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Zhou, Z., Wan, Y., Cui, Q., Yu, K., Mumtaz, S. 
ORCID: 0000-0001-6364-6149, Yang, C.-N. and Guizani, M.,
2023.
Blockchain-based secure and efficient secret image sharing with outsourcing computation in wireless networks.
IEEE Transactions on Wireless Communications.
ISSN 1536-1276
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Abstract
Secret Image Sharing (SIS) is the technology that shares any given secret image by generating and distributing n shadow images in the way that any subset of k shadow images can restore the secret image. However, in the existing SIS schemes, the shadow images will be easily tampered and corrupted during the communication, which will pose serious security issues. Recently, blockchain has emerged as a promising paradigm in the field of data communication and information security. To securely communicate and effectively protect the secret image data in wireless networks, we propose a Blockchain-based Secure and Efficient Secret Image Sharing (BC-SESIS) scheme with outsourcing computation in wireless networks. In the proposed BC-SESIS scheme, the shadow images are encrypted and stored in the blockchain to prevent them from being tampered and corrupted. The identity authentication-enabled smart contract is deployed to achieve the ( k, n ) threshold for secret image restoring. Furthermore, to reduce the computational burden of smart contract and users, an efficient outsourcing computation method is designed to outsource the restoring task, which is securely implemented by agent miners in the encryption domain. Theoretical analysis and extensive experiments demonstrate that the BC-SESIS scheme can achieve desirable communication security and high computational efficiency in the wireless networks.
| Item Type: | Journal article | ||||||
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| Publication Title: | IEEE Transactions on Wireless Communications | ||||||
| Creators: | Zhou, Z., Wan, Y., Cui, Q., Yu, K., Mumtaz, S., Yang, C.-N. and Guizani, M. | ||||||
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) | ||||||
| Date: | 25 May 2023 | ||||||
| ISSN: | 1536-1276 | ||||||
| Identifiers: |
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| Rights: | © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works | ||||||
| Divisions: | Schools > School of Science and Technology | ||||||
| Record created by: | Laura Ward | ||||||
| Date Added: | 09 Jun 2023 08:43 | ||||||
| Last Modified: | 09 Jun 2023 08:43 | ||||||
| URI: | https://irep.ntu.ac.uk/id/eprint/49153 |
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