All-in-One of Image Encryption, Identity Verification, and Photoelectric Watermark Based on Bidirectionally Photoresponsive Transistors
Herein, In<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub>O<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub>/Al<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub>O<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub>/Y<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">6</sub> transistors exhibiting bidirectional photoresponse (BPR) characteristic were fabricated. By utilizing this feature, XOR optoelectronic logic gate was successfully designed and applied in near-infrared (NIR) image encryption. Furthermore, an identity verification was proposed by binary encoding the current from different NIR and ultraviolet (UV) illumination combinations. Finally, a photoelectric watermark scheme responsive to UV light was proposed leveraging NIR’s non-volatile programming. The integration of a secure sensor strategy that encompasses image encryption, identity verification, and photoelectric watermark addresses the need for enhanced data protection and offering a comprehensive security solution for the Internet of Things (IoT).
Authors
- Wanlin Zhang (ORCID: https://orcid.org/0000-0002-2381-3798)
- Bowen Zhu (ORCID: https://orcid.org/0000-0001-7534-9723)
- Tonglong Zeng
- Xiaohua Ma (ORCID: https://orcid.org/0000-0002-1331-6253)
- Hong Wang (ORCID: https://orcid.org/0000-0002-0213-3523)
- Rui Wang (ORCID: https://orcid.org/0000-0003-3350-4312)
- Peilin Zhang (ORCID: https://orcid.org/0009-0001-5892-5714)
- Yue Hao (ORCID: https://orcid.org/0000-0002-8081-2919)
- Yan Chen (ORCID: https://orcid.org/0009-0000-5672-8488)
- Dingwei Li
- Xiaotao Jing
- D. H. Zhang
Institutions
- Xidian University (CN)
- Southern University of Science and Technology (CN)
- Westlake University (CN)
Publication Details
- Journal
- IEEE Electron Device Letters
- Published
- 2024-08-21
- DOI
- https://doi.org/10.1109/led.2024.3446872
- Citations
- 3
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.63
Funders
- National Natural Science Foundation of China