SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection.
Peng GaoXusheng XiaoDing LiZhichun LiKangkook JeeZhenyu WuChung Hwan KimSanjeev R. KulkarniPrateek MittalPublished in: USENIX Security Symposium (2018)
Keyphrases
- real time
- abnormal behavior
- database
- query processing
- response time
- face detection and tracking
- query evaluation
- detection algorithm
- detection accuracy
- object detection
- low cost
- anomaly detection
- user queries
- efficient processing
- false alarms
- automatic detection
- control system
- detection method
- data objects
- detecting and tracking multiple
- data structure
- data streams
- relevance feedback
- query expansion
- event detection
- vision system
- streaming data
- information retrieval
- vehicle detection
- query formulation
- complex queries
- retrieval method
- keyword search
- user interaction
- face detection
- detection rate
- retrieval systems
- range queries