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CBSTM-IoT: Context-based social trust model for the Internet of Things

机译:CBSTM-IoT:物联网的基于上下文的社会信任模型

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Recent advancements in the ¿¿¿Internet of Things¿¿¿ allowed ¿¿¿Things¿¿¿ or ¿¿¿nodes¿¿¿ to have virtual identities and exchange data and services. ¿¿¿Things¿¿¿ form distributed systems which lack central control and have flexible topologies. In this context, it is crucial to have a robust, scalable and adaptive trust model for trustworthy node communication between nodes (i.e., Things). In this paper, A Context-based Social Trust model for the Internet of Things (CBSTM-IoT) is presented. CBSTM-IoT integrates numerous factors such as direct and indirect trust; transaction context; owner trust; and social modelling of trust. Performance evaluation results validate that CBSTM-IoT benefits from using both direct observations and indirect recommendations to counter attacks and achieves satisfactory results in isolating malicious nodes in the network.
机译:物联网中的最新进展允许事物,节点或节点具有虚拟身份并交换数据和服务。事物构成了缺乏集中控制和灵活拓扑的分布式系统。在这种情况下,对于节点(即事物)之间的可信赖节点通信,具有健壮,可扩展和自适应的信任模型至关重要。本文提出了一种基于上下文的物联网社会信任模型(CBSTM-IoT)。 CBSTM-IoT集成了许多因素,例如直接和间接信任;交易环境;所有者信任;和信任的社会模型。性能评估结果证明,通过使用直接观察和间接建议来对抗攻击,CBSTM-IoT受益匪浅,并且在隔离网络中的恶意节点方面取得了令人满意的结果。

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