A Blockchain-Enabled Trust Aware Energy Trading Framework Using Games Theory and Multi-Agent System in Smat Grid

Recently, multi-agent systems (MASs) have got attention due to consideration of distributed optimization and control in blockchain (BC) based energy trading applications. However, due to the dynamic behavior of uncertain and random variables, the coordination and control of MAS is still di cult to attain to maintain resilience and dynamicity. Because most of the classical trusted frameworks rely on access control and cryptography mechanisms. Furthermore, they are also ine cient in addressing the computational cost of cryptographic techniques, particularly. To overcome these constraints, this paper devises a BC-based trusted suite (TS) for MAS to solve privacy and anonymity problems during energy trading in a smart grid (SG). Three goals are met in this work: con dence, cooperation, and con dentiality. The reputation of trust appraisers is used to evaluate agent trust based on the designed criteria of trust deformation, coherence, and stability. A tri-tit-for-tat (TTFT) repeated game approach is devised to improve agent interaction. The developed technique is very adaptive to traditional tit-for-tat (TFT) method. It stimulates deceitful participants to rebuild con dence by participating in three successive game sessions. A naval consensus process known as proof-of-cooperation (PoC) is introduced to incentivize agent involvement for miner selection and block creation