• DocumentCode
    3185272
  • Title

    Selective forwarding detection (SFD) in wireless sensor networks

  • Author

    Alajmi, Naser M. ; Elleithy, Khaled M.

  • Author_Institution
    Comput. Sci. & Eng. Dept., Univ. of Bridgeport, Bridgeport, CT, USA
  • fYear
    2015
  • fDate
    1-1 May 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Security is the critical subject in wireless sensor networks. Therefore, WSNs are susceptible to several types of security attacks. One reason to attack sensor networks is the limited capacity of sensor nodes. The security attacks could affect the most significant applications in WSNs area such as military surveillance, traffic monitor, and healthcare. Thus, there are different types of detection approaches against security attacks on the network layer in WSNs. Also, there are severe constraints on sensor nodes like reliability, energy efficiency, and scalability, which affect the security in WSNs. Since the sensor nodes have limited capabilities for most of these constraints, a selective forwarding attack is difficult to detect in the networks. Malicious nodes in the selective forwarding attack, work as normal nodes. However, it attempts to find the sensitive messages and drop them before sending the packet to other nodes. In order to keep this type of attacks away from networks, we propose a multi layers approach (SFD) that preserves the safely of data transmission between sensor nodes while detecting the selective forwarding attack. Furthermore, the approach includes reliability, energy efficiency, and scalability.
  • Keywords
    telecommunication network reliability; telecommunication security; wireless sensor networks; SFD; WSN; data transmission; security attacks; selective forwarding detection; wireless sensor networks; Base stations; Computer science; Energy consumption; Monitoring; Watermarking; Wireless sensor networks; Wireless Sensor Networks (WSNs) and Selective Forwarding Attacks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Applications and Technology Conference (LISAT), 2015 IEEE Long Island
  • Conference_Location
    Farmingdale, NY
  • Type

    conf

  • DOI
    10.1109/LISAT.2015.7160207
  • Filename
    7160207