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http://dx.doi.org/10.3745/KIPSTC.2007.14-C.3.199

Detection of Personal Information Leakage using the Network Traffic Characteristics  

Park, Jung-Min (이화여자대학교 컴퓨터정보통신공학과)
Kim, Eun-Kyung (이화여자대학교 컴퓨터정보통신공학과)
Jung, Yu-Kyung (이화여자대학교 컴퓨터정보통신공학과)
Chae, Ki-Joon (이화여자대학교 컴퓨터정보통신공학과)
Na, Jung-Chan (한국전자통신연구원 능동보안기술연구팀)
Publication Information
The KIPS Transactions:PartC / v.14C, no.3, 2007 , pp. 199-208 More about this Journal
Abstract
In a ubiquitous network environment, detecting the leakage of personal information is very important. The leakage of personal information might cause severe problem such as impersonation, cyber criminal and personal privacy violation. In this paper, we have proposed a detection method of personal information leakage based on network traffic characteristics. The experimental results indicate that the traffic character of a real campus network shows the self-similarity and Proposed method can detect the anomaly of leakage of personal information by malicious code.
Keywords
Personal information; Personal information leakage; Self-similarity; Traffic characteristics;
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