DocumentCode :
2999075
Title :
An Investigation Towards Worms Detection Approaches over Network
Author :
Anbar, Mohammed ; Manasrah, Ahmed
Author_Institution :
Nat. Adv. IPv6 Centre of Excellence (NAV6), Univ. Sains Malaysia, Minden, Malaysia
fYear :
2011
fDate :
March 30 2011-April 1 2011
Firstpage :
266
Lastpage :
269
Abstract :
Nowadays, worms and other outside threats in the network recognized to be a serious and unexpected behavior. The main issue was addressed based on the behavioral patterns of worms that reflect application communications typical of worms. This representation of worm´s behavior differs from those used in contemporary enterprise postures, which reliance on a particular type of signature-based intrusion detection and the behavioral detection approach contrasts from this form of signature-based detection. Thus, this paper introduced the traditional worm´s detection approaches. Meanwhile, the paper suggested a worm detection approach based on worm behaviors that consist on network scanning detection approach, network worm´s correlation approach, and signature correlation approach.
Keywords :
computer network security; invasive software; network scanning detection; network worm correlation; signature correlation; worm behavior; worms detection; Accuracy; Algorithm design and analysis; Artificial neural networks; Computers; Correlation; Grippers; Internet; IDS; Signature detection; Worm´s detection approach; correlation approach;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Modelling and Simulation (UKSim), 2011 UkSim 13th International Conference on
Conference_Location :
Cambridge
Print_ISBN :
978-1-61284-705-4
Electronic_ISBN :
978-0-7695-4376-5
Type :
conf
DOI :
10.1109/UKSIM.2011.57
Filename :
5754246
Link To Document :
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