DocumentCode
1718783
Title
Mitigating Worm Propagation on Virtual LANs
Author
Rajput, Saeed ; Sun, Xiaoguang ; Hsu, Sam
Author_Institution
Comput. Sci. & Inf. Syst., Nova Southeastern Univ., Ft. Lauderdale, FL
fYear
2006
Firstpage
555
Lastpage
556
Abstract
Recent sophisticated worms have spread faster than the patch distribution. We propose an active defense framework that can defend against widespread by reacting quickly to quarantine infections. We propose deploying a number of detectors in the VLAN network. Using Monte Carlo simulations, we have shown that containment of future epidemics is possible and the probability of containment is a function of number of detectors, and that with our assumptions for worm scanning and infection speed characteristics, less than 2% detectors are enough to bring this probability very close to zero
Keywords
Monte Carlo methods; invasive software; local area networks; virtual private networks; Monte Carlo simulations; infection speed characteristics; patch distribution; virtual LAN; worm propagation; worm scanning; Automatic control; Computer science; Computer security; Computer worms; Detection algorithms; Detectors; Information systems; Internet; Operating systems; Sun;
fLanguage
English
Publisher
ieee
Conference_Titel
Local Computer Networks, Proceedings 2006 31st IEEE Conference on
Conference_Location
Tampa, FL
ISSN
0742-1303
Print_ISBN
1-4244-0418-5
Electronic_ISBN
0742-1303
Type
conf
DOI
10.1109/LCN.2006.322166
Filename
4116613
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