Analysing and evaluating malicious trust in cloud computing environments from a statistical perspective

High security issue is one of the major obstacles for opening up the new cloud computing era. Trust, as a soft social security philosophy, can fight against such security threats and consequently offers a high trustworthiness cloud computing environments. In this paper, the definition of trust in clouds is given and the properties of trust are systematically analysed by referring to the social science theories. A malicious trust analysis and evaluation model is put forward, which includes: a analysing malicious trust information from the popularity, activity, and cooperation among trust entities, and acquiring the trustworthiness recommendations; and b evaluating the malicious nodes at the data level by similarity strategy, and evaluating malicious trust information at the overall level by individual and moving range control chart strategy. Simulation results conclusively demonstrate that this malicious trust analysis and evaluation model accurately detects and prevents malicious and faulty recommendations.