COLLUSIVE PIRACY PREVENTION IN P2P CONTENT DELIVERY NETWORKS PDF

Paid clients (colluders) may illegally share copyrighted content files with unpaid clients (pirates). Such online piracy has hindered the use of open P2P networks. Request PDF on ResearchGate | Collusive Piracy Prevention in P2P Content Delivery Networks | Collusive piracy is the main source of. Collusive Piracy Prevention in. P2P Content Delivery Networks. Source: IEEE Transactions on Computers, vol. 58, no. 7, pp. , Authors: Xiaosong .

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Datar M, Motwani R The sliding-window computation model and results. Bellare M, Namprempre C et al Security proofs for identity-based identification and signature schemes. Yoshida M, Ohzahata S et al. Peer-to-peer Search for additional papers on this topic.

Comput Netw 56 3: Semantic Scholar estimates that this publication has 58 citations based on the available data. Showing of 33 references. Regular Paper First Online: Then, a probabilistic netorks with content feedback model to fast discover and quantify the probabilistic follow relationship is further developed, and then, the corresponding approach to piracy prevention is designed.

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Internet Math 1 4: Exploring probabilistic follow relationship to prevent collusive peer-to-peer piracy. KretthikaVinutha YadavDr. Skip to search form Skip to main content. The Gnutella Protocol Spec. Stat Comput 17 4: This paper has 58 citations. Paid clients colluders may illegally share copyrighted content files with unpaid clients pirates.

Collusive Piracy Prevention in P2P Content Delivery Networks – Semantic Scholar

Proceedings of the 28th ACM international conference on human factors in computing systems, pp — Google Scholar. Policy Internet 3 networrks A Tour of Media-Defender.

J Inf Process 20 2: IEEE Multimed 18 1: We propose a proactive content poisoning scheme to stop colluders and pirates from alleged copyright infringements in P2P pp2 sharing.

Topics Discussed in This Paper. See our FAQ for additional information. Luxburg U A tutorial on spectral clustering.

Exploring probabilistic follow relationship to prevent collusive peer-to-peer piracy | SpringerLink

Citation Statistics 58 Citations 0 5 10 15 ’10 ’12 ’14 ’16 ‘ References Publications referenced by this paper. Armentano M, Godoy D et al Topology-based recommendation of users in micro-blogging communities. Comput Netw 52 6: Bellal HossainMd. Cite article How to cite? From This Paper Figures, tables, and topics from this paper.

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Dugu N, Perez A Detecting social capitalists on twitter using similarity measures. LitchfieldJeff Herbert Cryptography Skip to main content.

Collusive Piracy Prevention in P2P Content Delivery Networks

J Cryptol 22 1: Citations Publications citing this paper. Aggarwal CC Data streams: Unfortunately, existing research efforts on the follow relationship in online social network have largely overlooked the time constraint and the content feedback in sequential behavior analysis.

Data Streams — Google Scholar.