Encryption Scheme of Verifiable Search Based on Blockchain in Cloud Environment

Author:

He Buzhen1ORCID,Feng Tao1ORCID

Affiliation:

1. School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China

Abstract

While transferring data to cloud servers frees users from having to manage it, it eventually raises new problems, such as data privacy. The concept of searchable encryption has drawn more and more focus in research as a means of resolving the tension between data accessibility and data privacy. Due to the lack of integrity and correctness authentication in most searchable encryption techniques, malicious cloud servers may deliver false search results to users. Based on public key encryption with searching (PEKS), the study suggests a privacy-preserving method for verifiable fuzzy keyword searches based on the Ethernet blockchain in a cloud context to overcome the aforementioned security concerns. The search user can check the accuracy and integrity of the query document using the unalterability characteristics of the Ethernet blockchain system in this scheme to prevent the cloud server from giving incorrect query results. Furthermore, a fair transaction between the cloud server and the data user is achieved and can be tracked back to the malicious user using hash functions and Ethereum smart contracts, even if the user or the cloud is malicious. Finally, the security analysis shows that, under the random oracle model, our technique fulfils the adaptive selection keyword’s semantic security. The performance assessment demonstrates that the proposed scheme outperforms other related schemes in terms of computational efficiency.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Applied Mathematics,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Software

Reference34 articles.

1. Curtmola, R., Garay, J., and Kamara, S. (November, January 30). Searchable symmetric encryption: Improved definitions and efficient constructions. Proceedings of the 13th ACM Conference on Computer and Communications Security, Alexandria, VA, USA.

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5. Hu, D., and Yin, A. (J. Intell. Fuzzy Syst., 2021). Efficient fuzzy keyword search scheme over encrypted data in cloud computing based on B ed-tree index structure, J. Intell. Fuzzy Syst., preprint.

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