Public cloud credibility evaluation method and evaluation system thereof which can resist malicious evaluation

Abstract

The invention discloses a public cloud trust evaluation method capable of resisting malicious evaluation and an evaluation system thereof, comprising the following steps: a system initialization and service request step, a QoS monitoring and objective reliability evaluation step, a user malicious evaluation detection step, a subjective reliability evaluation step and a comprehensive reliability evaluation step. The invention introduces a trusted third party to evaluate the subjective credibility and the objective credibility of the public cloud.

Description

technical field [0001] The invention belongs to cloud service security technology, and in particular relates to a public cloud credibility evaluation method and evaluation system that can resist malicious evaluation. Background technique [0002] Cloud computing is a new computing model that has developed rapidly after grid computing, parallel computing and P2P computing. As an important part of cloud computing, public cloud is widely used due to its advantages of low cost, high performance, and dynamic scalability. Well-known IT companies at home and abroad, such as Amazon, Google, Tencent, and Ali, have successively launched public cloud service platforms. The ensuing security issues have gradually become a hot spot of concern, and the survey shows that more than half of potential cloud users remain skeptical about the reliability of public clouds. Therefore, the research on public cloud credibility is particularly important. [0003] The current research work on public...

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Problems solved by technology

[0005] (2) Subjective aspects: Z.xu, Q.He et al. proposed a user feedback method to score cloud services. This method relies on the reputation of the evaluator itself, and the uncertainty of the subjective evaluation itself is also high. greatly affect the accuracy of the system

However, the scheme proposed in this article does not take into account the uncertainty of subjective evaluation and the accuracy of the system will be greatly reduced when there are a large number of malicious user evaluations.

[0007] (4) Zhou Guosheng, Lin Hanchao and others proposed a public cloud credibility evaluation method based on TOPSIS and cloud model. They applied TOPSIS and cloud model to the evaluation process of objective and subjective credibility respectively, but the scheme also did not Considering the impact of malicious comments from users

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