A Unified Model Of Pollution In P2P Networks

Nowadays Peer-to-Peer(P2P) systems account for more than 60% of the Internet traffic.They have greatly changed the way how people use the Internet. They also profoundlyimpact sales in music and video recording industries. To reduce the financial losses, themusic industry attempts to sabotage P2P file sharing systems and songs. In addition, even thebehavior of P2P users seriously affected by the incentive mechanism employed by the P2Psystems. Therefore, many popular Peer-to-Peer (P2P) systems suffer from the simultaneousattacks of various pollutions, including file-targeted attack and index-targeted attack.Many researchers use measurement and modeling to understand the pollution conditionof the P2P systems. However, to our knowledge, they either consider file-targeted attackor index-targeted attack, there is no model that takes both of them into consideration. Infact, the two attacks impact the effect of each other. It makes the models considering eitherkind of pollution only fail to accurately illustrate the actual pollution. In this paper, wedevelop a unified model to remedy the defect. Through the analysis from the perspective ofuser behaviors, the two attacks are integrated into the unified model as two factors impactingusers'choice of the files to download. The modeled file proliferation processes are consistentto those measured in real P2P system. Moreover, the co-effect of the two attacks is alsoanalyzed. The extreme point of co-effect is found, which corresponds to the most efficientattack of pollution.Further analysis of the models accuracy requires the quantitative comparison betweenthe modeled effects of pollution and the measured ones. Nonetheless, no such metric hasever been proposed, which also causes a lot of problems in evaluating the effect of pollutionand anti-pollution techniques. To fix the deficiency, we propose several metrics to assessthe effect of pollution, including abort ratio, average download time of unpolluted files, etc.These metrics estimate the effect of pollution from different aspects. They are applied to the analysis of pollution emulated by our unified model. The co-effect of pollution is capturedby these metrics. Furthermore, the different between our model and previously developedones is also reffected by them.