Abstract:

With the application and development of cloud computing, cloud security has attracted much attention. Cloud resources cannot be matched under malicious attacks. Rational allocation of cloud resources is a prerequisite for cloud security. In order to solve the problems of resource trusted service, resource allocation optimization and security scheme evaluation, this paper innovatively proposed intelligent optimization and decision method of cloud resource security based on trusted service. Firstly, a multi-objective optimization model of resource security reliability, time, cost and service quality was established. Then, the improved particle swarm optimization algorithm was used to solve it, and the VIKOR evaluation method based on G1-improved entropy weight method was used to select the optimal cloud security scheme. Meanwhile, in order to overcome the premature convergence of particle swarm, dynamic inertia weight and velocity perturbation strategy were integrated to improve the algorithm. Finally, simulation experiments show that the improved algorithm has a wider solution set and better convergence than other algorithms, and verifies the effectiveness of the evaluation method under trusted services, and improves the security of cloud resource services.

Key words: cloud security, credibility, particle swarm, subjective and objective empowerment, VIKOR