Abstract
Duplicate and false identity records are quite common in identity management systems due to unintentional errors or intentional deceptions. Identity resolution is to uncover identity records that are co-referent to the same real-world individual. In this paper we introduce a framework of identity resolution that covers different identity attributes and matching algorithms. Guided by social identity theories, we define three types of identity cues, namely personal identity attributes, social behavior attributes, and social relationship attributes. We also compare three matching algorithms: pair-wise comparison, transitive closure, and collective clustering. Our experiments using synthetic and real-world data demonstrate the importance of social behavior and relationship attributes for identity resolution. In particular, a collective identity resolution technique, which captures all three types of identity attributes and makes matching decisions on identities collectively, is shown to achieve the best performance among all approaches.
Highlights
The world is moving away from paper-based documents to electronic records
We experimented with different parameter settings so as to have a more comprehensive comparison of different identity resolution techniques
Conclusions and future directions In this paper we introduced a framework of identity resolution techniques that utilizes different identity attributes and matching algorithms
Summary
The world is moving away from paper-based documents to electronic records. Due to the ease of generating identity records and lack of sufficient verification or validation during data entry processes, duplicate and false identity records become quite common in electronic systems. In many practices of identity management, especially those that require integrating multiple data sources, it is often inevitable and tedious to deal with the problem of identity duplication. In a number of cases documented by government reports, terrorists in different countries are known to commit identity crimes, such as falsifying passports and baptismal certificates, to facilitate their financial operations and execution of attacks, either in the real world or in the cyber space [1, 2]. The problem of an individual having multiple identities can mislead intelligence and law enforcement
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