• DocumentCode
    3121507
  • Title

    Optimization of encryption technique using evolutionary algorithm for protecting multimedia contents in P2P system

  • Author

    Shahabadkar, Ramesh ; Pujeri, Ramachandra V.

  • Author_Institution
    Anna Univ., Chennai, India
  • fYear
    2013
  • fDate
    4-6 July 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    With the growth of usage of file sharing applications over internet, Peer-to-Peer (P2P) networking system has recently drawn attentions of the researchers for various causes right from QoS issues to Security flaws. Due to absence of any centralized administrative management in P2P system, the network becomes highly vulnerable for various types of attacks. Therefore, the current paper discusses about a novel technique that uses recurrence relation to generate number of encryption version of the multimedia content, which is further more strengthened using optimization technique. Evolutionary Algorithm is considered for optimizing the encryption process. The accomplished results are finally evaluated with respect to correlation coefficient among the adjacent pixels, key analysis, and highest entropy of frames.
  • Keywords
    Internet; cryptography; evolutionary computation; multimedia communication; optimisation; peer-to-peer computing; quality of service; Internet; P2P system; QoS issues; adjacent pixels; correlation coefficient; encryption technique optimization; evolutionary algorithm; file sharing applications; frame highest entropy; key analysis; multimedia content protection; peer-to-peer networking system; recurrence relation; security flaws; Encryption; Multimedia communication; Peer-to-peer computing; Sociology; Statistics; Streaming media; Evolutionary Algorithm; Multimedia Security; P2P Network; Recurrence Relation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communications and Networking Technologies (ICCCNT),2013 Fourth International Conference on
  • Conference_Location
    Tiruchengode
  • Print_ISBN
    978-1-4799-3925-1
  • Type

    conf

  • DOI
    10.1109/ICCCNT.2013.6726525
  • Filename
    6726525