DocumentCode :
1949779
Title :
SAD-SJ: A self-adaptive decentralized solution against Selective Jamming attack in Wireless Sensor Networks
Author :
Tiloca, Marco ; De Guglielmo, Domenico ; Dini, G. ; Anastasi, Giuseppe
Author_Institution :
Dept. of Inf. Eng., Univ. of Pisa, Pisa, Italy
fYear :
2013
fDate :
10-13 Sept. 2013
Firstpage :
1
Lastpage :
8
Abstract :
Wireless Sensor Networks (WSNs) are currently used in many application scenarios, including industrial applications and factory automation. In such scenarios, Time Division Multiple Access (TDMA) is typically used for data communication among sensor nodes. However, TDMA-based WSNs are particularly prone to Selective Jamming attack, a specific form of Denial of Service attack aimed at severely thwarting network reliability. In this paper, we present SAD-SJ, a self-adaptive and decentralized MAC-layer solution against selective jamming in TDMA-based WSNs. SAD-SJ does not need a central entity, requires sensor nodes to rely only on local information, and allows them to join and leave the network without hindering other nodes activity. We show that SAD-SJ introduces a limited overhead, in terms of computation, communication and energy consumption.
Keywords :
access protocols; telecommunication network reliability; telecommunication security; time division multiple access; wireless sensor networks; MAC layer; SAD-SJ; TDMA; WSN; data communication; denial of service attack; factory automation; industrial applications; network reliability; self-adaptive decentralized solution against selective jamming attack; time division multiple access; wireless sensor networks; Energy consumption; Jamming; Resource management; Robot sensing systems; Time division multiple access; Vectors; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Technologies & Factory Automation (ETFA), 2013 IEEE 18th Conference on
Conference_Location :
Cagliari
ISSN :
1946-0740
Print_ISBN :
978-1-4799-0862-2
Type :
conf
DOI :
10.1109/ETFA.2013.6648037
Filename :
6648037
Link To Document :
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