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Survey on Data Leak Detection Algorithms

M.A. Thrupthy1 , J. George2 , S.M. Nisha3 , S. Lemya4

Section:Survey Paper, Product Type: Journal Paper
Volume-4 , Issue-11 , Page no. 116-120, Nov-2016

Online published on Nov 29, 2016

Copyright © M.A. Thrupthy , J. George , S.M. Nisha, S. Lemya . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: M.A. Thrupthy , J. George , S.M. Nisha, S. Lemya , “Survey on Data Leak Detection Algorithms,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.11, pp.116-120, 2016.

MLA Style Citation: M.A. Thrupthy , J. George , S.M. Nisha, S. Lemya "Survey on Data Leak Detection Algorithms." International Journal of Computer Sciences and Engineering 4.11 (2016): 116-120.

APA Style Citation: M.A. Thrupthy , J. George , S.M. Nisha, S. Lemya , (2016). Survey on Data Leak Detection Algorithms. International Journal of Computer Sciences and Engineering, 4(11), 116-120.

BibTex Style Citation:
@article{Thrupthy_2016,
author = {M.A. Thrupthy , J. George , S.M. Nisha, S. Lemya },
title = {Survey on Data Leak Detection Algorithms},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2016},
volume = {4},
Issue = {11},
month = {11},
year = {2016},
issn = {2347-2693},
pages = {116-120},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1118},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1118
TI - Survey on Data Leak Detection Algorithms
T2 - International Journal of Computer Sciences and Engineering
AU - M.A. Thrupthy , J. George , S.M. Nisha, S. Lemya
PY - 2016
DA - 2016/11/29
PB - IJCSE, Indore, INDIA
SP - 116-120
IS - 11
VL - 4
SN - 2347-2693
ER -

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Abstract

The data leak detection plays a major role in organizational industry. The data leak poses serious threat to online social Medias, sensitive datas and so on. We take two papers for this survey. Both of them belong to the area of information forensic and security. In first survey, paper develops a model [PPDLD] the model is based on fuzzy finger print method. The goal of this paper is to generate special type of digest is called fuzzy fingerprint. Rabin finger print algorithm is introduced here just for sampling. A filtering method is used during the digestion process. In second survey, paper deals the fast detection of transformed data leak. This paper suggests a preserving method based on alignment algorithm. The paper aim to detect long and inexact leak patterns from sensitive data and network. Detection is based on comparable sampling algorithm.

Key-Words / Index Term

Leak Detection; Fuzzy finger print random generation; Rabin karp algorithm; Subsequence preserving; Alignment algorithm

References

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