【作者】 高晓虎；

【导师】 张少敏；

【作者基本信息】 华北电力大学（河北） ， 计算机应用技术， 2010， 硕士

【摘要】 为了避免合谋现象带来的危害,针对电力市场和P2P网络中的合谋问题进行了分析和研究。分析了电力市场中合谋竞标形成因素并设计实现了基于模糊综合评判和聚类分析的的综合判别算法。该算法将关联度、市场集中度、量价指数和合理性分析等多种分析方法引入到模糊综合评判中用来建立隶属函数,并采用层次分析法和变权法来配置和调整权重,结合聚类分析综合判定出合谋竞标的发电商,并通过算例验证了该算法的可行性和高效性;通过研究P2P网络信誉体制下的合谋问题,设计了一种P2P网络中满足防范合谋攻击的信誉体制并实现了该系统,指出王-李门限签名方案在P2P网络中防范合谋攻击的缺陷,给出了改进方案并验证其正确性。更多还原

【Abstract】 The collusion of electricity market and P2P is analyzed and researched in order to avoid the injury of collusion in this paper. Based on the research of the basic factors of collusive bidding in electricity market, the power suppliers bid collusion integrated discriminant algorithm is designed and implemented, which bases on fuzzy comprehensive evaluation and cluster analysis. The algorithm introduces a variety of analysis methods into the fuzzy comprehensive evaluation to establish membership functions such as correlation degree, market concentration, capacity price index and soundness analysis. And it uses the method of AHP and variable weight to configure and adjust the weights, which combine with clustering algorithm to determine collusive bidding power supplier. At last the feasibility of the algorithm and high efficiency is proved through numerical results. By studying the collusion problem under the reputation system of P2P networks, a reputation system for P2P networks is designed and implemented, which can meet the prevention of collusion attacks. And by analyzing the deficiencies of the current P2P networks based on Wang-Li schemes against conspiracy attacks,an improved method of fight against collusion in the threshold is proposed and proved. Gao Xiaohu (Computer Application Technology)更多还原