A Study of Neural Networks based Blackhole Attack Protection in WSNs
Keywords:
Blackhole, Selective jamming, TDMAAbstract
A Wireless Sensor Network (WSN) is a collection of sensor nodes, which builds up a network using radio communication in an autonomous. This spoofing technique can be executed using blackhole or sinkhole attacks, which are used to fetch the streams of data leading to cluster heads or base stations usually. In this paper, we are addressing the issue of a variant of DDoS attack: Selective-Jamming Attack as TDMA is prone to a particularly insidious form of jamming attack, namely Selective Jamming (SJ).
References
[1] Marco Tiloca, Domenico De Guglielmo, GianlucaDini and Giuseppe Anastasi, “SAD-SJ: a Self-Adaptive Decentralized solution against Selective Jamming attack in Wireless Sensor Networks”, ETFA, vol. 18, pp. 1-8, IEEE,2013.
[2] Md. MonzurMorshed, Md. Rafiqul Islam, “CBSRP: Cluster Based Secure Routing Protocol”, IACC, vol. 3, pp. 571-576, IEEE,2013.
[3] Patrice Seuwou, Dilip Patel, Dave Protheroe, George Ubakanma “Effective Security as an ill-defined Problem in Vehicular Ad hoc Networks (VANETs)”.
[4] Muhammad A. Javed and Jamil Y. Khan “A Geocasting Technique in an IEEE802.11p based Vehicular Ad hoc Network for Road Traffic Management”.(2010).
[5] Chia-Chen Hung, Hope Chan, and Eric Hsiao-Kuang Wu “Mobility Pattern Aware Routing for Heterogeneous Vehicular Networks”( IEEE WCNC 2008).
[6] JoãoA. Dias, João N. Isento, Vasco N. G. J. Soares, FaridFarahmand, and Joel J. P. C. Rodrigues “Testbed-based Performance Evaluation of Routing Protocols for Vehicular Delay-Tolerant Networks” (2011IEEE).
[7] Steffen Moser, Simon Eckert and Frank Slomka “An Approach for the Integration of Smart Antennas in the Design and Simulation of Vehicular Ad-Hoc Networks” 2012 IEEE.
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