Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/89866
| Title: | Learning complex scattering media for optical encryption | Authors: | Zhou, L Xiao, Y Chen, W |
Issue Date: | 15-Sep-2020 | Source: | Optics letters, 15 Sept. 2020, v. 45, no. 18, p. 5279-5282 | Abstract: | Optical encryption has provided a new insight for securing information; however, it is always desirable that high security can be achieved to withstand the attacks. In this Letter, we propose a new method via learning complex scattering media for optical encryption. After the recordings through complex scattering media, a designed learning model is trained. The proposed method uses an optical setup with complex scattering media to experimentally record the ciphertexts and uses a learning model to generate security keys. During the decryption, the trained learning model with its parameters is applied as security keys. In addition, various parameters, e.g., virtual phase-only masks, can be flexibly applied to further enlarge key space. It is experimentally demonstrated that the proposed learning-based encryption approach possesses high security. The proposed method could open up a new research perspective for optical encryption. | Publisher: | Optical Society of America | Journal: | Optics letters | ISSN: | 0146-9592 | EISSN: | 1539-4794 | DOI: | 10.1364/OL.400174 | Rights: | Journal © 2020 Optical Society of America © 2020 Optical Society of America. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modifications of the content of this paper are prohibited. The following publication Lina Zhou, Yin Xiao, and Wen Chen, "Learning complex scattering media for optical encryption," Opt. Lett. 45, 5279-5282 (2020) is available at https://doi.org/10.1364/OL.400174. |
| Appears in Collections: | Journal/Magazine Article |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| a0739-n06_1334.pdf | Pre-Published version | 2.37 MB | Adobe PDF | View/Open |
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