• DocumentCode
    3097415
  • Title

    On intrusion detection of RFID based on chaotic immune clustering model

  • Author

    Yang, Hai-dong ; Guo, Jian-hua ; Zhong, Zheng

  • Author_Institution
    Coll. of Autom. Sci. & Technol., South China Univ. of Technol., Guangzhou, China
  • Volume
    1
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    417
  • Lastpage
    423
  • Abstract
    To solve the security problem that is still an obstacle to the development of Radio Frequency Identification (RFID) technique, this paper proposes a novel security strategy for the intrusion detection of RFID, which is composed of a new approach to extracting the features of RFID´s intrusion and a new technique to detect RFID´s intrusion. The proposed RFID´s intrusion detection technique employs chaotic searching strategy as the operation algorithm of the immune clustering model (ICM) to overcome its immature converge in a small region and develops a so-called chaotic immune clustering model (CICM). The experimental results show that the performance of the proposed security strategy for the intrusion detection of RFID is promising.
  • Keywords
    chaotic communication; radiofrequency identification; telecommunication security; RFID; chaotic immune clustering model; chaotic searching strategy; immature converge; intrusion detection; security strategy; Chaos; Cryptography; Cybernetics; Educational technology; Feature extraction; Immune system; Information security; Intrusion detection; Machine learning; Radiofrequency identification; Immune Clustering Model; Intrusion Detection; Radio Frequency Identification (RFID); Search of Chaotic Strategy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212501
  • Filename
    5212501