Browse > Article
http://dx.doi.org/10.13089/JKIISC.2013.23.6.1199

Measuring method of personal information leaking risk factor to prevent leak of personal information in SNS  

Cheon, Myung-Ho (SoongSil University)
Choi, Jong-Seok (SoongSil University)
Shin, Yong-Tae (SoongSil University)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.23, no.6, 2013 , pp. 1199-1206 More about this Journal
Abstract
SNS is relationship based service and its users are increasing rapidly because it can be used in variety forms as penetration rate of Smartphone increased. Accordingly personal information can be exposed easily and spread rapidly in SNS so self-control on information management, right to control open and distribution of own personal information is necessary. This research suggest way of measuring personal information leaking risk factor through personal information leaking possible territory's, based on property value and relationship of personal information in SNS, personal information exposure frequency and access rate. Suggested method expects to used in strengthening self-control on information management right by arousing attention of personal information exposure to SNS users.
Keywords
Privacy; Personal Information Exposure; SNS;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Chungha Kim and Seog Park, "Detecting privacy leak using adjacent nodes in social network," Korea Computer Congress, 39(1-C), pp.131-133, June. 2012.
2 G. Wondracek, Tholz, E, Kirda, and C. Kruegel, "A Practical Attack to De - anonymize Social Network Users," IEEE Symposium on Security and Privacy, vol,0, pp. 223 - 238, May. 2010.
3 Ming Li, Ning Cao, Shucheng Yu, and Wenjing Lou, "FindU: Privacy - Preserving Personal Profile Matching in Mobile Social Network," In Proc. of IEEE INFOCOM'11, Shanghai, China, pp. 2435-2443, Apr. 2011.
4 W3C, "The Platform for Privacy Pre- ferences 1.0(P3P1.0) Specification" http://www.w3.org/TR/P3P/. April. 2002.
5 IBM, EPAL v1.2. http://www.zurich.ibm.com/security/enterprise-privacy/epal/Specification/index.html
6 OASIS, "eXtensible Access Control Mark Language(XACML) V2.0" Committee draft 04, Dec. 2004.
7 Jihye Kim and Hyunghyo Lee, "Implementation of Privacy Protection Policy Language and Module For Social Network Services," Journal of The korea Institute of Information Security and Cryptology, 21(1), pp. 53-63, Feb. 2011.
8 Ministry of Public Administration and Security(MOSPA).Korea Internet and Security Agency(KISA), "Perform manual of Privacy Impact Assessment in public authorities", pp. 31, 2011
9 S. Wasserman, "Social network analysis: methods and applications," Cambridge University Press, Nov. 1994.