Dynamic trust model establishing system

Abstract

The invention discloses a dynamic trust model establishing system. By detailing cloud services and utilizing service attributes with finer grit as study subjects, direct trust value and indirect trust value of a service requester for a service provider are calculated, self-confident factors and trust factors are dynamically adjusted by evaluation similarity to obtain comprehensive trust value finally. The comprehensive trust value is used as indication value of trust relation between the service requester and the service provider, and the purpose of quantifying the trust relation of the service requester and the service provider completely and accurately is achieved. The service requester quantifies the trust relations of different service providers, the service provider with high comprehensive trust value can be conveniently selected according to practical application, and requirement of the service requester for personalization is met to the greatest extent.

Description

technical field [0001] The invention relates to the field of trusted computing in information security, in particular to a method for building a dynamic trust model oriented to personalized cloud services. Background technique [0002] Cloud computing is the development and extension of distributed processing, parallel processing and grid computing. It distributes computing tasks on a resource pool composed of a large number of computers, enabling users to obtain computing power, storage space and information services on demand. Although cloud computing has brought great convenience to users, user data has been transferred to the hands of cloud computing service providers, and cloud computing centers have no related services of trust mechanisms, and there has been a crisis of trust. Therefore, in order to safely apply cloud For services, a trust model must be constructed that can comprehensively and accurately reflect the trust relationship between the service requester and ...

AI Technical Summary

Problems solved by technology

For example, typical trust models: Beth model and Josang model, which use probability theory to build trust models, without taking into account the subjective and time characteristics of trust; the trust model proposed by Dou Wen et al. improves the accuracy of trust value calculation, but The impact of dishonest recommendations is not considered, and the individual needs of service requesters are ignored; starting from the subjective characteristics and ambiguity of trust, Tang Wen et al. proposed a trust model based on fuzzy set theory; in the cloud computing environment, Hu Chunhua et al. People proposed service selection based on trust evolution and collection, which solved the problem of simple weighting of trusted parameters. The trust model based on double-layer incentives and deception detection proposed by Xie Xiaolan and others can effectively resist various malicious attacks. However, none of the obtained trust values ​​can accurately reflect the real trust relationship between the service requester and the service provider, which affects the success rate of the interaction between the service requester and the service provider.

[0006] The above part briefly introduces the current research status of trust models, and its analysis can be summarized as existing models or simply applying probabilistic models to model subjective trust, or without considering the relevant characteristics of trust, or without Taking into account the individual needs of the service requester, or without establishing an incentive mechanism, the obtained trust value cannot accurately reflect the behavior of the service provider

[0007] In other words, the current research on trust models for personalized cloud services is still in its infancy. Existing trust models often do not take into account the subjective characteristics, ambiguity, time-related characteristics, and dynamics of trust. The trust relationship between the requester and the service provider is relatively rough, which cannot fully, truly and objectively reflect the trust relationship between the service requester and the service provider

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