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

Abstract

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.

High-Resolution Remote Sensing Image Zero-Watermarking Algorithm Based on Blockchain and SDAE

“…In the future, building upon the groundwork laid out in this paper, further investigation will be conducted into the integration of blockchain technology with both zerowatermarking and perceptual hashing [35]. This comprehensive technical fusion aims to not only enhance copyright protection but also ensure data integrity.…”

Blockchain-Based Method for Spatial Retrieval and Verification of Remote Sensing Images

“…Currently, the primary methods for protecting remote sensing image data are categorized into digital signature technology and digital watermarking [8,9]. Digital signature technology is mainly used to verify data integrity and confirm the identity of the data sender [10].…”

“…The security performance of digital signatures, highly effective in detecting even minor changes in remote sensing image, largely depends on key management and the choice of encryption algorithms. With the advancement of computing capabilities and the development of quantum computing, these technologies need continuous updates and maintenance to ensure their long-term security [9].…”

“…Kaimeng Ding [18] proposed an authentication method combining subject-sensitive hash with blockchain for remote sensing images, focusing on image content's main features for robust security. Despite blockchain's storage limitations, Dingjie Xu [9] suggested a method integrating blockchain technology with perceptual hashing, storing the perceptual hash value of images in IPFS and recording the storage address on the blockchain. This approach effectively reduces the storage pressure on the blockchain, leveraging IPFS's efficient storage capabilities.…”

TMCD: Threshold multi-channel prior-based defogging algorithm for underground coal mine images

“…The perceptual hashing method can be employed to compare the similarity between the current frame and the previous one, determining whether the current dehazing parameters can be retained. Furthermore, the perceptual hashing method converts images or video frames into grayscale to simplify computational load and accelerate algorithm execution 45 . The implementation principle of the perceptual hashing algorithm is illustrated in the Figure 3.…”