Mobile Privacy: Scalable Ensemble Matching for User Identification Attacks.
Luoyang FangHaonan WangXiang ChengLiuqing YangShuguang CuiPublished in: IEEE Access (2020)
Keyphrases
- malicious users
- security risks
- mobile devices
- mobile phone
- relevance feedback
- neural network
- mobile internet
- user privacy
- security mechanisms
- security issues
- user preferences
- recommender systems
- security threats
- mobile terminals
- user centric
- personal information
- privacy preserving
- countermeasures
- ensemble learning
- privacy preserving data mining
- user model
- matching algorithm
- mobile learning
- user interaction
- collaborative filtering