DocumentCode :
1782789
Title :
Uncooperative localization improves attack performance in Underwater Acoustic Networks
Author :
Xiaoyan Lu ; Zuba, Michael ; Jun-Hong Cui ; Zhijie Shi
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Connecticut, Storrs, CT, USA
fYear :
2014
fDate :
29-31 Oct. 2014
Firstpage :
454
Lastpage :
462
Abstract :
Underwater Acoustic Networks (UANs) have become a focus of interest for emerging scientific research and military applications. Recent work has shown that performance of existing security attacks are sensitive to network topology. In this paper, we utilize the mobility of Autonomous Underwater Vehicles (AUVs) to discover the topology of UANs by monitoring the broadcast patterns of geographic routing protocols. In this way, a mobile attacker can take advantage of the geographic information used in UANs to improve attack performance. We evaluate our approach in Aqua-Sim and results show that attack performance of jamming is significantly improved.
Keywords :
autonomous underwater vehicles; routing protocols; telecommunication network topology; telecommunication security; underwater acoustic communication; AUVs; Aqua-Sim approach; UANs; attack performance; autonomous underwater vehicles; broadcast pattern monitoring; geographic information; geographic routing protocols; jamming; mobile attacker; network topology; security attacks; uncooperative localization; underwater acoustic networks; Artificial neural networks; Irrigation; Logic gates; Mobile communication; Monitoring; Localization; Network Discovery; Security; Underwater Acoustic Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Network Security (CNS), 2014 IEEE Conference on
Conference_Location :
San Francisco, CA
Type :
conf
DOI :
10.1109/CNS.2014.6997515
Filename :
6997515
Link To Document :
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