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计算机工程

• 安全技术 • 上一篇    下一篇

MANET 中多角色的分簇信任评估模型

陆小玲,仲 红,林群峰,石润华   

  1. (安徽大学计算智能与信号处理教育部重点实验室,合肥230039)
  • 收稿日期:2014-02-24 出版日期:2015-02-15 发布日期:2015-02-13
  • 作者简介:陆小玲(1989 - ),女,硕士研究生,主研方向:网络与信息安全; 仲 红,教授、博士生导师;林群峰,硕士研究生;石润华, 教授、博士。
  • 基金资助:
    国家自然科学基金资助项目(61173188,61173187);安徽大学“211”工程基金资助项目(02303402)。

Multi-role Clustering Trust Evaluation Model in MANET

LU Xiaoling,ZHONG Hong,LIN Qunfeng,SHI Runhua   

  1. (Key Laboratory of Intelligent Computing & Signal Processing,Ministry of Education,Anhui University,Hefei 230039,China)
  • Received:2014-02-24 Online:2015-02-15 Published:2015-02-13

摘要: 针对现有信任评估模型中簇头选择标准单一、不同角色节点信任值难以分配与更新的问题,提出一种多角 色的信任评估模型。将节点分成簇头、簇成员、网关和代理4 种角色,引入节点信任值、移动性、相关度等多影响因子作为簇头、网关和代理的选择标准,采用新颖簇头节点的信任值计算方式。在簇内簇头节点的信任值由代理节点监督计算。在簇间利用由簇头、代理以及网关节点形成简化网络,根据社会网中人际关系的特点分配不同关系节点的可信度。NS2 仿真实验结果表明,该模型能有效检测出恶意节点并将其隔离,保证网络的安全性。

关键词: 移动自组织网络, 信任模型, 分簇, 代理, 多角色节点, NS2 仿真

Abstract: With the development of Mobile Ad hoc Network (MANET),the study of trust evaluation in clustering structure becomes more popular nowadays. Most existing models use single criterion for head node selection,and have difficulties with assigning and updating trust value of the different roles. This paper proposes a new multi-role trust evaluation model. The node has four roles:cluster head,cluster members,gateways and agent. Thus,to compute the trust of cluster head,a new way comes out by using trust value,mobility and correlation degree of node as selecting criteria of cluster heads,gateways and agent. Inside each cluster,the trust of cluster head is computed by the agent node,for the trust between the clusters, a simplified network, which consists of cluster heads, gateways and agents, according to the characteristics of the social network relationships,assigns credit to different nodes,the agent’s recommends is taken into calculating the trust. NS2 simulation results show that the model can effectively detect and isolate the malicious nodes, thus ensure the security of the network.

Key words: Mobile Ad hoc Network(MANET), trust model, clustering, agent, multi-role node, NS2 simulation

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