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Article: Neuromorphic encryption: combining speckle correlography and event data for enhanced security
| Title | Neuromorphic encryption: combining speckle correlography and event data for enhanced security |
|---|---|
| Authors | |
| Keywords | computational neuromorphic imaging deep learning optical encryption speckle correlography |
| Issue Date | 1-Sep-2024 |
| Citation | Advanced Photonics Nexus, 2024, v. 3, n. 5 How to Cite? |
| Abstract | 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. |
| Persistent Identifier | http://hdl.handle.net/10722/360849 |
| ISSN |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Zhu, Shuo | - |
| dc.contributor.author | Wang, Chutian | - |
| dc.contributor.author | Huang, Jianqing | - |
| dc.contributor.author | Zhang, Pei | - |
| dc.contributor.author | Han, Jing | - |
| dc.contributor.author | Lam, Edmund Y. | - |
| dc.date.accessioned | 2025-09-16T00:30:53Z | - |
| dc.date.available | 2025-09-16T00:30:53Z | - |
| dc.date.issued | 2024-09-01 | - |
| dc.identifier.citation | Advanced Photonics Nexus, 2024, v. 3, n. 5 | - |
| dc.identifier.issn | 2791-1519 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/360849 | - |
| dc.description.abstract | <p>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.</p> | - |
| dc.language | eng | - |
| dc.relation.ispartof | Advanced Photonics Nexus | - |
| dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
| dc.subject | computational neuromorphic imaging | - |
| dc.subject | deep learning | - |
| dc.subject | optical encryption | - |
| dc.subject | speckle correlography | - |
| dc.title | Neuromorphic encryption: combining speckle correlography and event data for enhanced security | - |
| dc.type | Article | - |
| dc.description.nature | published_or_final_version | - |
| dc.identifier.doi | 10.1117/1.APN.3.5.056002 | - |
| dc.identifier.scopus | eid_2-s2.0-105002324961 | - |
| dc.identifier.volume | 3 | - |
| dc.identifier.issue | 5 | - |
