CRAE: Blockchain-based Computing Resource Authenticity Evaluation in Computing Aware Network

Recent research has demonstrated that the Computing Aware Network (CAN) effectively balances network resources and computing requirements. It achieves this by intelligently directing traffic to suitable computing resources, taking into account both routing metrics and computing resource metrics. However, attackers may publish false advertisements regarding computing resources for various purposes, which cause traffic hijack and a decrease in network computing performance. This poses significant challenges in evaluating and trusted publishing of computing resources. To address this issue, this paper proposes a blockchain-based Computing Resource Authenticity Evaluation solution (CRAE), which utilizes blockchain and game theory to enhance the usage of computing resources and availability of CAN. First, a bilateral evaluation mechanism based on game theory is designed to suppress the impact of false advertisements of computing resources on the overall efficiency of the network. Second, based on the immutability of blockchain technology, a public ledger has been designed for trusted publishing of computing resources. Finally, the simulation results indicate that compared to existing security mechanisms, CRAE can effectively suppress malicious behavior in the network and reduce the waste of computing resources resulting from the introduction of security mechanisms.