Diagnóstico de Poluição de Conteúdo em Redes P2P para Transmissões de Mídia Contínua ao Vivo

• Emanuel Amaral Schimidt UFPR
• Roverli Pereira Ziwich UFPR
• Elias Procópio Duarte Jr. UFPR
• Ingrid Jansch-Pôrto UFRG

Abstract

Content pollution is one of the challenges for deploying live streaming with P2P networks in the Internet. As the peers themselves are responsible to retransmit data, there is no trivial solution to this problem. This work presents a new strategy to detect content pollution that employs comparison-based diagnosis to identify modifications on the data stream. A peer compares selected chunks with those of its neighbors. Based on the comparison results, peers that transmitted polluted content are identified. The proposed solution was implemented using Fireflies, a scalable and intrusion-tolerant overlay network. Experimental results show that the strategy represents a feasible solution to detect content pollution and adds a low overhead in terms of network bandwidth. Permission

Keywords: P2P, Comparison-Based Diagnosis, Live Streaming, Content Pollution