Detection of Personal Information Leakage using the Network Traffic Characteristics 


Vol. 14,  No. 3, pp. 199-208, Jun.  2007
10.3745/KIPSTC.2007.14.3.199


PDF
  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.

  Statistics
  Cite this article

[IEEE Style]

J. M. Park, E. K. Kim, Y. K. Jung, K. J. Chae, J. C. Na, "Detection of Personal Information Leakage using the Network Traffic Characteristics," The KIPS Transactions:PartC, vol. 14, no. 3, pp. 199-208, 2007. DOI: 10.3745/KIPSTC.2007.14.3.199.

[ACM Style]

Jung Min Park, Eun Kyung Kim, Yu Kyung Jung, Ki Joon Chae, and Jung Chan Na. 2007. Detection of Personal Information Leakage using the Network Traffic Characteristics. The KIPS Transactions:PartC, 14, 3, (2007), 199-208. DOI: 10.3745/KIPSTC.2007.14.3.199.

Forms

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)

Old Journals

Indexing

All publications of TKIPS is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.

TKIPS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).

Related Journals