PRM-based identity matching using social context
- Resource Type
- Conference
- Authors
- Li, Jiexun; Wang, G. Alan; Chen, Hsinchun
- Source
- 2008 IEEE International Conference on Intelligence and Security Informatics Intelligence and Security Informatics, 2008. ISI 2008. IEEE International Conference on. :150-155 Jun, 2008
- Subject
- Computing and Processing
Internet
Identity management systems
Intelligent networks
Safety
Electronic mail
Artificial intelligence
Information security
Information analysis
Uniform resource locators
Performance analysis
Identity matching
PRM
probabilistic models
social context
- Language
Identity management is critical for many intelligence and security applications. Identity information is not reliable due to the problems of unintentional errors and intentional deception by the criminals. Most of existing identity matching techniques consider personal identity features only. In this article we propose a PRM-based identity matching technique that takes both personal identity features and social contexts into account. We identify two groups of social context features, namely social activity and social relation features. Experiments show that the social activity features significantly improve the matching performance while the social relation features effectively reduce false positive and false negative.