• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

计算机工程与科学

• 高性能计算 • 上一篇    下一篇

面向选择推荐节点的P2P网络信任模型

马满福1,2,何春玲1,2   

  1. (1.西北师范大学计算机科学与工程学院,甘肃 兰州 730070;2.甘肃省物联网工程研究中心,甘肃 兰州 730070)
  • 收稿日期:2016-12-25 修回日期:2017-04-26 出版日期:2018-06-25 发布日期:2018-06-25
  • 基金资助:

    国家自然科学基金(71263045);甘肃省科技支撑计划(1204FKCA162)

A P2P network trust model for selecting recommended nodes

MA Manfu1,2,HE Chunling1,2   

  1. (1.College of Computer Science & Engineering,Northwest Normal University,Lanzhou 730070;
    2.Gansu IOT Research Center,Lanzhou 730070,China)
  • Received:2016-12-25 Revised:2017-04-26 Online:2018-06-25 Published:2018-06-25

摘要:

对等网(P2P)具有开放性、匿名性等特点,节点之间的交互类型复杂多样并且具有较小的重复交互性,导致其节点之间的信任关系难以确定。提出一种基于选择节点的P2P网络信任模型,通过直接信任和推荐信任得到节点综合信任值。选择推荐节点时,使用推荐节点与交互节点信任值相似度作为标准,以其信任差值最小的推荐节点作为被选择节点;同时,针对共谋团体的团伙欺骗,提出连带惩罚机制以及对提供可靠消息节点的奖励机制。仿真实验结果表明,该模型不但具有抗恶意节点攻击的能力,同时还具有较高的自适应能力。
 
 

关键词: 对等网络, 信任, 挂起, 激励机制

Abstract:

Due to the openness and anonymity of PeertoPeer (P2P), the types of interactions between nodes are complex and diverse, and they have small repetitive interactions, which makes it difficult to define the trust relationship between nodes. Based on selected nodes, we propose a P2P network trust model, and obtain comprehensive trust value through direct trust and the recommended trust for each node. Recommendation nodes whose trust value is closest to the interactive nodes are selected, that is to say, nodes with the smallest trust difference are selected. We also propose a joint punishment mechanism and an incentive mechanism to prevent gang cheating of the conspiracy group. Simulation experiments show that the trust model is not only capable of resisting attacks of malicious nodes, but also has a high selfadaptability.
 

Key words: P2P, trust, pending, incentive mechanism