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Information Systems Frontiers
Erschienen in: Information Systems Frontiers 6/2017

28.04.2016

Adaptive approach to restraining content pollution in peer-to-peer networks

Erschienen in: Information Systems Frontiers | Ausgabe 6/2017

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Abstract

Peer-to-Peer (P2P) networks face the challenge of frequent pollution attacks. In such attacks, malicious peers pollute the network by sharing mislabeled, corrupt or infected content in an attempt to disrupt the system and waste network resources. When faced by such phenomenon, regular peers get discouraged from participating in the P2P network as they find less value in the system. In this work, we investigate the amount of resources required to restrain pollution attacks by means of content validation. We introduce multiple adaptive techniques that can minimize the spread of polluted content, while at the same time reduce the cost of content validation for peers participating in the network. Furthermore, the proposed pollution-restraint techniques are resistant to collusion from malicious peers, and they do not contribute to excessive communication overhead in the P2P network.
Vorheriger Artikel A fast and scalable approach for IoT service selection based on a physical service model
Nächster Artikel A cultural theory analysis of e-government: Insights from a local government council in Malaysia

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Fußnoten
1
1 In this context, recent acquaintances of a local peer refer to remote peers with whom the local peer interacted recently (by uploading or downloading files to such peers).
 
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Metadaten
Titel
Adaptive approach to restraining content pollution in peer-to-peer networks
Publikationsdatum
28.04.2016
Erschienen in
Information Systems Frontiers / Ausgabe 6/2017
Print ISSN: 1387-3326
Elektronische ISSN: 1572-9419
DOI
https://doi.org/10.1007/s10796-016-9651-0

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