Abstract
With the rapid development of cloud computing, users are exposed to increasingly serious security threats such as data leakage and privacy exposure when using cloud platform services. Problems in data security, such as inaccurate screening of indicators, lack of scientific validation of reputation evaluation results are also existed. In order to solve the problems, based on cloud environment, a security reputation model using S-AlexNet convolutional neural network and dynamic game theory (SCNN-DGT) is proposed. And it is used to protect the privacy of health data in Internet of Things (IoT). Firstly, the text information of user health data is pre-classified by using S-AlexNet convolutional neural network. Then, a recommendation incentive strategy based on dynamic game theory is proposed. So that the reputation model of user health data security is built, and the evaluation system of the model is established. Finally, an experimental study is carried out to verify the validity of the model and the model index screening. It is shown by experimental results that the model can solve the problems of low reliability of health data screening index, and low accuracy of credit distinction in cloud environment. Therefore, the reliability of mobile terminals is improved, and data security and privacy protection of mobile cloud services are strengthened effectively.
Highlights
With the development and popularization of Internet of Things technology, mobile computing based on wearable devices is regarded as an important technology to support ubiquitous awareness applications [1]–[3]
The process of building a reliable recommendation reputation evaluation model based on dynamic game theory strategy is as follows
The SCNN-DGT model proposed in this paper evaluates the health data security reputation of service providers in the cloud environment
Summary
With the development and popularization of Internet of Things technology, mobile computing based on wearable devices is regarded as an important technology to support ubiquitous awareness applications [1]–[3]. F. Kong et al.: Security Reputation Model for IoT Health Data Using S-AlexNet effectively improved [8], [9]. It is important to build an effective big data security reputation model, complete the reliable information collection, ensure the secure access and transmission of data, and provide privacy protection for data information. It is important for the further development of cloud computing security. A security reputation model using S-AlexNet convolutional neural network and dynamic game theory (SCNN-DGT) is proposed. The main innovations of this paper are as follows: 1) A security reputation model using dynamic game theory is designed. The conclusion and outlook for the future are described in ‘‘Conclusions’’
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