Distributed Attack Detection For Wireless Sensor Networks

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    Wireless sensor network when data are transmitting between devices may cyber attackers interfere and try to hack the data,   In order to avoid attackers we are proposing fusion center monitoring, which finding the attackers and communicating the   information to cluster head. Through cooperative detection method fusion head is alarming the neighbor nodes to avoid the   congestion. This proposed methodology is enhanced prevent the deduction for attack in wireless sensor networks.

     

     

     


  • Keywords


    WSN, fusion center, attack, throughput

  • References


      [1] D. Estrin, L. Girod, G. Potties, and M. Srivastava, Incrementing the world with wireless sensor networks, in Proc. IEEE Int. Conf. Acoust., Speech Signal Process. (ICASSP), Salt Lake City, UT, United States, 7-11 May 2001.

      [2] O. Songhwai, C. Phoebus, M. Michael, M. Srivastava, and S. Shankar, Instrumenting Wireless Sensor Networks for real-time Surveillance, in Proc. of the International Conference on Robotics and Automation (ICRA), May 2006

      [3] L. Zhang, G. Ding, Q. Wu, Y. Zou, Z. Han, and J. Wang, “Byzantine Attack and Defense in Cognitive Radio Networks: A Survey”, IEEE Communications Surveys & Tutorials, vol. 17, no. 3, pp. 1342-1363, third quarter 2015..

      [4] P. K. Varshney, Distributed Detection and Data Fusion. New York: Springer, 1997.

      [5] J. N. Tsitsiklis, “Decentralized detection,” in Advances in Signal Processing, H. V. Poor and J. B. Thomas, Eds. New York: JAI, 1993, vol. 2, pp. 297-344.

      [6] E. Nurellari, D. McLernon and M. Ghogho, “Distributed Two- Step Quantized Fusion Rules Via Consensus Algorithm for Distributed Detection in Wireless Sensor Networks,” in IEEE Transactions on Signal and Information Processing over Networks,

      [7] vol. 2, no. 3, pp. 321-335, Sept. 2016.

      [8] Ribeiro and G. B. Giannakis, “Bandwidth-constrained distributed estimation for wireless sensor networks, part I: Gaussian case,” IEEE Transactions on Signal Processing, vol. 54, no. 3, pp.1131-1143, 2006.

      [9] E. Nurellari, D. McLernon, M. Ghogho and S. Aldalahmeh, “Optimal quantization and power allocation for energy-based distributed sensor detection,” Proc. EUSIPCO, Lisbon, Portugal, 1-5 Sept. 2014.


 

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Article ID: 28567
 
DOI: 10.14419/ijet.v7i4.6.28567




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