Detecting Group Shilling Attacks in Online Recommender Systems Based on Bisecting K-Means Clustering.
Fuzhi ZhangShilei WangPublished in: IEEE Trans. Comput. Soc. Syst. (2020)
Keyphrases
- recommender systems
- product recommendation
- data sparsity
- collaborative filtering
- attack detection
- online learning
- injection attacks
- real time
- detecting malicious
- collaborative filtering algorithms
- user modeling
- countermeasures
- security threats
- online collaborative
- network intrusion detection systems
- implicit feedback
- user profiling
- online environment
- denial of service attacks
- user model
- malicious attacks
- k means
- detect malicious
- clustering algorithm