Title :
Statistical wormhole detection and localization in delay tolerant networks
Author :
Thi Ngoc Diep Pham ; Chai Kiat Yeo
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
Abstract :
Delay Tolerant Network (DTN) is a paradigm developed to cope with intermittent connectivity in wireless networks. Wireless networks are vulnerable to a variety of attacks, including wormhole attack. This paper proposes a statistical approach using infrastructure nodes to detect the presence of wormhole and localize the wormhole endpoints placement. The simulation results demonstrate that our mechanism is more effective than the related method called prohibited topology method, especially in high-speed network such as vehicular DTNs. The performance is independent of network density and node transmission range while there is a trade-off in performance when varying parameters namely node pause time and detection threshold.
Keywords :
delay tolerant networks; radio networks; statistical analysis; telecommunication network topology; telecommunication security; delay tolerant networks; high-speed network; infrastructure nodes; intermittent connectivity; prohibited topology method; statistical approach; statistical wormhole detection; wireless networks; wormhole attack; Mobile nodes; Privacy; Routing; Security; Topology; Wireless sensor networks; DTN; neighbor count; statistical; wormhole attack;
Conference_Titel :
Consumer Communications and Networking Conference (CCNC), 2014 IEEE 11th
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4799-2356-4
DOI :
10.1109/CCNC.2014.6866598