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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Newman M, Girvan M Community structure in social and biological networks. Topics Discussed in This Paper.

Collusive Piracy Prevention in P2P Content Delivery Networks – Semantic Scholar

Luxburg U A tutorial on spectral clustering. Exploring probabilistic follow relationship to prevent collusive peer-to-peer piracy.

Proceedings of the 28th ACM international conference on human factors in computing systems, pp — Google Scholar.

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Knowledge and Data Eng. Study on the follow relationship provides an emerging track of research in capturing the followee e. Citations Publications citing this paper.

Semantic Scholar estimates that this publication has 58 citations based on the available data. Datar M, Motwani R The sliding-window computation model and results.

Knowledge and Information Systems.

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Comput Netw 52 6: Internet Math 1 4: From This Paper Figures, tables, and topics from this paper. LitchfieldJeff Herbert Cryptography IEEE Multimed 18 1: Citation Statistics 58 Citations 0 5 10 15 ’10 ’12 ’14 ’16 ‘ J Netw Comput Appl dleivery In this paper, we proposed a multi-bloom filter circle to facilitate the time-constraint storage and query of P2P sequential behaviors.

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

ACM Sigmod Rec 32 2: Bellal HossainMd. Stat Comput 17 4: This service is more advanced with JavaScript available, learn more at http: By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy PolicyTerms of Serviceand Dataset License. J Inf Process 20 2: A Tour of Media-Defender. We propose a proactive content poisoning scheme to stop colluders and pirates from alleged copyright infringements in P2P file sharing.

Data Streams — Google Scholar. J Comput Sci Technol 27 2: Policy Internet 3 2: Koenigstein N, Shavitt Y et al Measuring the validity of peer-to-peer data for information retrieval applications 56 3: Dugu N, Perez A Detecting social capitalists on twitter using similarity measures. P2P collusive piracywhere paid P2P clients share the content with unpaid clients, has drawn significant concerns in recent years.

See our FAQ for additional information. Such online piracy has hindered the use of open P2P networks for commercial content delivery.

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Cite article How to cite? Regular Paper First Online: 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. Tariq NetworisMd. Bellare M, Namprempre C et al Security proofs for identity-based identification and signature schemes.

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Collusive Piracy Prevention in P2P Content Delivery Networks

Armentano M, Godoy D et al Topology-based recommendation of users in micro-blogging communities. Li Q, Wenjia N et al Recover fault services via complex service-to-node mappings in wireless sensor networks.

Paid clients colluders may illegally share copyrighted content files with unpaid clients pirates.

Yoshida M, Ohzahata S et al. 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. J Cryptol 22 1: The extensive experimental analysis demonstrates the capability of the proposed approach. Skip to search form Skip to main kn.