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An OS Integrity Measurement System based on Epidemiology

by K. Venugopal Dasarathy, Samuya Hegde, Radhesh Mohandas
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 24 - Number 9
Year of Publication: 2011
Authors: K. Venugopal Dasarathy, Samuya Hegde, Radhesh Mohandas
10.5120/2988-3985

K. Venugopal Dasarathy, Samuya Hegde, Radhesh Mohandas . An OS Integrity Measurement System based on Epidemiology. International Journal of Computer Applications. 24, 9 ( June 2011), 15-18. DOI=10.5120/2988-3985

@article{ 10.5120/2988-3985,
author = { K. Venugopal Dasarathy, Samuya Hegde, Radhesh Mohandas },
title = { An OS Integrity Measurement System based on Epidemiology },
journal = { International Journal of Computer Applications },
issue_date = { June 2011 },
volume = { 24 },
number = { 9 },
month = { June },
year = { 2011 },
issn = { 0975-8887 },
pages = { 15-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume24/number9/2988-3985/ },
doi = { 10.5120/2988-3985 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:10:31.507803+05:30
%A K. Venugopal Dasarathy
%A Samuya Hegde
%A Radhesh Mohandas
%T An OS Integrity Measurement System based on Epidemiology
%J International Journal of Computer Applications
%@ 0975-8887
%V 24
%N 9
%P 15-18
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Consider an analogy when dealing with human diseases, when a person discovers something different happening to him/her, a common course of action is to know if others have experienced the same thing. In this paper we propose a design for an integrity system for a connected network that attempts to measure the degree of infection of a system on the network using an epidemiological model. Furthermore we present the outcome of simulations that model the process of infection over a network and show how the infectiousness degree of a program varies with parameter values of the model.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Malware rootkits epidemiology

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