https://github.com/Stream-AD/MIDAS

Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.
https://github.com/Stream-AD/MIDAS

aaai2020 anomaly-detection denial-of-service fraud-detection intrusion-detection

Last synced: about 2 months ago
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Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

• Host: GitHub
• URL: https://github.com/Stream-AD/MIDAS
• Owner: Stream-AD
• License: apache-2.0
• Created: 2019-10-23T03:50:50.000Z (almost 5 years ago)
• Default Branch: master
• Last Pushed: 2024-01-10T05:43:58.000Z (8 months ago)
• Last Synced: 2024-04-14T20:45:23.569Z (5 months ago)
• Topics: aaai2020, anomaly-detection, denial-of-service, fraud-detection, intrusion-detection
• Language: C++
• Homepage:
• Size: 30.1 MB
• Stars: 749
• Watchers: 29
• Forks: 92
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

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• awesome-starred - Stream-AD/MIDAS - Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies. (others)