DocumentCode :
1622273
Title :
On Estimating the Topology of an Adversarial Wireless Network
Author :
Eckford, Andrew W. ; Hadley, Scott E T
Author_Institution :
Dept. of Comput. Sci. & Eng., York Univ., Toronto, ON
fYear :
2008
Firstpage :
2460
Lastpage :
2465
Abstract :
Owing to recent interest in sensor networks for military and security applications, studies of the security vulnerabilities of these networks are becoming increasingly important. In the present paper, the problem of estimating the topology of an adversarial sensor network is considered. The adversarial network is assumed to employ strong encryption, so that its transmitted packets are assumed to be unreadable by the observer. Thus, the algorithms are required to make use of the time correlations in channel uses by the adversarial network. Assuming the use of the MACA protocol, our algorithms are capable of estimating both the routes used by nodes in the adversarial sensor network, and as the identities of the nodes that are within each other´s neighborhood (i.e., within radio range of each other), so that an attack could be designed for maximum effect. Results are presented which show that route estimation can be accomplished quickly using our algorithm, and that neighborhood estimation can be accomplished in a reasonable amount of time.
Keywords :
protocols; telecommunication network routing; telecommunication network topology; wireless sensor networks; MACA protocol; adversarial wireless network; military application; route estimation; security application; security vulnerabilities; sensor networks; topology estimation; Access protocols; Computer security; Cryptography; Intelligent sensors; Monitoring; Network topology; Peer to peer computing; Relays; Wireless networks; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2008. ICC '08. IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2075-9
Electronic_ISBN :
978-1-4244-2075-9
Type :
conf
DOI :
10.1109/ICC.2008.467
Filename :
4533503
Link To Document :
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