• DocumentCode
    146583
  • Title

    Enhanced lightweight sybil attack detection technique

  • Author

    Sharma, Himani ; Garg, Radhika

  • Author_Institution
    Deptt of IT, Panjab Univ., Chandigarh, India
  • fYear
    2014
  • fDate
    25-26 Sept. 2014
  • Firstpage
    476
  • Lastpage
    481
  • Abstract
    Mobile Ad hoc network comprises of many nodes which interact with each other through wireless links. It is infrastructure less in nature, due to which attackers can easily attack on the network from any side. There are many attacks which ruin the communication among the nodes of network. Among those attacks there is a Sybil attack that causes severe hazards to the network. Sybil attack is an attack which uses many identities at a time or one identity at a time. The identities used by Sybil attackers are either created by it or uses someone else´s identity. This attack can decrease the trust of any legitimate node by using identity of that node and accumulate the secret or important data. Sybil attackers distribute secret data in other networks and it reduces the secrecy of network. In this way, Sybil attackers cause immeasurable loss to a network. In this research, Enhanced lightweight Sybil attack detection technique is discussed which is used to detect Sybil attack. Tool used for simulation is MATLAB.
  • Keywords
    mobile ad hoc networks; radio links; telecommunication security; MATLAB simulation; enhanced lightweight Sybil attack detection technique; mobile ad hoc network; network hazards; node interaction; secret data distribution; wireless links; Abstracts; Application specific integrated circuits; Digital signal processing; Field programmable gate arrays; Narrowband; Radio frequency; Wideband; MANET; Mobile ad hoc network; RSS; Received Signal Strength; UB: Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Confluence The Next Generation Information Technology Summit (Confluence), 2014 5th International Conference -
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-4237-4
  • Type

    conf

  • DOI
    10.1109/CONFLUENCE.2014.6949365
  • Filename
    6949365