The high possibility of attack is greatly attributed to the broadcast nature of the communication medium in which the sensor nodes operate; this makes eavesdropping of messages possible on the network. This paper proposes a privacy-aware sociopsychological trust and reputation management (PSTRM) model. The paper presents a model that models the ability of a node as a continuum based on the current battery level and outage probability of the network. PSTRM also utilise an Elliptic-Curve Cryptography Diffie-Hellman (ECCDH) privacy-aware dissemination framework which encourages the sharing of accurate and credible indirect reputation information within network neighbourhoods. The following social constructs, viz., ability, benevolence and consistency were considered in the design of the proposed model. The detection rate of the proposed model was evaluated against that by Rathore et al., using MATLAB. PSTRM was found to have high detection rates than the proposal by Rathore et al.

中文翻译：

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PSTRM：无线传感器网络的隐私感知社会心理信任和声誉模型

发生攻击的可能性很高，这在很大程度上归因于传感器节点在其中运行的通信介质的广播特性。这使得可以在网络上窃听消息。本文提出了一种可感知隐私的社会心理信任和声誉管理（PSTRM）模型。本文提出了一个模型，该模型基于当前电池电量和网络中断概率，将节点的能力建模为连续体。PSTRM还利用椭圆曲线密码学Diffie-Hellman（ECCDH）隐私感知传播框架，该框架鼓励在网络社区内共享准确和可信的间接声誉信息。以下社会建构，即能力，仁慈和一致性在建议模型的设计中进行了考虑。提出的模型的检测率由Rathore等人使用MATLAB进行了评估。发现PSTRM的检测率比Rathore等人的建议高。