Unsupervised detection of obfuscated diverse attacks in recommender systems.
Saad Sajid HashmiSang-Wook KimPublished in: RACS (2014)
Keyphrases
- recommender systems
- automatic detection
- collaborative filtering
- injection attacks
- attack detection
- false positives
- detection method
- detection algorithm
- anomaly detection
- unsupervised learning
- false alarms
- real world
- semi supervised
- detection accuracy
- reverse engineering
- object detection
- face detection
- supervised learning
- countermeasures
- wide variety
- watermarking algorithm
- user profiling
- product recommendation
- security threats
- text classification
- intrusion detection