A Privacy Protection Scheme for IoT Big Data Based on Time and Frequency Limitation

Author:

Zhang Lei123ORCID,Huo Yu13ORCID,Ge Qiang23,Ma Yuxiang13ORCID,Liu Qiqi3,Ouyang Wenlei3ORCID

Affiliation:

1. Henan Key Laboratory of Big Data Analysis and Processing, Henan University, Kaifeng 475004, China

2. Institute of Data and Knowledge Engineering, Henan University, Kaifeng 475004, China

3. School of Computer and Information Engineering, Henan University, Kaifeng 475004, China

Abstract

Various applications of the Internet of Things assisted by deep learning such as autonomous driving and smart furniture have gradually penetrated people’s social life. These applications not only provide people with great convenience but also promote the progress and development of society. However, how to ensure that the important personal privacy information in the big data of the Internet of Things will not be leaked when it is stored and shared on the cloud is a challenging issue. The main challenges include (1) the changes in access rights caused by the flow of manufacturers or company personnel while sharing and (2) the lack of limitation on time and frequency. We propose a data privacy protection scheme based on time and decryption frequency limitation that can be applied in the Internet of Things. Legitimate users can obtain the original data, while users without a homomorphic encryption key can perform operation training on the homomorphic ciphertext. On the one hand, this scheme does not affect the training of the neural network model, on the other hand, it improves the confidentiality of data. Besides that, this scheme introduces a secure two-party agreement to improve security while generating keys. While revoking, each attribute is specified for the validity period in advance. Once the validity period expires, the attribute will be revoked. By using storage lists and setting tokens to limit the number of user accesses, it effectively solves the problem of data leakage that may be caused by multiple accesses in a long time. The theoretical analysis demonstrates that the proposed scheme can not only ensure safety but also improve efficiency.

Funder

Key Scientific Research Project of Colleges and Universities in Henan Province

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

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