaly Detection in Dynamic Graphs


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MIDAS finds anomalies or malicious edges in time-evolving graphs. MIDAS can be used for real-time detection of intrusions, denial of service (DoS) and distributed denial of service (DDoS) attacks, financial fraud, and fake ratings. MIDAS requires constant memory to detect these anomalies in real-time so as to minimize the harm caused by them. Check out MIDAS here.

 


Contributors
Siddharth Bhatia

Ph.D. Student, National University of Singapore (NUS)

Application Security & DevOps Hackers & Threats

artificial intelligence & machine learning behavioral analytics fraud hackers threats incident response intrusion preventiondetection secure coding security intelligence threat management


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