Optically Controlled MoS <sub>2</sub> Phase Conversion Memory-Based In-Sensor Computing Enables Higher Information Security
Data security has been playing an increasingly crucial role in diverse fields, such as industry, commerce, agriculture, and military defense. Conventional encryption technology involves complex circuits and designs of the algorithm. We propose a hybrid architecture enabled by two-terminal MoS2 optoelectronic memory for image encryption, yielding a successful attack rate (SAR) of 0.0% and a system link indicator D↔sys = 0.32. This merit is attributed to the light-dosage-induced phase change generation (HyMoSx) in MoS2 optoelectronic memory. Through precise control of the concentration of the HyMoSx ratio, the two-terminal optoelectronic memory can provide 128 short-term states and 256 long-term states to execute reservoir encoding and pixel compression, efficiently reducing the postencryption data stream and increasing data safety. This route provides a significant advantage in security, efficiency, and adaptability for data encryption in future information security.
Authors
- Jinchengyan Wang
- Y.T. Wang (ORCID: https://orcid.org/0000-0001-7237-1888)
- Bai Tao Sun (ORCID: https://orcid.org/0000-0002-5840-509X)
- Chaoyi Zhu (ORCID: https://orcid.org/0000-0001-5119-5512)
- Jinshun Bi (ORCID: https://orcid.org/0000-0003-0114-0040)
- Guangdong Zhou (ORCID: https://orcid.org/0000-0002-5824-9488)
- Changsong Gao
- Yu Xu
- Xuesen Xie
- Bochang Zhang
Institutions
- Ministry of Education of the People's Republic of China (CN)
- Southwest University (CN)
- Guizhou Normal University (CN)
- Chinese Academy of Sciences (CN)
- Frontier Science Foundation (CH)
- Fraunhofer Institute for Integrated Circuits (DE)
- Institute of Science and Technology
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- ACS Photonics
- Published
- 2025-11-28
- DOI
- https://doi.org/10.1021/acsphotonics.5c02164
- Citations
- 1
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 2.48