Fuzzy trust recommendation based on collaborative filtering for mobile ad-hoc networks
Fuzzy trust recommendation based on collaborative filtering for mobile ad-hoc networks
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DOI：
10.1109/lcn.2008.4664184
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发表时间：
2008-10
期刊：
影响因子：
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通讯作者：
Junhai Luo;Xue Liu;Yi Zhang-;Danxia Ye;Zhong Xu
中科院分区：
文献类型：
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作者：
Junhai Luo;Xue Liu;Yi Zhang-;Danxia Ye;Zhong Xu
移动自组织网络（MANET）基于移动节点的协作和信任特性。通常，节点是自治和自组织的，不需要中央管理或固定网络基础设施。由于其分布式特性，MANET 非常容易受到各种攻击。为了增强MANET的安全性，在没有中央权威的情况下对其他节点的可信度进行评级以建立信任环境非常重要。在本文中，我们提出了一种基于协同过滤的模糊信任推荐，它可以刺激分布式计算和通信节点之间的协作，促进不可信节点的检测，并辅助MANET各种协议的决策。由于交互结果的不确定性，我们使用模糊逻辑在 MANET 环境中对信任推荐进行建模。我们的信任模型结合了基于协同过滤的直接信任和信任推荐信息，允许节点用有关其他节点可信度的不确定性和不精确信息来表示和推理。仿真结果表明该模型灵活有效。
Mobile ad-hoc networks (MANETs) are based on cooperative and trust characteristic of mobile nodes. Typically, nodes are both autonomous and self-organized without requiring a central administration or a fixed network infrastructure. Due to their distributed nature, MANETs are very vulnerable to various attacks. To enhance the security of MANETs, it is important to rate the trustworthiness of other nodes without central authorities to build up a trust environment. In this paper, we propose a fuzzy trust recommendation based on collaborative filtering, which stimulates collaboration among distributed computing and communicating nodes, facilitates the detection of untrustworthy nodes, and assists decision-making in various protocols for MANETs. Due to the uncertain interaction outcomes, we use fuzzy logic to model trust recommendation in a MANET environment. Our trust model combines direct trust and trust recommendation information based on collaborative filtering to allow nodes to represent and reason with uncertainty and imprecise information regarding other nodespsila trustworthiness. Simulation results show that the proposed model is flexible and valid.