P2P信任系统中基于重复博弈的惩罚机制研究

摘要

P2P网络是一种动态的、自组织的、分布式的开放网络环境,信任问题在P2P系统中扮演了越来越关键的角色,而惩罚机制的设计又是P2P信任问题的关键所在.设计了一种基于重复博弈的惩罚模型,创新点在于:在博弈论的分析框架之下,引入了基于信任度的惩罚策略并创造性地设计了惩罚度转换函数,使得在单次博弈中无法实现的信任和合作在重复博弈中得以实现.该惩罚机制具有良好的威慑性、容错性、主观性和区分性,并通过模拟实验证明了其可行性和有效性.%P2P network is a dynamic, self-organized, distributed open network environment.Trust plays an increasingly important role in P2P systems, and the design of penalty mechanism is the key of P2P trust.This paper designs a penalty model based on repeated games.The innovation is that: in the framework of the game theory analysis, the introduction of the punishment strategy based on the degree of Trust and creatively designed a penalty conversion function, so that trust and cooperation can not be achieved in a single game can be achieved in the repeated game.The penalty mechanism has a good deterrence, fault tolerance, subjectivity and differentiation.The simulation experiment proves its feasibility and effectiveness.