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author:

Li, Yingying (Li, Yingying.) [1] | Ma, Jianfeng (Ma, Jianfeng.) [2] | Miao, Yinbin (Miao, Yinbin.) [3] | Liu, Ximeng (Liu, Ximeng.) [4] | Jiang, Qi (Jiang, Qi.) [5]

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Abstract:

In the traditional cloud computing system, existing ranked image search mechanisms will leak the similarity of search results, even cannot prevent malicious cloud servers from tampering with or forging results. Therefore, with the help of blockchain technology, we propose an encrypted image storage and search system. A threshold encryption method based on the matrix similarity transformation theory is designed to protect the similarity of search results. Besides, a hybrid storage structure based on blockchain and cloud server is designed to ensure the correctness and completeness of search results. Finally, we implement the prototype in Python and Solidity, and conduct performance evaluations on local Ethereum client. The theoretical analysis and performance evaluations using the real-world dataset demonstrate that our proposed system is secure and feasible. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keyword:

Cloud computing Computation theory Cryptography Linear transformations Search engines Smart contract

Community:

  • [ 1 ] [Li, Yingying]School of Cyber Engineering, Xidian University, Xi’an, China
  • [ 2 ] [Ma, Jianfeng]School of Cyber Engineering, Xidian University, Xi’an, China
  • [ 3 ] [Miao, Yinbin]School of Cyber Engineering, Xidian University, Xi’an, China
  • [ 4 ] [Liu, Ximeng]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China
  • [ 5 ] [Jiang, Qi]School of Cyber Engineering, Xidian University, Xi’an, China

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Source :

ISSN: 0302-9743

Year: 2022

Volume: 13245 LNCS

Page: 413-421

Language: English

0 . 4 0 2

JCR@2005

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 5

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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