神经形态加密:结合斑点相关成像和事件数据增强安全性

Shu Zhu, Chutian Wang, Jianqing Huang, Pei Zhang, Jing Han, Edmund Y. Lam
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引用次数: 0

摘要

.利用光学系统进行图像加密是一种很有前景的信息安全方法,因为它可以享受并行、高速传输和低功耗的加密特性。然而,现有的大多数光学加密系统都存在一个关键问题,即密文的维度与明文相同,这可能导致破解过程中明文与密文的形式完全相同。受计算神经形态成像(CNI)和斑点相关成像(speckle correlography)最新进展的启发,我们提出了一种神经形态加密技术,并通过原理验证实验进行了演示。原始图像可以通过高级信息转换形式光学加密为事件流密文。据我们所知,所提出的方法是首次实现事件驱动光学图像加密。由于 CNI 范式的加密数据级别高,光学设置简单,但反向散射过程复杂,我们的解决方案在实际安全应用中具有巨大潜力。这种方法推动了视觉信息的图像加密,并为斑点相关成像的 CNI 信息应用铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neuromorphic encryption: combining speckle correlography and event data for enhanced security
. Leveraging an optical system for image encryption is a promising approach to information security since one can enjoy parallel, high-speed transmission, and low-power consumption encryption features. However, most existing optical encryption systems involve a critical issue that the dimension of the ciphertexts is the same as the plaintexts, which may result in a cracking process with identical plaintext-ciphertext forms. Inspired by recent advances in computational neuromorphic imaging (CNI) and speckle correlography, a neuromorphic encryption technique is proposed and demonstrated through proof-of-principle experiments. The original images can be optically encrypted into event-stream ciphertext with a high-level information conversion form. To the best of our knowledge, the proposed method is the first implementation for event-driven optical image encryption. Due to the high level of encryption data with the CNI paradigm and the simple optical setup with a complex inverse scattering process, our solution has great potential for practical security applications. This method gives impetus to the image encryption of the visual information and paves the way for the CNI-informed applications of speckle correlography.
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