A Study on Privacy Preserving Data Leakage Prevention System

  • Jinhyung Kim
  • Hyung Jong Kim
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 157)


DLP (Data Leakage Prevention) system is an essential for protection of valuable information asset of companies and organizations. To prevent the data leakage, security administrator should monitor the employee’s network access and it causes violation of privacy. This research deals with the privacy violation issues in DLP system and shows how we can manage the trade-off relation between DLP and privacy protection. Especially, we are proposing a design of privacy preserving DLP system.


Hash Function Privacy Protection Technical Approach Information Leakage Privacy Preserve 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Hiroshi, S., Kazuo, Y., Ryuichi, O., Itaru, H.: An Information Leakage Risk Evaluation Method Based on Security Configuration Validation. IEICE Technical Report 105(398), 15–22 (2005)Google Scholar
  2. 2.
    Chou, S., Liu, A., Wu, C.: Preventing information leakage within workflows that execute among competing organizations. Journal of Systems and Software 75(1-2), 109–123 (2005)CrossRefGoogle Scholar
  3. 3.
    Reiter, M.K., Rubin, A.D.: Anonymous Web transactions with Crowds. Communication of ACM 42(2), 32–48 (1999)CrossRefGoogle Scholar
  4. 4.
    Agrawal, R., Srikant, R.: Privacy-preserving data mining. ACM SIGMOD Record 29(2), 439–450 (2000)CrossRefGoogle Scholar
  5. 5.
    Hommel, W.: Policy-Based Integration of User and Provider-Sided Identity Management. In: Müller, G. (ed.) ETRICS 2006. LNCS, vol. 3995, pp. 160–174. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  6. 6.
    Agrawal, D., Kesdogan, D., Pham, V., Rautenbach, D.: Fundamental Limits on the Anonymity Provided by the MIX Technique. In: Proceedings of 2006 IEEE Symposium on Security and Privacy (May 2006)Google Scholar
  7. 7.
    Jensen, C., Sarkar, C., Jensen, C., Potts, C.: Tracking Website Data-Collection and Privacy Practices with the iWatch Web Crawler. In: Proceedings of SOUPS (Symposium on Usable Privacy and Security) (July 2007)Google Scholar
  8. 8.
    Krishnamurthy, B., Malandrino, D., Wills, C.E.: Measuring Privacy Loss and the Impact of Privacy Protection in Web Browsing. In: Proceedings of SOUPS (Symposium on Usable Privacy and Security) (July 2007)Google Scholar
  9. 9.
    Clark, J., van Oorschot, P.C., Adams, C.: Usability of Anonymous Web Browsing: An Examination of Tor Interfaces and Deployability. In: Proceedings of SOUPS (Symposium on Usable Privacy and Security) (July 2007)Google Scholar
  10. 10.
    Karger, P.A.: Privacy and Security Threat Analysis of the Federal Employee Personal Identity Verification (PIV) Program. In: Proceedings of SOUPS (Symposium on Usable Privacy and Security (July 2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Seoul Women’s UniversityNowonguKorea

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