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Framework for preserving security and privacy in peer-to-peer content distribution systems

机译:在对等内容分发系统中保留安全性和隐私的框架

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摘要

The use of peer-to-peer (P2P) networks for multimedia distribution has spread out globally in recent years. The mass popularity is primarily driven by efficient distribution of content, also giving rise to piracy. An end user (buyer) of a P2P content distribution system does not want to reveal his/her identity during a transaction with a content owner (merchant), whereas the merchant does not want the buyer to further distribute the content illegally. Therefore, there is a strong need for a content distribution mechanism over P2P networks that do not pose security and privacy threats to the copyright holders and end users, respectively. The existent systems for copyright and privacy protection employ cryptographic mechanisms at a cost of high computational burden which makes these systems impractical to distribute large sized files, such as music albums or movies. In this paper, we propose and analyze a P2P content distribution system which allows efficient distribution of large-sized content while preserving the security and privacy of merchants and buyers, respectively. Our proposed framework is able to resolve the problems of piracy tracing, buyer frameproofness, collusion resistance, dispute resolution and buyer's anonymity. We have carried out simulations to evaluate the performance of our framework in terms of imperceptibility, robustness, throughput and content delivery costs. The experimental results confirm that the proposed framework provides an efficient solution to copyright infringement issues over P2P networks, reducing the multimedia file sizes as much as five times on average, while protecting the end users' privacy and anonymity.
机译:近年来,对等(P2P)网络用于多媒体分发已在全球范围内普及。大规模普及主要是由内容的有效分发驱动的,也引起了盗版。 P2P内容分发系统的最终用户(买方)在与内容所有者(商家)进行交易期间不希望透露其身份,而商家则不希望买方进一步非法分发内容。因此,强烈需要通过P2P网络的内容分发机制,该机制不会分别对版权持有者和最终用户构成安全和隐私威胁。现有的用于版权和隐私保护的系统以高计算量为代价采用密码机制,这使得这些系统不适合分发大尺寸文件,例如音乐专辑或电影。在本文中,我们提出并分析了一种P2P内容分发系统,该系统可以有效地分发大型内容,同时又分别保护商家和购买者的安全性和隐私性。我们提出的框架能够解决盗版追踪,买方框架防伪,抗串通,争端解决和买方匿名的问题。我们已经进行了仿真,以从不易察觉性,鲁棒性,吞吐量和内容交付成本方面评估我们框架的性能。实验结果证实,该框架为P2P网络上的版权侵权问题提供了有效的解决方案,可将多媒体文件大小平均减少多达五倍,同时保护了最终用户的隐私和匿名性。

著录项

  • 来源
    《Expert Systems with Application》 |2015年第3期|1391-1408|共18页
  • 作者单位

    Estudis d'Informatica Multimedia i Telecomunicacio, Internet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya (UOC), Rambla del Poblenou, 156, 08018 Barcelona, Spain;

    Estudis d'Informatica Multimedia i Telecomunicacio, Internet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya (UOC), Rambla del Poblenou, 156, 08018 Barcelona, Spain;

    Estudis d'Informatica Multimedia i Telecomunicacio, Internet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya (UOC), Rambla del Poblenou, 156, 08018 Barcelona, Spain;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Privacy; Security; Anonymity; Collusion resistant fingerprinting; Peer-to-peer networks;

    机译:隐私;安全;匿名;防串谋指纹;对等网络;

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