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A Novel Approach to Database Intrusion Detection

by Jay Kant Pratap Singh Yadav, Devottam Gaurav
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 169 - Number 10
Year of Publication: 2017
Authors: Jay Kant Pratap Singh Yadav, Devottam Gaurav
10.5120/ijca2017914904

Jay Kant Pratap Singh Yadav, Devottam Gaurav . A Novel Approach to Database Intrusion Detection. International Journal of Computer Applications. 169, 10 ( Jul 2017), 36-45. DOI=10.5120/ijca2017914904

@article{ 10.5120/ijca2017914904,
author = { Jay Kant Pratap Singh Yadav, Devottam Gaurav },
title = { A Novel Approach to Database Intrusion Detection },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2017 },
volume = { 169 },
number = { 10 },
month = { Jul },
year = { 2017 },
issn = { 0975-8887 },
pages = { 36-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume169/number10/28024-2017914904/ },
doi = { 10.5120/ijca2017914904 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:17:05.521029+05:30
%A Jay Kant Pratap Singh Yadav
%A Devottam Gaurav
%T A Novel Approach to Database Intrusion Detection
%J International Journal of Computer Applications
%@ 0975-8887
%V 169
%N 10
%P 36-45
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we propose data mining approach for database intrusion detection. In each database, there are a few attributes or columns or columns that are more important or sensitive to be tracked or sensed for malicious modifications as compared to the other attributes. Our approach concentrates on mining pre-write as well as post-write data dependencies among the important or sensitive data items in relational database. These dependencies are generated in the form of association rules. Any transaction that does not follow these dependency rules are identified as malicious. We also suggest removal of redundant rules in our proposed algorithm to minimize the number of comparisons during detection phase.

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Index Terms

Computer Science
Information Sciences

Keywords

Data Mining Intrusion Detection System Data Dependency Sensitive Attributes.

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