Abstract
To prevent privacy leakage, cloud services need to take corresponding methods, so participants often face the dilemma of service utility and privacy protection. In this paper, we propose a dynamic adaptive access control model based on trust permission and privacy protection to solve the problem of privacy disclosure and utility in the cloud service. Firstly, we add the concept of obligation and purpose into access control and establish the privacy information tree and privacy policy tree. Secondly, we establish a new trust evaluation and give the corresponding weight algorithm. Thirdly, we quantify the privacy information with the normal space and correlation coefficient method. Further, we propose a tradeoff relationship model between trust permission and privacy protection, each participant can select the corresponding parameters according to the actual requirement and personal preference. Experimental analysis and comparison results verify the feasibility, effectiveness, and superiority of our method. Finally, we summarize the work of this paper and point out the future development direction.
Highlights
The convenience and economy of cloud computing services are very popular in the current network services
4) We propose a tradeoff relationship model between trust permission and privacy protection, give the optimal policy solution, a participant can select the corresponding parameters according to the actual requirement
We propose a trust and privacy evaluation model, establish a tradeoff relationship and dynamically choose trust permission or privacy protection, so our model is better than [17] and [5]
Summary
The convenience and economy of cloud computing services are very popular in the current network services. Afifi and Zhou et al in [9] constructed a new multivariate privacy feature quantification model, analyzed the sensitivity of identifiers, and proposed two different measurement methods to quantify privacy disclosure; there is a lack of optimization research on the information publication. Wang and He et al in [10] proposed a two-stage framework to calculate the average value, which can achieve the optimal calculation accuracy on the premise of meeting the privacy requirements; the influence of the node on the calculation accuracy still needed further study. We propose a new model to adapt to the dynamic relationship between the openness of the network environment and the trust permission and privacy (Fig. 1)
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