Deep-learning-based ciphertext-only attack on optical double random phase encryption  

作　　者：Meihua Liao Shanshan Zheng Shuixin Pan Dajiang Lu Wenqi He Guohai Situ Xiang Peng 

机构地区：[1]Key Laboratory of Optoelectronic Devices and System of Ministry of Education and Guangdong Province,College of Physics and Optoelectronic Engineering,Shenzhen University,Shenzhen 518060,China [2]Shanghai Institute of Optics and Fine Mechanics,Chinese Academy of Sciences,Shanghai 201800,China [3]Center of Materials Science and Optoelectronics Engineering,University of Chinese Academy of Sciences,Beijing 100049,China [4]Hangzhou Institute for Advanced Study,University of Chinese Academy of Sciences,Hangzhou 310000,China.

出　　处：《Opto-Electronic Advances》2021年第5期12-23,共12页光电进展（英文）

基　　金：financial supports from the National Natural Science Foundation of China(NSFC)(62061136005,61705141,61805152,61875129,61701321);Sino-German Research Collaboration Group(GZ 1391);the Mobility program(M-0044)sponsored by the Sino-German Center;Chinese Academy of Sciences(QYZDB-SSW-JSC002);Science and Technology Innovation Commission of Shenzhen(JCYJ20170817095047279)。

摘　　要：Optical cryptanalysis is essential to the further investigation of more secure optical cryptosystems.Learning-based at-tack of optical encryption eliminates the need for the retrieval of random phase keys of optical encryption systems but it is limited for practical applications since it requires a large set of plaintext-ciphertext pairs for the cryptosystem to be at-tacked.Here,we propose a two-step deep learning strategy for ciphertext-only attack(COA)on the classical double ran-dom phase encryption(DRPE).Specifically,we construct a virtual DRPE system to gather the training data.Besides,we divide the inverse problem in COA into two more specific inverse problems and employ two deep neural networks(DNNs)to respectively learn the removal of speckle noise in the autocorrelation domain and the de-correlation operation to retrieve the plaintext image.With these two trained DNNs at hand,we show that the plaintext can be predicted in real-time from an unknown ciphertext alone.The proposed learning-based COA method dispenses with not only the retrieval of random phase keys but also the invasive data acquisition of plaintext-ciphertext pairs in the DPRE system.Numerical simulations and optical experiments demonstrate the feasibility and effectiveness of the proposed learning-based COA method.

关 键 词：optical encryption random phase encoding ciphertext-only attack deep learning 

分 类 号：TN918.4[电子电信—通信与信息系统] TP18[电子电信—信息与通信工程]