Contents
2021
Volume: 4 Issue 5
3 Article(s)

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Original Article
Deep-learning-based ciphertext-only attack on optical double random phase encryption
Meihua Liao, Shanshan Zheng, Shuixin Pan, Dajiang Lu..., Wenqi He, Guohai Situ and Xiang Peng|Show fewer author(s)
Optical cryptanalysis is essential to the further investigation of more secure optical cryptosystems. Learning-based attack 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 plainte
Opto-Electronic Advances
  • Publication Date: May. 20, 2021
  • Vol. 4, Issue 5, 200016-1 (2021)
Ultra-high resolution strain sensor network assisted with an LS-SVM based hysteresis model
Tao Liu, Hao Li, Tao He, Cunzheng Fan..., Zhijun Yan, Deming Liu and Qizhen Sun|Show fewer author(s)
Optical fiber sensor network has attracted considerable research interests for geoscience applications. However, the sensor capacity and ultra-low frequency noise limits the sensing performance for geoscience data acquisition. To achieve a high-resolution and lager sensing capacity, a strain sensor network is proposed
Opto-Electronic Advances
  • Publication Date: May. 20, 2021
  • Vol. 4, Issue 5, 200037-1 (2021)