• DocumentCode
    1699702
  • Title

    A Light-Weight Ranger Intrusion Detection System on Wireless Sensor Networks

  • Author

    Hsieh, Chia-Fen ; Huang, Yung-Fa ; Chen, Rung-Ching

  • Author_Institution
    Grad. Inst. of Informatic, Choayang Univ. of Technol., Taichung, Taiwan
  • fYear
    2011
  • Firstpage
    49
  • Lastpage
    52
  • Abstract
    In recent years, a lot of research concerns with the wireless sensor networks (WSN). With the increasing usages of WSN applications such as health care and disaster reporting, security requirements, wireless communication has become more critical. Researchers of intrusion detection system on WSN have suggested that systems´ detecting mechanisms would likely affect their detections effective and lifetime of whole networks. Ontology can collect and organize the attributes of attacks However, those methods have empirically documented the link between ontology concept and light-weight Intrusion Detection System (IDS) is scant. Therefore, the aim of this paper attempts to explore how intrusion detection system about ontology and light-weight IDS are related. The manager constructs relationship of sensor nodes on ontology to detect Sybil attack. Combine light-weight IDS the ranger method to reduce energy consumption and the isolation tables avoid detecting anomaly repeatedly. We proposed a lightweight ontology-based IDS, which improves existence shortcomings of IDS on WSN effectively.
  • Keywords
    ontologies (artificial intelligence); telecommunication computing; telecommunication security; wireless sensor networks; Sybil attack detection; WSN application; disaster reporting; health care; light-weight intrusion detection system; lightweight ontology-based IDS; security requirement; sensor node; wireless communication; wireless sensor network; Base stations; Databases; Intrusion detection; Monitoring; Ontologies; Wireless sensor networks; Intrusion Detection System; Ontology; Sybil Attack; Wireless Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing (ICGEC), 2011 Fifth International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4577-0817-6
  • Electronic_ISBN
    978-0-7695-4449-6
  • Type

    conf

  • DOI
    10.1109/ICGEC.2011.20
  • Filename
    6042715