Research on security resource allocation algorithm of edge computing based on mobile blockchain

Blockchain technology is predicted to be one of the key technologies of 6G cellular mobile communication due to its advantages of decentralization, anonymity, openness and immutability. Blockchain technology based on mobile communications can protect privacy and save costs. However, due to problems such as fixed and energy consumption of traditional blockchain scenarios, the mobile blockchain generated by mobile mining in the future may become a mainstream technology and be applied in all aspects. In mobile communication, mobile devices cannot meet the huge computing power requirements of mobile blockchain due to power supply and memory problems. Mobile users can offload mining tasks to edge computing servers while moving blockchain in a communication environment requires refactoring the system security model to be applied to collaborative processing of offloading tasks in mobile edge computing. Based on traditional blockchain and mobile edge computing, this paper first proposes hypotheses about mobile blockchain, analyzes the attack model of traditional blockchain, forms a computing power alliance, and builds a security model based on smart contracts. The security guarantee of mobile blockchain is formed from three aspects: the difficulty value of personal computing power is increased, the security based on contract accounts is improved, and the success probability of fork attack is reduced. In the process of resource allocation, auction algorithm is used to construct the price utility function to solve the problem of social welfare maximization. The simulation results verify that the security increases with the increase of sequestration funds and sequestration time, and the success rate of fork attack decreases with the increase of the number of verifiers. Compared with traditional methods, the combined optimization algorithm has certain advantages in utility sum and average return, and its security is also higher than other algorithms. After the emergence of mobile blockchain security, in the unloading task processing of mobile edge computing, the mobile blockchain is used as an application, and the surrounding idle devices are called for collaborative unloading according to its decentralization and openness to form a computing shunt. We need to construct a network offload model and analyze the utilization function of available offload resources. Based on the optimal strategy based on delay and energy consumption, the utility function of delay and energy consumption is constructed to analyze energy consumption. The utility function is optimized by convex S-greedy algorithm, which construes the unloading ratio of edge server by the failure rate and unloading cost. Simulation results verify that the algorithm can achieve a higher equilibrium point of the utility function and improve the utilization rate of available offload resources in the region.