基于种群动力学的P2P IPTV系统内容污染扩散模型

A Modeling Framework with Population Dynamics for Content Pollution Proliferation in P2P IPTV System

近年来,随着P2P(peer-to-peer)技术的日益成熟,基于P2P技术的IPTV(Internet protocol television)系统逐渐流行并取得了巨大成功,吸引了来自全球产业界和学术界的密切关注.但是,由于P2P IPTV系统自身特有的分布性、匿名性、快速传播性、用户规模大等特点使得其更容易成为攻击的目标.在对P2P IPTV内容污染攻击过程和节点在内容污染攻击中的行为特征进行详细分析的基础上,建立了一个具有种群动力学特征的P2P IPTV系统内容污染扩散模型,该模型充分考虑了在真实世界的P2P IPTV系统内容污染攻击中用户的持续观看行为、用户的加入和离开行为对频道用户规模动态演变的影响.实验结果表明,提出的P2P IPTV内容污染扩散模型可以有效和准确地刻画真实内容污染攻击场景中污染攻击对频道的在线节点规模动态演变和节点离开行为的影响情况.

With the growing maturity of peer-to-peer（P2P）technology,IPTV（Internet protocol television）applications based on it have gained great commercial success,which has received more and more attentions from both global industry and academia.However,the characteristics of distribution,anonymity,rapid propagation,and large-scale users in P2P IPTV systems make them more likely to be vulnerable targets.In this paper,the procedure of content pollution attack in P2P IPTV systems is presented firstly,and then the various user behaviors under the pollution attack are analyzed.With that knowledge,a modeling framework with population dynamics of content pollution in P2P IPTV systems is proposed.Different from the existing content pollution propagation models,this model considers the impact of user behaviors in the content pollution attack of real world P2P IPTV systems,such as continuous watching behavior,arrival behavior,departure behavior.Theoretical analysis and simulation experiments show that the proposed model is a feasible and efficient tool to analyze the content pollution propagation in real world P2P IPTV systems,especially for the dynamic evolution of participating users and the user departure behavior.