DEIT: Dempster Shafer Theory-based edge-centric Internet of Things-specific trust model,Transactions on Emerging Telecommunications Technologies

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DEIT: Dempster Shafer Theory-based edge-centric Internet of Things-specific trust model
Transactions on Emerging Telecommunications Technologies ( IF 2.5 ) Pub Date : 2021-05-13 , DOI: 10.1002/ett.4248
Arpita Bhargava ₁ , Shekhar Verma ₁

Affiliation

The potential benefits of edge-centric Internet of Things (IoT) come with increased security threats and because the edge devices may be compromised into sending or forwarding wrong information. To negate the effect of wrong information on inference, such messages need to be identified. Identification and dropping of messages in the network as early as possible would minimize the communication overhead. Trust values of nodes help in the early identification of such messages. In this work, the Dempster Shafer Theory (DST)-based edge-centric IoT-specific Trust Model (DEIT) is designed to compute trust to include the specific characteristics of IoT. Edge servers use DEIT to compute trust value of edge devices in the network. In DEIT, DST combines the available trust messages. DIET also uses the degradation variable, credibility variable, punishment variable, re-compensating variable, and pardoning variable to compute final trust value. The computed trust value assists the edges in taking correct decisions. Simulation results demonstrate that it can immediately capture two major types of misbehavior, namely, information drop and modification under both sparse and dense traffic conditions. Through scenarios in the results section, the depiction of various possible misbehaviors has been discussed. Scenario 1 and 2 discuss a situation where a malicious edge device misbehaves in two ways, namely, dropping and modification of information, respectively. In scenario 3 and 4, situations are discussed when the trust opinion of the trusted and distrusted devices are neutralized with time using the degradation factor to illustrate and compare changes in trust values in two different situation.

中文翻译：

DEIT：基于 Dempster Shafer 理论的以边缘为中心的物联网特定信任模型

以边缘为中心的物联网 (IoT) 的潜在优势伴随着越来越多的安全威胁，并且因为边缘设备可能会被入侵以发送或转发错误信息。为了消除错误信息对推理的影响，需要识别此类消息。尽早识别和丢弃网络中的消息将最小化通信开销。节点的信任值有助于及早识别此类消息。在这项工作中，基于 Dempster Shafer 理论 (DST) 的以边缘为中心的物联网特定信任模型 (DEIT) 旨在计算信任以包含物联网的特定特征。边缘服务器使用 DEIT 来计算网络中边缘设备的信任值。在 DEIT 中，DST 结合了可用的信任消息。DIET 还使用退化变量、可信度变量、惩罚变量、重新补偿变量和赦免变量以计算最终信任值。计算出的信任值有助于边缘做出正确的决定。仿真结果表明，它可以立即捕获两种主要类型的不当行为，即在稀疏和密集交通条件下的信息丢失和修改。通过结果部分中的场景，讨论了各种可能的不当行为的描述。场景 1 和场景 2 讨论了恶意边缘设备分别以两种方式行为不当的情况，即信息的丢弃和修改。在场景 3 和 4 中，

更新日期：2021-06-14

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