NDLI: Anting: An Adaptive Scanning Method for Computer Worms

Content Provider	IEEE Xplore Digital Library
Author	Yi Tang Xiangning Dong
Copyright Year	2006
Description	Author affiliation: Dept. of Inf. Sci., Guangzhou Univ. (Yi Tang; Xiangning Dong)
Abstract	Computer worms can self-propagate over a network and are becoming a critical risk to the network based applications. To propagate over the network, the worms need to scan many IP addresses to find vulnerable hosts. This paper addresses the worm scanning strategies with subsidiary information. Inspired by the natural ants, we propose an adaptive scanning method, named Anting, for worms. To perform focused scanning on the parts of most clustered vulnerable systems, each worm record some scanning results to help deciding its next scanning direction. The new born worms can also inherit those results from its parent worms. Each worm decides its scanning direction on its local estimation to the densities of reachable addresses or vulnerable hosts in different parts of subspaces. The simple individual behaviors of worms are aggregated as a collective behavior in global to perform efficient scanning. We argue that this scanning method is more efficient when the vulnerable hosts are not uniformly distributed. We also conduct some simulated experiments to validate this method
Sponsorship	IEEE Comput. Soc. WIC ACM
Starting Page	926
Ending Page	932
File Size	396385
Page Count	7
File Format	PDF
ISBN	0769527477
DOI	10.1109/WI.2006.42
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Information science Computer worms Computational modeling Computer simulation Operating systems Laboratories Information security Internet Application software Web server
Content Type	Text
Resource Type	Article

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