DocumentCode :
3142736
Title :
Adaptive network management for countering selective capture in wireless sensor networks
Author :
Al-Hamadi, Hussam ; Ing-Ray Chen
Author_Institution :
Virginia Tech, Blacksburg, VA, USA
fYear :
2013
fDate :
14-18 Oct. 2013
Firstpage :
203
Lastpage :
210
Abstract :
We propose and analyze adaptive network management for countering selective capture which aims to compromise critical sensor nodes close to the base station in a wireless sensor network (WSN) to block data delivery. We consider 3 countermeasures in the protocol design: (1) dynamic radio range adjustment; (2) multisource multipath routing for intrusion tolerance; and (3) voting-based intrusion detection. We identify the best protocol settings in terms of the best redundancy level used for multisource multipath routing, and the best number of voters and the intrusion invocation interval used for intrusion detection under which the lifetime of a WSN is maximized in the presence of selective capture which turns nodes into malicious nodes capable of performing packet dropping attacks and bad-mouthing attacks.
Keywords :
protocols; security of data; telecommunication network management; telecommunication security; wireless sensor networks; adaptive network management; bad-mouthing attacks; base station; critical sensor nodes; data delivery; dynamic radio range adjustment; intrusion invocation interval; intrusion tolerance; malicious nodes; multisource multipath routing; packet dropping attacks; protocol design; protocol settings; redundancy level; selective capture; voting-based intrusion detection; wireless sensor networks; Equations; Intrusion detection; Peer-to-peer computing; Redundancy; Routing; Tin; Wireless sensor networks; Wireless sensor networks; intrusion detection; lifetime maximization; multipath routing; selective capture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network and Service Management (CNSM), 2013 9th International Conference on
Conference_Location :
Zurich
Type :
conf
DOI :
10.1109/CNSM.2013.6727838
Filename :
6727838
Link To Document :
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