A Multi-Level reputation-based pollution attacks detection and prevention in P2P streaming
Hassan Kooshkaki, Behzad Akbari, Abdollah Ghaffari Sheshjavani · 2016
Today Peer-To-Peer (P2P) networks are becoming more important from high scalability and low cost point of view, and these networks are popular platform for video streaming. With burgeoning of P2P networks, one of the interesting areas of research is confronting to various attacks and threats against these networks. Since, video streaming is a popular application of P2P networks, some attacks like pollution attacks have made serious challenge. In these attacks fake contents are replaced with the original one, by malicious users, and are broadcasted to the network. Diffusion of these contents cannot be controlled with any control process and causes that the polluted content quickly becomes available in network. Another major impacts of this event are users dissatisfaction performance reduction and poor quality of services. For reason, this article proposes a solution for addressing the pollution attacks on P2P networks. Our approach is based on CDN-P2P architecture which is called “Multi-Level mechanism”. This mechanism, unlike produced methods, uses temporary blocked policy and new technique to calculate reputation. Also Multi-Level mechanism works in a distributed reputation system. Experimental results show that our Multi-Level approach has a good performance against pollution attacks.