• DocumentCode
    1913483
  • Title

    Detection and mitigation of false data injection in cooperative communications

  • Author

    Sang Wu Kim

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
  • fYear
    2015
  • fDate
    June 28 2015-July 1 2015
  • Firstpage
    321
  • Lastpage
    325
  • Abstract
    We propose a likelihood ratio based physical-layer technique for detecting and mitigating the false data injection attack in cooperative communication systems. We present the optimum detection method that minimizes the end-to-end outage probability and the minmax detection method that minimizes the maximum possible outage probability under unknown attack probability. We show that the optimum detection technique can provide almost the same end-to-end outage probability that can be provided by the ideal cryptographic technique that perfectly detects the false injection at the expense of high computational cost and bandwidth overhead. The proposed solution can be used as an additional layer of protection or can complement to the conventional cryptographic techniques.
  • Keywords
    cooperative communication; cryptography; minimax techniques; probability; telecommunication network reliability; telecommunication security; cooperative communication; cryptographic technique; end-to-end outage probability; end-to-end outage probability minimization; false data injection detection; false data injection mitigation; likelihood ratio based physical layer technique; minmax detection method; optimum detection method; Access control; Cryptography; Generators; Indexes; Relays; Reliability; Simulation; False data injection; cooperative communications; likelihood ratio detection; minmax detection; optimum detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Advances in Wireless Communications (SPAWC), 2015 IEEE 16th International Workshop on
  • Conference_Location
    Stockholm
  • Type

    conf

  • DOI
    10.1109/SPAWC.2015.7227052
  • Filename
    7227052