• DocumentCode
    120589
  • Title

    A reactive approach for detection of collusion attacks in P2P trust and reputation systems

  • Author

    Saini, Nitin Kumar ; Sihag, V.K. ; Yadav, Ramesh Chand

  • Author_Institution
    Central Univ. of Rajasthan, Ajmer, India
  • fYear
    2014
  • fDate
    21-22 Feb. 2014
  • Firstpage
    312
  • Lastpage
    317
  • Abstract
    Internet today is also a medium of sharing immeasurable amount of information for widespread Peer to Peer (P2P) environments. Various application domains such as file sharing, distributed computing and e community based applications adopted the P2P technology as underlying network structure. A fairly open structure of P2P network applications, also make peers exposed. Interaction with unfamiliar peer in the absence of a trusted third party makes them vulnerable to potential attacks. To enable a reliable communication among peers, trust and reputation mechanisms came into existence. Malicious behavior of peer itself within the network, make reputation system themselves as vulnerable to attacks. Malicious peers often collude to procure a collective objective. The paper reviews existing collusion attacks. It also proposes a reactive defense mechanism against such collusion attacks. The proposed mechanism, detects collusion based on underlying trust and reputation knowledge. It also provides a reduction mechanism to chastise colluded peers.
  • Keywords
    Internet; peer-to-peer computing; security of data; trusted computing; Internet; P2P reputation systems; P2P trust systems; colluded peers; collusion attack detection; malicious peers; peer to peer environments; reactive defense mechanism; Computational modeling; Computer architecture; Conferences; Electronic mail; Peer-to-peer computing; Quality of service; Servers; Collusion; Identity; P2P; Peer; Reputation; Trust;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advance Computing Conference (IACC), 2014 IEEE International
  • Conference_Location
    Gurgaon
  • Print_ISBN
    978-1-4799-2571-1
  • Type

    conf

  • DOI
    10.1109/IAdCC.2014.6779340
  • Filename
    6779340