DocumentCode :
3280474
Title :
A Hybrid Model of Defense Techniques against Base Station Jamming Attack in Wireless Sensor Networks
Author :
Jain, Sushil Kumar ; Garg, Kumkum
Author_Institution :
Deptt. of Electron. & Comput. Eng., Indian Inst. of Technol., Roorkee, India
fYear :
2009
fDate :
23-25 July 2009
Firstpage :
102
Lastpage :
107
Abstract :
Wireless sensor networks (WSNs) are highly susceptible to jamming attacks due to their resource limitations. In WSN architecture, the Base Station (BS) is a single point of failure, because it collects sensor readings and performs command and control tasks. So BSs are main targets of the jamming attack. For mitigating the effects of BS jamming attacks, we propose a hybrid model of defense, which combines 3 defense techniques. The first technique is BS replication, so in a jamming condition, there may be some unjammed replicated BSs for providing service to the network. The second technique is the evasion of BS from jammed location to any unjammed location. The third technique is multipath routing for providing alternative paths for communication with BS in case of jamming of one or more paths. Through simulation, we show the effects of the hybrid model of defense on the communication traffic throughput of WSNs.
Keywords :
jamming; telecommunication network routing; telecommunication security; telecommunication traffic; wireless sensor networks; BS replication; base station jamming attack; communication traffic throughput; defense techniques; jamming mitigation; multipath routing; wireless sensor networks; Base stations; Command and control systems; Computer crime; Computerized monitoring; Costs; Jamming; Military computing; Routing; Traffic control; Wireless sensor networks; Denial of Service (DoS); Jamming Attack; Multipath Routing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence, Communication Systems and Networks, 2009. CICSYN '09. First International Conference on
Conference_Location :
Indore
Print_ISBN :
978-0-7695-3743-6
Type :
conf
DOI :
10.1109/CICSYN.2009.57
Filename :
5231816
Link To Document :
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