Gupta, B B, Almomani, A, Gu, Jiaxin, Zheng, Wenying, Vijayakumar, Pandi and Sivaraman, Audithan (2023) Towards Intelligent Data Processing: A Verifiable and Lightweight Searchable Encryption Scheme with Constant Client-Side Storage Cost. Human-centric Computing and Information Sciences, 13: 53.
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Abstract
The practicality and mature technology of the smart cloud have promoted the development of cloud computing, making cloud infrastructure an important platform for processing data. Then searchable encryption technology was proposed to realize ciphertext retrieval and improve data retrieval efficiency. Widespread utilization of the cloud is hindered by security and efficiency, especially in the background of the massive datasets and frequent operations. In response to the above problems, we propose a verifiable and lightweight searchable encryption (VL-SE) scheme with a two-level index structure. This structure helps improve the efficiency of data retrieval, and the special pointers inserted into the structure ensure the security of the information. We also introduce a multi-set hash function to guarantee the correctness of the information. Moreover, the local state is set to effectively decrease the storage cost of the client and helps achieve forward and backward security. We conduct an experiment and present the security analysis to prove that our VL-SE scheme can process intelligent data safely and efficiently.
Affiliation: | Skyline University College |
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SUC Author(s): | Gupta, B B and Almomani, A ORCID: https://orcid.org/0000-0002-8808-6114 |
All Author(s): | Gupta, B B, Almomani, A, Gu, Jiaxin, Zheng, Wenying, Vijayakumar, Pandi and Sivaraman, Audithan |
Item Type: | Article |
Uncontrolled Keywords: | Intelligent Data Processing, Ciphertext Retrieval, Verifiability, Forward & Backward Security, Constant Storage Overhead, Two-level Structure, Smart Cloud |
Subjects: | B Information Technology > BM Artificial Intelligence B Information Technology > BQ Data Analytics B Information Technology > BV Cloud Computing |
Divisions: | Skyline University College > School of IT |
Depositing User: | Mr Mosys Team |
Date Deposited: | 29 Jan 2024 07:02 |
Last Modified: | 29 Jan 2024 07:02 |
URI: | https://research.skylineuniversity.ac.ae/id/eprint/808 |
Publisher URL: | https://doi.org/10.22967/HCIS.2023.13.053 |
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