DATA LINEAGE IN MALICIOUS ENVIRONMENTS

Authors

  • Mrs. Nilima Dheeraj Patil, Department of Computer Engineering, Sinhgad Institute of Technology, Lonavala, Pune
  • Prof. N.P.Karlekar Department of Computer Engineering, Sinhgad Institute of Technology, Lonavala, Pune

Keywords:

Data Leakage Prevention,, Data Privacy Leakage Model Watermarking,, Data Leakage Protection, Data Loss Prevention.

Abstract

In this paper cover Data Lineage in Malicious Environment. A data provider has given precise data to a set of supposedly trusted node protocol. Some of the data are leaked and found in an unjustified place. The provider must assess the nearest that the crevice data came from one or more node protocol, as opposed to having been individually fetch by other terms. We propose data allocation strategies that improve theprobability of identifying crevices. These methods do not build on alterations of the released data. In some cases, we can also implant “realistic but wrong andthreaten data” data records to further improve our chances of detecting crevice and identifying the guilty party. While sending data over the network there is lots of illegitimate user trying to get useful information.

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Published

2021-03-27

Issue

2016: ICCCES

Section

Articles

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