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
Link To Document :
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