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 Cryptol 22 1: Data Streams — Google Scholar. The Gnutella Protocol Spec. Stat Comput 17 4: J Comput Sci Technol 27 2: Citations Publications citing this paper.

Collusive Piracy Prevention in P2P Content Delivery Networks

Skip to main content. Aggarwal CC Data streams: Newman M, Girvan M Community structure in social and biological networks. Schollmeier R A definition of peer-to-peer networking for the classification of peer-to-peer architectures and applications. Li Q, Wenjia N et al Recover fault services via complex service-to-node mappings in metworks sensor networks.

By pervention accept or continuing to use the site, you agree to the terms outlined in our Privacy PolicyTerms of Serviceand Dataset License. Showing of 35 extracted citations.


We propose a proactive content poisoning scheme to stop colluders and pirates from alleged copyright infringements in P2P file sharing. Peer-to-peer Search for additional papers on this topic. A Tour of Media-Defender. Armentano M, Godoy D et al Topology-based recommendation of users in micro-blogging communities. Internet Math 1 4: Paid clients colluders may illegally share copyrighted content files with unpaid clients pirates.


Skip to search form Skip to main content. Proceedings of the 28th ACM international conference on human factors in computing systems, pp — Google Scholar.

Luxburg U A tutorial on spectral clustering. From This Paper Figures, tables, and topics from this paper. Such online piracy has networis the use of open P2P networks for commercial content delivery. 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.

Collusive Piracy Prevention in P2P Content Delivery Networks – Semantic Scholar

IEEE Multimed 18 1: Bellare M, Namprempre C et al Security proofs for identity-based colludive and signature schemes. Regular Paper First Online: Semantic Scholar estimates that this publication has 58 citations based on the available data. Knowledge and Data Eng. J Netw Comput Appl Datar M, Motwani R The sliding-window computation model and results.

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. P2P collusive piracy cohtent, where paid P2P clients share the content with unpaid clients, has drawn significant concerns in recent years.


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

Dugu N, Perez A Detecting social capitalists on twitter using similarity measures. J Inf Process 20 2: Showing of 33 references. ACM Sigmod Rec 32 2: Bellal HossainMd. Hence, how to consider these two characteristics for effective P2P collusive piracy prevention remains an open problem.

The extensive experimental analysis demonstrates the capability of the proposed approach. Yoshida M, Ohzahata S et al. This is a preview of subscription content, log in to check access. Comput Netw 52 6: Policy Internet 3 2: KretthikaVinutha YadavDr. Citation Statistics 58 Citations 0 5 10 15 ’10 ’12 ’14 ’16 ‘ Knowledge and Information Systems.