Reputation-Driven Peer-to-Peer Live Streaming Architecture for Preventing Free-Riding

TL;DR

This paper introduces a reputation-based P2P live streaming system that incentivizes participation, discourages free-riding and malicious behavior, and maintains stability during high demand scenarios.

Contribution

It proposes a novel reputation-driven algorithm that manages peer dynamics and ensures system sustainability in P2P live streaming.

Findings

Effective deterrence of free-riding and malicious peers

Stable performance during flash crowd scenarios

Enhanced long-term system sustainability

Abstract

We present a peer-to-peer (P2P) live-streaming architecture designed to address challenges such as free-riding, malicious peers, churn, and network instability through the integration of a reputation system. The proposed algorithm incentivizes active peer participation while discouraging opportunistic behaviors, with a reputation mechanism that rewards altruistic peers and penalizes free riders and malicious actors. To manage peer dynamics, the algorithm continuously updates the strategies and adjusts to changing neighbors. It also implements a request-to-join mechanism for flash crowd scenarios, allowing the source node to delegate requests to child nodes, forming an interconnected tree structure that efficiently handles high demand and maintains system stability. The decentralized reputation mechanism promotes long-term sustainability in the P2P live streaming system.