DocumentCode :
3212609
Title :
Swarm intelligence approach of leaker identification in secure multicast
Author :
Sreelaja, N.K. ; Pai, G. A Vijayalakshmi
Author_Institution :
PSG Coll. of Technol., Coimbatore, India
fYear :
2009
fDate :
9-11 Dec. 2009
Firstpage :
660
Lastpage :
665
Abstract :
Secure multicasting is used in a wide range of multicast applications such as commercial pay-per-view video multicast and pay-per view digital library. The multicast protocol used must be secure with copyright protection to prevent the users from leaking the information. This paper focuses on the problem of leaker identification using a swarm intelligence (Ant Colony Optimization) based approach. Termed Ant Colony Optimized Leaker Identification algorithm (ACOLIA), the novel technique serves to efficiently identify the leaker while overcoming the drawbacks of the existing sequential search method, for leaker identification. Simulation results are shown to prove that the number of comparisons made by the ACOLIA is less when compared to the sequential search method for leaker identification.
Keywords :
multicast protocols; particle swarm optimisation; security of data; video communication; ant colony optimization; commercial pay-per-view video multicast; copyright protection; leaker identification; multicast protocol; pay-per view digital library; secure multicasting; sequential search method; swarm intelligence; Ant colony optimization; Autonomous agents; Copyright protection; Educational institutions; Multicast protocols; Particle swarm optimization; Search methods; Software libraries; Videoconference; Watermarking; Ant Colony Optimization; Leaker Identification; Multicast; Swarm Intelligence; Watermarking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nature & Biologically Inspired Computing, 2009. NaBIC 2009. World Congress on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4244-5053-4
Type :
conf
DOI :
10.1109/NABIC.2009.5393452
Filename :
5393452
Link To Document :
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