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Curve Fitting Analysis of Internet Traffic Sharing Management in Computer Network under Cyber Crime

by Diwakar Shukla, Kapil Verma, Shree Bhagwat, Sharad Gangele
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 47 - Number 24
Year of Publication: 2012
Authors: Diwakar Shukla, Kapil Verma, Shree Bhagwat, Sharad Gangele
10.5120/7507-0623

Diwakar Shukla, Kapil Verma, Shree Bhagwat, Sharad Gangele . Curve Fitting Analysis of Internet Traffic Sharing Management in Computer Network under Cyber Crime. International Journal of Computer Applications. 47, 24 ( June 2012), 36-43. DOI=10.5120/7507-0623

@article{ 10.5120/7507-0623,
author = { Diwakar Shukla, Kapil Verma, Shree Bhagwat, Sharad Gangele },
title = { Curve Fitting Analysis of Internet Traffic Sharing Management in Computer Network under Cyber Crime },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 47 },
number = { 24 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 36-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume47/number24/7507-0623/ },
doi = { 10.5120/7507-0623 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:42:44.619968+05:30
%A Diwakar Shukla
%A Kapil Verma
%A Shree Bhagwat
%A Sharad Gangele
%T Curve Fitting Analysis of Internet Traffic Sharing Management in Computer Network under Cyber Crime
%J International Journal of Computer Applications
%@ 0975-8887
%V 47
%N 24
%P 36-43
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cyber crime is growing fast day-by-day through the spreading of Internet around the world. Many under-developed countries are using dial-up-setup network where a call is connected only after a little extra effort. Some identified cyber crimes are writing abusive letters, giving threats to other, sending unwanted mails, hacking secret data, phishing attack on websites etc. The Internet traffic growth has some positive correlation with the cyber crime as justified by the Markov Chain Model based analysis of authors to examine the interrelationship between traffic sharing and blocking probability. This analysis has been extended for two-call basis also and model based relations are derived. These relations are complicated in terms of mathematical structure. This paper presents least square based curve analysis for Markov Chain model based relationship between traffic sharing and network blocking. The earlier suggested complicated relationship has been simplified in the form of straight line showing a good fitting. The Coefficient of determination has been computed showing the high value towards unity. It proves that simplified linear relationships perform well as a thumb rule for expressing the complex relationship between traffic sharing and network blocking probability.

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Index Terms

Computer Science
Information Sciences

Keywords

User Behavior Transition Probability Matrix (tpm) Markov Chain Model (mcm) Coefficient Of Determination (cod) Confidence Interval

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