A Blockchain-Enabled Image Encryption Protocol Based on Quantum Walk for Securing Industrial Internet of Things Environments
Abstract
The swift, secure transmission of data, especially sensitive data, such as that acquired from high-resolution image sensors, is a major focus of the Industrial Internet of Things (IIoT). Current strategies do not strike a balance between security and efficiency, causing messages to be lost and/or processing to be delayed to an unacceptable level. We present a new quantum-inspired quantum walk (Q-IQW) encryption protocol. The Q-IQW protocol is used to implement the first blockchain for the safe transfer of data between IIoT devices. For the first time, quantum hash functions based on Q-IQW are used to link blocks in a chain instead of traditional hash functions. The main contributions of the protocol are the efficient data transfer between IIoT nodes and the ability to fully control their data. This work focuses on simulating the protocol to understand the theoretical and empirical performance of the protocol. The results show that in terms of entropy of 7.99 and unified average changing intensity (UACI) of 33.56%, the protocol is very robust as evidenced by 99.58% number of pixel change rate (NPCR), and low correlation, i.e., the protocol exhibits very high security. Further, the protocol is reliable in that it can perfectly recover images under high distortion, for example, a 50% data occlusion in the encrypted images. These outcomes underscore the dependability, utility, and efficiency of the protocol in protecting IIoT information to make it a viable remedy for maintaining the integrity of the information during transfer and storage.
Fields of Study & Subjects
Blockchain Technology Applications and Security
Chaos-based Image/Signal Encryption
Quantum Computing Algorithms and Architecture
Publication details
- Journal / source
- IEEE Internet of Things Journal
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Volume
- 13
- Issue
- 6
- Pages
- 10652–10664
- Publication date
- 5 January 2026