Hybrid Defense against Pollution Attacks in P2P Live Video Streaming

Abstract

Pollution attacks present a serious risk to the integrity and reliability of peer-to-peer (P2P) live video streaming networks, negatively impacting video quality and user experience. This paper introduces a combined security strategy that merges blacklisting and traffic encryption techniques to counter these attacks. We assessed the effectiveness of Blacklisting, Traffic Encryption, and Hybrid methods using the OMNeT++ simulation environment across networks ranging from 1,000 to 5,000 nodes. The findings revealed that the Hybrid method consistently surpassed the others, achieving a detection rate of 90% and a pollution rate of 9% at 5,000 nodes, compared to 72%/20% for Blacklisting and 65%/23% for Traffic Encryption. This research work shows that the hybrid approach provides a more robust, scalable, and effective means of protecting P2P video streaming from pollution attacks