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
Link To Document :
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