Abstract

Privacy protection and open sharing are the core of data governance in the AI-driven era. A common data-sharing management platform is indispensable in the existing data-sharing solutions, and users upload their data to the cloud server for storage and dissemination. However, from the moment users upload the data to the server, they will lose absolute ownership of their data, and security and privacy will become a critical issue. Although data encryption and access control are considered up-and-coming technologies in protecting personal data security on the cloud server, they alleviate this problem to a certain extent. However, it still depends too much on a third-party organization’s credibility, the Cloud Service Provider (CSP). In this paper, we combined blockchain, ciphertext-policy attribute-based encryption (CP-ABE), and InterPlanetary File System (IPFS) to address this problem to propose a blockchain-based security sharing scheme for personal data named BSSPD. In this user-centric scheme, the data owner encrypts the sharing data and stores it on IPFS, which maximizes the scheme’s decentralization. The address and the decryption key of the shared data will be encrypted with CP-ABE according to the specific access policy, and the data owner uses blockchain to publish his data-related information and distribute keys for data users. Only the data user whose attributes meet the access policy can download and decrypt the data. The data owner has fine-grained access control over his data, and BSSPD supports an attribute-level revocation of a specific data user without affecting others. To further protect the data user’s privacy, the ciphertext keyword search is used when retrieving data. We analyzed the security of the BBSPD and simulated our scheme on the EOS blockchain, which proved that our scheme is feasible. Meanwhile, we provided a thorough analysis of the storage and computing overhead, which proved that BSSPD has a good performance.

Highlights

  • The development of 5G and Internet of Things technology provides a large amount of training data for the rapid implementation of artificial intelligence (AI)

  • We have implemented our scheme on the EOS blockchain

  • The security and performance analysis proves that our scheme is feasible and practical and has a good performance

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Summary

Introduction

The development of 5G and Internet of Things technology provides a large amount of training data for the rapid implementation of artificial intelligence (AI). These schemes seem to solve the security and privacy issues during data sharing These schemes all have a standard feature: they are overly dependent on the Cloud Service Provider (CSP). From the above point of view, to better protect data security and personal privacy, it is very urgent to design a whole user-centric data-sharing scheme to solve the above problems. In this scheme, we do not need to rely on any trusted third party to store and disseminate data, nor do we worry that the data will be inaccessible.

Related Work
Preliminary
Overview of Our Scheme
Implementation Details of Our Scheme
Security and Privacy Analysis of BPSSD
Experiments and Performance Analysis of BPSSD
Conclusion
Full Text
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