Integrity Authentication Based on Blockchain and Perceptual Hash for Remote-Sensing Imagery

The integrity of remote-sensing image data is susceptible to corruption during storage and transmission. Perceptual hashing is a non-destructive data integrity-protection technique suitable for high-accuracy requirements of remote-sensing image data. However, the existing remote-sensing image percep...

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Main Authors: Dingjie Xu, Na Ren, Changqing Zhu
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/15/19/4860
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author Dingjie Xu
Na Ren
Changqing Zhu
author_facet Dingjie Xu
Na Ren
Changqing Zhu
author_sort Dingjie Xu
collection DOAJ
description The integrity of remote-sensing image data is susceptible to corruption during storage and transmission. Perceptual hashing is a non-destructive data integrity-protection technique suitable for high-accuracy requirements of remote-sensing image data. However, the existing remote-sensing image perceptual hash-authentication algorithms face security issues in storing and transmitting the original perceptual hash value. This paper proposes a remote-sensing image integrity authentication method based on blockchain and perceptual hash to address this problem. The proposed method comprises three parts: perceptual hash value generation, secure blockchain storage and transmission, and remote-sensing image integrity authentication. An NSCT-based perceptual hashing algorithm that considers the multi-band characteristics of remote-sensing images is proposed. A Perceptual Hash Secure Storage and Transmission Framework (PH-SSTF) is designed by combining Hyperledger Fabric and InterPlanetary File System (IPFS). The experimental results show that the method can effectively verify remote-sensing image integrity and tamper with the location. The perceptual hashing algorithm exhibits strong robustness and sensitivity. Meanwhile, the comparison results of data-tampering identification for multiple landscape types show that the algorithm has stronger stability and broader applicability compared with existing perceptual hash algorithms. Additionally, the proposed method provides secure storage, transmission, and privacy protection for the perceptual hash value.
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spelling doaj.art-de535645b41d4ef79c3028b273d7234f2023-11-19T15:00:58ZengMDPI AGRemote Sensing2072-42922023-10-011519486010.3390/rs15194860Integrity Authentication Based on Blockchain and Perceptual Hash for Remote-Sensing ImageryDingjie Xu0Na Ren1Changqing Zhu2Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing 210023, ChinaKey Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing 210023, ChinaKey Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing 210023, ChinaThe integrity of remote-sensing image data is susceptible to corruption during storage and transmission. Perceptual hashing is a non-destructive data integrity-protection technique suitable for high-accuracy requirements of remote-sensing image data. However, the existing remote-sensing image perceptual hash-authentication algorithms face security issues in storing and transmitting the original perceptual hash value. This paper proposes a remote-sensing image integrity authentication method based on blockchain and perceptual hash to address this problem. The proposed method comprises three parts: perceptual hash value generation, secure blockchain storage and transmission, and remote-sensing image integrity authentication. An NSCT-based perceptual hashing algorithm that considers the multi-band characteristics of remote-sensing images is proposed. A Perceptual Hash Secure Storage and Transmission Framework (PH-SSTF) is designed by combining Hyperledger Fabric and InterPlanetary File System (IPFS). The experimental results show that the method can effectively verify remote-sensing image integrity and tamper with the location. The perceptual hashing algorithm exhibits strong robustness and sensitivity. Meanwhile, the comparison results of data-tampering identification for multiple landscape types show that the algorithm has stronger stability and broader applicability compared with existing perceptual hash algorithms. Additionally, the proposed method provides secure storage, transmission, and privacy protection for the perceptual hash value.https://www.mdpi.com/2072-4292/15/19/4860perceptual hashblockchainremote-sensing imageintegrity authenticationHyperledger Fabric
spellingShingle Dingjie Xu
Na Ren
Changqing Zhu
Integrity Authentication Based on Blockchain and Perceptual Hash for Remote-Sensing Imagery
Remote Sensing
perceptual hash
blockchain
remote-sensing image
integrity authentication
Hyperledger Fabric
title Integrity Authentication Based on Blockchain and Perceptual Hash for Remote-Sensing Imagery
title_full Integrity Authentication Based on Blockchain and Perceptual Hash for Remote-Sensing Imagery
title_fullStr Integrity Authentication Based on Blockchain and Perceptual Hash for Remote-Sensing Imagery
title_full_unstemmed Integrity Authentication Based on Blockchain and Perceptual Hash for Remote-Sensing Imagery
title_short Integrity Authentication Based on Blockchain and Perceptual Hash for Remote-Sensing Imagery
title_sort integrity authentication based on blockchain and perceptual hash for remote sensing imagery
topic perceptual hash
blockchain
remote-sensing image
integrity authentication
Hyperledger Fabric
url https://www.mdpi.com/2072-4292/15/19/4860
work_keys_str_mv AT dingjiexu integrityauthenticationbasedonblockchainandperceptualhashforremotesensingimagery
AT naren integrityauthenticationbasedonblockchainandperceptualhashforremotesensingimagery
AT changqingzhu integrityauthenticationbasedonblockchainandperceptualhashforremotesensingimagery