DOAJ Open Access 2022

A New Subject-Sensitive Hashing Algorithm Based on MultiRes-RCF for Blockchains of HRRS Images

Kaimeng Ding Shiping Chen Jiming Yu Yanan Liu Jie Zhu

Abstrak

Aiming at the deficiency that blockchain technology is too sensitive to the binary-level changes of high resolution remote sensing (HRRS) images, we propose a new subject-sensitive hashing algorithm specially for HRRS image blockchains. To implement this subject-sensitive hashing algorithm, we designed and implemented a deep neural network model MultiRes-RCF (richer convolutional features) for extracting features from HRRS images. A MultiRes-RCF network is an improved RCF network that borrows the MultiRes mechanism of MultiResU-Net. The subject-sensitive hashing algorithm based on MultiRes-RCF can detect the subtle tampering of HRRS images while maintaining robustness to operations that do not change the content of the HRRS images. Experimental results show that our MultiRes-RCF-based subject-sensitive hashing algorithm has better tamper sensitivity than the existing deep learning models such as RCF, AAU-net, and Attention U-net, meeting the needs of HRRS image blockchains.

Topik & Kata Kunci

Industrial engineering. Management engineering Electronic computers. Computer science

Penulis (5)

Kaimeng Ding

Shiping Chen

Jiming Yu

Yanan Liu

Jie Zhu

Format Sitasi

APA MLA BibTeX

Ding, K., Chen, S., Yu, J., Liu, Y., Zhu, J. (2022). A New Subject-Sensitive Hashing Algorithm Based on MultiRes-RCF for Blockchains of HRRS Images. https://doi.org/10.3390/a15060213

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Informasi Jurnal

Tahun Terbit: 2022
Sumber Database: DOAJ
DOI: 10.3390/a15060213
Akses: Open Access ✓