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Reseach Article

An Approach to Understand the End User Behavior through Log Analysis

by Bhola Nath Roy, Deepak Singh Tomar, Nikhil Kumar Singh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 5 - Number 11
Year of Publication: 2010
Authors: Bhola Nath Roy, Deepak Singh Tomar, Nikhil Kumar Singh
10.5120/953-1330

Bhola Nath Roy, Deepak Singh Tomar, Nikhil Kumar Singh . An Approach to Understand the End User Behavior through Log Analysis. International Journal of Computer Applications. 5, 11 ( August 2010), 27-34. DOI=10.5120/953-1330

@article{ 10.5120/953-1330,
author = { Bhola Nath Roy, Deepak Singh Tomar, Nikhil Kumar Singh },
title = { An Approach to Understand the End User Behavior through Log Analysis },
journal = { International Journal of Computer Applications },
issue_date = { August 2010 },
volume = { 5 },
number = { 11 },
month = { August },
year = { 2010 },
issn = { 0975-8887 },
pages = { 27-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume5/number11/953-1330/ },
doi = { 10.5120/953-1330 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:54:02.532697+05:30
%A Bhola Nath Roy
%A Deepak Singh Tomar
%A Nikhil Kumar Singh
%T An Approach to Understand the End User Behavior through Log Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 5
%N 11
%P 27-34
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Categorizing the end user in the web environment is a mind-numbing task. Huge amount of operational data is generated when end user interacts in web environment. This generated operational data is stored in various logs and may be useful source of capturing the end user activates. Pointing out the suspicious user in a web environment is a challenging task. To conduct efficient investigation in cyber space the available logs should be correlated. In this paper a prototype system is developed and implemented which is based on relational algebra to build the chain of evidence. The prototype system is used to preprocess the real generated data from logs and classify the suspicious user based on decision tree. At last various challenges in the logs managements are presented.

References
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Index Terms

Computer Science
Information Sciences

Keywords

cyber forensic log file correlation decision tree chain of evidence cyber crime