• DocumentCode
    595740
  • Title

    BEAMS: Battery Exhaustion Anomaly Monitoring System model in SENSORNET

  • Author

    Bhattasali, Tapalina ; Chaki, Rituparna

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Calcutta, Kolkata, India
  • fYear
    2012
  • fDate
    18-21 Dec. 2012
  • Firstpage
    709
  • Lastpage
    713
  • Abstract
    Wireless Sensor Network (SENSORNET) is vulnerable to various security threats due to its deployment in open and hostile environment. Fast battery exhaustion of sensor nodes in SENSORNET is a challenging issue because it shortens the normal lifetime of sensor network. Affected nodes give rise to denial of service that resists to get the objective of SENSORNET in real life. In this paper, Battery Exhaustion Anomaly Monitoring System (BEAMS) model based on Absorbing Markov Chain (AMC) is proposed to detect battery exhaustion attack in SENSORNET. A mathematical model is considered to analyze whether SENSORNET is affected by battery exhaustion attack.
  • Keywords
    computer network security; wireless sensor networks; BEAMS; SENSORNET; battery exhaustion anomaly monitoring system; battery exhaustion attack; denial of service; security threats; wireless sensor network; Batteries; Intrusion detection; Markov processes; Mathematical model; Monitoring; Wireless sensor networks; AMC; BEAMS; Battery Exhaustion; Denial of Service; SENSORNET;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensing Technology (ICST), 2012 Sixth International Conference on
  • Conference_Location
    Kolkata
  • ISSN
    2156-8065
  • Print_ISBN
    978-1-4673-2246-1
  • Type

    conf

  • DOI
    10.1109/ICSensT.2012.6461770
  • Filename
    6461770