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DLP Systems as a Modern Information Security Control

  • Victor Morozov
  • Natalia Miloslavskaya
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 636)

Abstract

Today, information is one of the most critical and valuable assets for success and prosperity of any company. The complexity of modern organizations and the trend to move to the cloud and outsource are increasing. At the same time the wide range of new ever-growing information security (IS) threats, especially those related to new information, communication and network technologies, services and devices, are all around us. For example, the well-publicized attack on the Sony Playstation Network, resulted in the loss of user names, passwords, addresses, birth dates and financial details of 77 million users and Sony’s financial loss around $171 million (including estimates for customer support costs, legal costs and the impact on future profits), left the online gaming network suspended for weeks in 2011. The importance of using modern protection tools against internal IS threats is proved. The advantages of DLP systems over alternative solutions are disclosed. The principles and technologies underlying the operation of DLP systems are discussed. The architecture, application features and analytical capabilities of the SearchInform Information Security Perimeter (SearchInform) DLP system are described in detail.

Keywords

Data Loss Prevention Information security controls Information protection tools 

Notes

Acknowledgments

This work was supported by the MEPhI Academic Excellence Project (agreement with the Ministry of Education and Science of the Russian Federation of August 27, 2013, project no. 02.a03.21.0005).

References

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    Roebuck, K.: Data loss prevention (DLP), 418 p. Tebbo (2011)Google Scholar
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    Kanagasingham, P.: Data Loss Prevention. SANS Institute (2008). https://www.sans.org/reading-room/whitepapers/dlp/data-loss-prevention-32883. Accessed 3 Jul 2017
  3. 3.
    Vasiliev, V.: DLP systems at the stage of transforming IT to cloud platform. PC Week Review: IT Security, vol. 3, pp. 14–16 (2011). (In Russian)Google Scholar
  4. 4.
    Gartner 2017 Magic Quadrant for Enterprise Data Loss Prevention. https://www.gartner.com/doc/3606038/magic-quadrant-enterprise-data-loss. Accessed 3 Jul 2017

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)MoscowRussia
  2. 2.OOO SearchInformMoscowRussia

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