A novel machine learning approach to the detection of identity theft in social networks based on emulated attack instances and support vector machines.
Esther Villar-RodriguezJavier Del SerAna I. Torre-BastidaMiren Nekane BilbaoSancho Salcedo-SanzPublished in: Concurr. Comput. Pract. Exp. (2016)
Keyphrases
- machine learning
- identity theft
- support vector
- social networks
- learning machines
- malicious activities
- support vector machine
- feature selection
- online social networks
- personal information
- false positives
- social network analysis
- large margin classifiers
- kernel function
- detection rate
- anomaly detection
- social networking
- social media
- information extraction
- data analysis
- data mining