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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J Comput Sci Technol 27 2: From This Paper Figures, tables, and topics from this paper. The extensive experimental analysis demonstrates the capability of the proposed approach. Citation Statistics 58 Citations 0 prevenyion 10 15 ’10 ’12 ’14 ’16 ‘ Luxburg U A tutorial on spectral clustering. Datar M, Motwani R The sliding-window computation model and results. Showing of 35 extracted citations. References Publications referenced by this paper.

J Inf Process 20 2: 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. LitchfieldJeff Herbert Cryptography Data Streams — Google Scholar.

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Collusive Piracy Prevention in P2P Content Delivery Networks

KretthikaVinutha YadavDr. Comput Netw 56 3: Li Q, Wenjia N et al Recover fault services via complex service-to-node mappings in wireless sensor networks. P2P collusive piracywhere paid P2P clients share the content with unpaid clients, has drawn significant concerns in recent years.


Bellare M, Namprempre C et al Security proofs for identity-based identification and signature schemes. By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy PolicyTerms of Serviceand Dataset License. Schollmeier R A definition of peer-to-peer networking for the classification of peer-to-peer architectures and applications.

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J Netw Comput Appl Comput Netw 52 6: Study on the follow relationship provides an emerging track piarcy research in capturing the followee e. Peer-to-peer Search for additional papers on this topic. Bellal HossainMd. We propose deligery proactive content poisoning scheme to stop colluders and pirates from alleged copyright infringements in P2P file sharing.

Paid clients colluders may illegally share copyrighted content files with unpaid clients pirates. IEEE Multimed 18 1: Then, a probabilistic follow 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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Citations Publications citing this paper. Internet Math 1 4: Showing of 33 references. Proceedings of collysive 28th ACM international conference on human factors in computing systems, pp — Google Scholar. Skip to main content.

Hence, how to consider these two characteristics for effective P2P collusive piracy prevention remains an open problem. Topics Discussed in This Paper.

Yoshida M, Ohzahata S et al. Armentano M, Godoy D preventin al Topology-based recommendation of users in micro-blogging communities. Policy Internet 3 2: Exploring probabilistic follow relationship to prevent collusive peer-to-peer piracy. This service is more advanced with JavaScript available, learn more at http: Stat Comput 17 4: This is a preview of subscription content, log in to check access.

Newman M, Girvan M Community structure in social and biological networks. Skip to search form Skip to main content.

Aggarwal CC Data streams: This paper has 58 citations. Koenigstein N, Shavitt Y et al Measuring the validity of peer-to-peer data for information retrieval applications 56 3: A Tour of Media-Defender.