An Authentication Method Combining Blockchain and Subject-Sensitive Hashing for the Data Sharing of Remote Sensing Image

Abstract

Data sharing of remote sensing images promotes the development of remote sensing research and applications in various industries, but the sharing of remote sensing images has security issues such as piracy, leakage, and theft. The emergence of the blockchain has made it possible to solve the above problems. However, the hash function adopted by the blockchain can only verify the changes in the binary level of remote sensing images, and cannot reflect the changes of the content of remote sensing images. Aiming at the security problems in remote sensing image sharing, this paper combines blockchain and subject-sensitive hashing to build an authentication method for remote sensing images. In our method, subject-sensitive hash algorithm is used to calculate the hash value of remote sensing images, instead of using cryptographic hash function. Experiments show that our method is not only robust to operations that do not change the content of remote sensing images, but also can detect content tampering of the images.

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

“…Researchers like Yongfei Lv [8] have stored encrypted hash values of remote sensing images on the blockchain to protect digital copyright. 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.…”