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一种用于工业物联网的基于区块链的安全图像加密方案。

A Blockchain-Based Secure Image Encryption Scheme for the Industrial Internet of Things.

作者信息

Khan Prince Waqas, Byun Yungcheol

机构信息

Department of Computer Engineering, Jeju National University, Jeju-si 690-011, Korea.

出版信息

Entropy (Basel). 2020 Feb 4;22(2):175. doi: 10.3390/e22020175.

Abstract

Smart cameras and image sensors are widely used in industrial processes, from the designing to the quality checking of the final product. Images generated by these sensors are at continuous risk of disclosure and privacy breach in the industrial Internet of Things (IIoT). Traditional solutions to secure sensitive data fade in IIoT environments because of the involvement of third parties. Blockchain technology is the modern-day solution for trust issues and eliminating or minimizing the role of the third party. In the context of the IIoT, we propose a permissioned private blockchain-based solution to secure the image while encrypting it. In this scheme, the cryptographic pixel values of an image are stored on the blockchain, ensuring the privacy and security of the image data. Based on the number of pixels change rate (NPCR), the unified averaged changed intensity (UACI), and information entropy analysis, we evaluate the strength of proposed image encryption algorithm ciphers with respect to differential attacks. We obtained entropy values near to an ideal value of 8, which is considered to be safe from brute force attack. Encrypted results show that the proposed scheme is highly effective for data leakage prevention and security.

摘要

智能相机和图像传感器在工业生产过程中广泛应用,涵盖从产品设计到最终产品质量检测的各个环节。在工业物联网(IIoT)中,这些传感器生成的图像始终面临着被泄露和侵犯隐私的风险。由于涉及第三方,传统的保护敏感数据的解决方案在工业物联网环境中逐渐失效。区块链技术是解决信任问题以及消除或最小化第三方作用的现代解决方案。在工业物联网的背景下,我们提出一种基于许可私有区块链的解决方案,在对图像进行加密的同时确保其安全。在该方案中,图像的加密像素值存储在区块链上,从而确保图像数据的隐私性和安全性。基于像素变化率(NPCR)、统一平均变化强度(UACI)和信息熵分析,我们针对差分攻击评估了所提出的图像加密算法密码的强度。我们获得的熵值接近理想值8,这被认为可抵御暴力攻击。加密结果表明,所提出的方案在防止数据泄露和保障安全方面非常有效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87a4/7516591/93a342bdd133/entropy-22-00175-g001.jpg

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