Robust Decentralised Trust Management for the Internet of Things by Using Game Theory

作者：

Highlights：

• The security problems related to a federated trust management supported by the blockchain within the context of the IoT is formulated;

• The interactions of the edge node with the IoT node is modelled as a signalling game, which is studied and a solution is formulated as a Perfect Bayesian Equilibrium

• The evolutionary game and Dempster-Shafer theory are combined so as to achieve a robust evidence aggregation and realise robust trust estimation

• An empirical assessment is presented with an implementation realised with Hyperledger platform.

摘要

•The security problems related to a federated trust management supported by the blockchain within the context of the IoT is formulated;•The interactions of the edge node with the IoT node is modelled as a signalling game, which is studied and a solution is formulated as a Perfect Bayesian Equilibrium•The evolutionary game and Dempster-Shafer theory are combined so as to achieve a robust evidence aggregation and realise robust trust estimation•An empirical assessment is presented with an implementation realised with Hyperledger platform.

论文关键词：Trust Management,Blockchain,Decentralized Trust Assessment,Fog Computing,Game Theory,Dempster-Shafer theory

论文评审过程：Received 1 February 2020, Revised 6 May 2020, Accepted 18 May 2020, Available online 10 June 2020, Version of Record 10 June 2020.

论文官网地址：https://doi.org/10.1016/j.ipm.2020.102308