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  Published Paper Details:

  Paper Title

PRIVACY-PRESERVING FOR DATA LEAKAGE DETECTION

  Authors

  M.SivaGanesh.,M.E,  C.Sethupathi

  Keywords

Data Leakage Detection

  Abstract


The data from investigate organizations, safety firms and government organizations demonstrate that the numbers of data leak instances have developed rapidly. Among different data leak cases, major causes of data loss are one of the human being mistakes. Present live solutions detect unintentional responsive data leaks caused by human being mistakes and to provide alerts intended for organization. In this system, there a privacy preserving data leak detection solution where a particular set of receptive data digests is used in discovery. Privacy-preserving data-leak detection representation intended for preventing inadvertent data leak in scheme traffic. Such a demonstration yields a powerful and delegatable data-leak detection framework.The cloud computing surroundings the cloud source can perform data leak detection as add on service to its customers. The assessment results show that the detection method can supports accurate detection through very miniature number of false alarms under various data leak scenarios. The benefit of this method is that it enables the data owner to safely hand over the detection operation without enlightening the sensitive data.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2406422

  Paper ID - 263778

  Page Number(s) - d858-d878

  Pubished in - Volume 12 | Issue 6 | June 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  M.SivaGanesh.,M.E,  C.Sethupathi,   "PRIVACY-PRESERVING FOR DATA LEAKAGE DETECTION", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 6, pp.d858-d878, June 2024, Available at :http://www.ijcrt.org/papers/IJCRT2406422.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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