Analyzing Network Privacy Preserving Methods: A Perspective of Social Network Characteristics
- Title
- Analyzing Network Privacy Preserving Methods: A Perspective of Social Network Characteristics
- Author
- 박용수
- Keywords
- network privacy preserving; privacy breach; structural disparity
- Issue Date
- 2014-06
- Publisher
- IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG, KIKAI-SHINKO-KAIKAN BLDG, 3-5-8, SHIBA-KOEN, MINATO-KU, TOKYO, 105-0011, JAPAN
- Citation
- IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS 권: E97D 호: 6 페이지: 1664-1667
- Abstract
- A burst of social network services increases the need for in-depth analysis of network activities. Privacy breach for network participants is a concern in such analysis efforts. This paper investigates structural and property changes via several privacy preserving methods (anonymization) for social network. The anonymized social network does not follow the power-law for node degree distribution as the original network does. The peak-hop for node connectivity increases at most 1 and the clustering coefficient of neighbor nodes shows 6.5 times increases after anonymization. Thus, we observe inconsistency of privacy preserving methods in social network analysis.
- Description
- Business for Cooperative R&D between Industry, Academy, and Research Institute
- URI
- http://dx.doi.org/10.1587/transinf.E97.D.1664http://hdl.handle.net/20.500.11754/46676
- ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E97.D.1664
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
- Files in This Item:
There are no files associated with this item.
- Export
- RIS (EndNote)
- XLS (Excel)
- XML