Title
Privacy Level Indicating Data Leakage Prevention System.
Abstract
The purpose of a data leakage prevention system is to protect corporate information assets. The system monitors the packet exchanges between internal systems and the Internet, filters packets according to the data security policy defined by each company, or discretionarily deletes important data included in packets in order to prevent leakage of corporate information. However, the problem arises that the system may monitor employees' personal information, thus allowing their privacy to be violated. Therefore, it is necessary to find not only a solution for detecting leakage of significant information, but also a way to minimize the leakage of internal users' personal information. In this paper, we propose two models for representing the level of personal information disclosure during data leakage detection. One model measures only the disclosure frequencies of keywords that are defined as personal data. These frequencies are used to indicate the privacy violation level. The other model represents the context of privacy violation using a private data matrix. Each row of the matrix represents the disclosure counts for personal data keywords in a given time period, and each column represents the disclosure count of a certain keyword during the entire observation interval. Using the suggested matrix model, we can represent an abstracted context of the privacy violation situation. Experiments on the privacy violation situation to demonstrate the usability of the suggested models are also presented.
Year
DOI
Venue
2013
10.3837/tiis.2013.03.009
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS
Keywords
Field
DocType
DLP system,Critical Information Protection,Privacy Protection
Internet privacy,Data security,Leakage (electronics),Computer science,Asset (computer security),Computer security,Usability,Network packet,Computer network,Personally identifiable information,Privacy software,The Internet
Journal
Volume
Issue
ISSN
7
3
1976-7277
Citations 
PageRank 
References 
12
3.52
4
Authors
4
Name
Order
Citations
PageRank
JinHyung Kim121736.55
Choon-Sik Park242776.64
Jun Hwang3123.52
Hyung-Jong Kim427827.13