Wang Jiaao, Wang Dongfei
Opt Express. 2024 May 20;32(11):19424-19437. doi: 10.1364/OE.520504.
Optical encryption methods, due to their efficient operation speed and parallel processing capabilities, hold significant importance in securing multidimensional and large-volume data. Enhancing the security of optical cryptosystems from the perspective of cryptanalysis holds significant importance currently. Presently, attack methods against optical encryption are complex, and the effectiveness of these attacks is insufficient. Security analysis solutions face limitations in both breadth and depth. Therefore, this paper proposes an attack on optical cryptosystems based on a skip connection network, demonstrating the susceptibility of optical cryptosystems to attacks based on neural network algorithms. The network model is trained on plaintext-ciphertext pairs, fitting equivalent keys without various additional conditions. It approximates plaintext information in high-dimensional space, directly obtaining corresponding plaintext through ciphertext information, expanding the applicability and enhancing the effectiveness of the attack scheme. Finally, the feasibility and effectiveness of the attack scheme were verified through computer simulations. The experiments indicate that the method proposed in this paper has low computational complexity, wide applicability, produces high-quality decrypted images, and high decipherment accuracy. This provides a universal approach for analyzing the security of various optical cryptosystems from the perspective of chosen plaintext attacks.
光学加密方法因其高效的运算速度和并行处理能力，在保护多维和大容量数据方面具有重要意义。从密码分析的角度增强光学密码系统的安全性目前具有重要意义。目前，针对光学加密的攻击方法复杂，且这些攻击的有效性不足。安全分析解决方案在广度和深度上都面临局限性。因此，本文提出了一种基于跳跃连接网络的对光学密码系统的攻击方法，证明了光学密码系统对基于神经网络算法的攻击的易受性。该网络模型在明文 - 密文对上进行训练，无需各种附加条件即可拟合等效密钥。它在高维空间中逼近明文信息，通过密文信息直接获取相应明文，扩展了攻击方案的适用性并提高了其有效性。最后，通过计算机模拟验证了攻击方案的可行性和有效性。实验表明，本文提出的方法计算复杂度低、适用性广、能产生高质量的解密图像且解密精度高。这为从选择明文攻击的角度分析各种光学密码系统的安全性提供了一种通用方法。
