Data Mining for Security Anomalies
summary
Covers project TARGET's pipeline for security anomaly detection: collecting streams of security event data from systems, preprocessing and storing those event streams, then applying data mining to find anomalies (security incidents) and producing human-understandable reports and suggestions.
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chapters (10)
- 0:00Security data mining
- 5:31Data transfer challenges
- 9:20Industrial data fusion
- 15:20Network/file anomalies
- 21:53Implementation challenges
- 24:41Sensor network processing
- 25:02Live anomaly detection
- 27:03Dynamic damping
- 28:46User data collaboration
- 30:53Q&A
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