This paper is published in Volume 2, Issue 4, 2017
Area
Others
Author
Mayuri Fokmare
Co-authors
Prof. Nilima Nikam, Priyanka Palve, Smita Halde
Org/Univ
Yadavrao Tasgaonkar Institute of Engineering & Technology, India
Pub. Date
12 April, 2017
Paper ID
V2I4-1159
Publisher
Keywords
Distribution Model, Data Leakage Prevention , Information Security.

Citationsacebook

IEEE
Mayuri Fokmare, Prof. Nilima Nikam, Priyanka Palve, Smita Halde. Data Leakage Prevention, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARnD.com.

APA
Mayuri Fokmare, Prof. Nilima Nikam, Priyanka Palve, Smita Halde (2017). Data Leakage Prevention. International Journal of Advance Research, Ideas and Innovations in Technology, 2(4) www.IJARnD.com.

MLA
Mayuri Fokmare, Prof. Nilima Nikam, Priyanka Palve, Smita Halde. "Data Leakage Prevention." International Journal of Advance Research, Ideas and Innovations in Technology 2.4 (2017). www.IJARnD.com.

Abstract

This paper explores the issue of data leakage detection. The unauthorized person transfers some important data to unknown person or outside the world from organization record. We developed data leakage detection software to overcome the important data leakage from organization. Data leakage detection is strategy for making sure that users do not send sensitive data or information to outside the world. In the organization, sometimes sensitive data must be handed over to trusted third parties from a user (guilty user). Distributor can easily accessible all information about guilty user for example: which file shares to fake agent from organization data records and there details etc. The main goal of the software is identify data leakages using some data allocation strategies and find out the fake agent and users who leak the important data. Data leakage prevention software also provides the essential security to data.
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