DocumentCode
1966491
Title
Efficient and timely jamming detection in wireless sensor networks
Author
Donggang Liu ; Raymer, J. ; Fox, A.
Author_Institution
Dept. of Comput. Sci. & Eng., Univ. of Texas at Arlington, Arlington, TX, USA
fYear
2012
fDate
8-11 Oct. 2012
Firstpage
335
Lastpage
343
Abstract
Wireless communication is vulnerable to jamming attacks, where an adversary injects strong noise to interfere with the legitimate transmissions. Jamming can easily disrupt a sensor application such as border monitoring. Since the area being jammed often tells the location of adversarial activities, e.g., illegal border crossing, it is critical to detect jamming efficiently and timely. It has been shown that the packet delivery ratio (PDR) is an effective indicator of jamming attacks. However, energy efficiency and detection timeliness are two conflicting requirements in existing PDR-based schemes. This paper proposes a novel jamming detection approach that is both efficient in terms of the additional overhead and timely in terms of the detection latency. The idea is to conduct two-phase detection. The first phase identifies the sign of jamming quickly and efficiently without adding any extra communication or requiring any special hardware or infrastructure. Any sign of jamming will trigger the second phase detection, which performs a short burst of channel probing to make an accurate decision. The benefits of the two-phase approach are analyzed in the paper. In addition, this paper also presents the detailed evaluation via experiments on a network of TelosB motes.
Keywords
jamming; wireless sensor networks; PDR-based schemes; TelosB motes; border monitoring; channel probing; energy efficiency; illegal border crossing; jamming attacks; packet delivery ratio; second phase detection; timely jamming detection approach; two-phase detection; wireless communication; wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Mobile Adhoc and Sensor Systems (MASS), 2012 IEEE 9th International Conference on
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4673-2433-5
Type
conf
DOI
10.1109/MASS.2012.6502533
Filename
6502533
Link To Document