Conference proceeding
Information sharing and privacy protection of terrorist or criminal social networks
2008 IEEE International Conference on Intelligence and Security Informatics, pp 40-45
Jun 2008
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Terrorist or criminal social network analysis is helpful for intelligence and law enforcement force in investigation. However, individual agency usually has part of the complete terrorist or criminal social network and therefore some crucial knowledge is not able to be extracted. Sharing information between different agencies will make such social network analysis more effective; unfortunately, it may violate the privacy of some sensitive information. There is always a tradeoff between the degree of privacy and the degree of utility in information sharing. Several approaches have been proposed to resolve such dilemma in sharing data from different relational tables. There is not any work on sharing social networks from different sources and yet try to minimize the reduction on the degree of privacy. In this paper, we propose a subgraph generalization approach for information sharing and privacy protection of terrorist or criminal social networks. Our experiment shows that such approach is promising.
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Details
- Title
- Information sharing and privacy protection of terrorist or criminal social networks
- Creators
- Christopher C Yang - Drexel University
- Publication Details
- 2008 IEEE International Conference on Intelligence and Security Informatics, pp 40-45
- Conference
- 2008 IEEE International Conference on Intelligence and Security Informatics
- Publisher
- IEEE
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000258854400008
- Scopus ID
- 2-s2.0-51849154713
- Other Identifier
- 991019169418104721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems
- Computer Science, Theory & Methods