Intrusion 2 demo3/30/2024 ![]() ![]() The demo runs on MIDAS/data/DARPA/darpa_processed.csv, which has 4.5M records, with the filtering core (MIDAS-F). cmake -build build/release -target Demo.cmake -DCMAKE_BUILD_TYPE=Release -GNinja -S.Open a Visual Studio developer command prompt, we want their toolchain.Experiments are performed using the following datasets:.Up to 55% more accurate and 929 times faster than the state of the art approaches.Constant Update Time (real-time anomaly detection to minimize harm).Constant Memory (independent of graph size).Theoretical Guarantees on False Positive Probability.Detects Microcluster Anomalies (suddenly arriving groups of suspiciously similar edges e.g.Finds Anomalies in Dynamic/Time-Evolving Graph: (Intrusion Detection, Fake Ratings, Financial Fraud).The old implementation is in another branch OldImplementation, it should be considered as being archived and will hardly receive feature updates. ![]() Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos. MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams.Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos. Real-time Streaming Anomaly Detection in Dynamic Graphs.
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