Research Article
An OS Integrity Measurement System based on Epidemiology
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 24 - Issue 9 |
| Published: June 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 },
year = { 2011 },
volume = { 24 },
number = { 9 },
pages = { 15-18 },
doi = { 10.5120/2988-3985 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2011
%A K. Venugopal Dasarathy
%A Samuya Hegde
%A Radhesh Mohandas
%T An OS Integrity Measurement System based on Epidemiology%T
%J International Journal of Computer Applications
%V 24
%N 9
%P 15-18
%R 10.5120/2988-3985
%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
- Lora Billings, William M. Spears, Ira B. Schwartz “A unified prediction of computer virus spread in connected networks” Physics Letters A 297(2002) 261-266J
- J. Kephart, S. White, in: Proceedings of the 1991 IEEE Computer Society Symposium on Research in Security and Privacy, 1991, pp. 343–359.
- N. Bailey, The Mathematical Theory of Infectious Diseases and Its Applications, Oxford University Press, New York, 1975.
- Allen W.H., Ford R. , ” How Not to Be Seen II: The Defenders Fight Back” Security & Privacy, IEEE, Nov.-Dec. 2007,pp. 65- 68
- Y.-M. Wang et al., "Detecting Stealth Software with Strider GhostBuster," Proc. IEEE Int"l Conf. Dependable Systems and Networks (DSN 05), IEEE CS Press, 2005, pp. 368–377.
- James Butler and Sherri Sparks. “Shadow walker: Rasing the bar for windows rootkit detection.” In Phrack 63, July 2005.
- Mihai Christodorescu, Somesh Jha, Sanjit Seshia, Dawn Song, and Randal Bryant. “Semantics-aware malware detection.” In Proceedings of the 2005 IEEE Security and Privacy Conference, 2005.
- James Butler and Greg Hoglund. “VICE–catch the hookers!” In BlackHat USA, July 2004. ttp://www.blackhat.com/presentations/bh-usa-04/ bh-us-04-butler/bh-us-04-butler.pdf
- Joanna Rutkowska. “System virginity verifier: Defining the roadmap for malware detection on windows systems.” In Hack In The Box Security Conference, September 2005
- J. O. Kephart, S. R. White and D. M. Chess. “Computers and Epidemiology”. IEEE Spectrum, 20-26. May 1993.
Index Terms
Keywords