He Yu, Yunlu Lian, Chong Yang, Shengwang Jia, Wanshun Luo, Zongkai Yan, Jiayue Han, Jun Gou, Yadong Jiang, Jun Wang
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引用次数: 0
Abstract
The transmission of image data in the Internet of Things (IoT) faces growing challenges in security and privacy protection. Traditional optical encryption methods, which typically rely on single- or dual-channel signal processing, are insufficient for large-scale, high-throughput data transmission, necessitating advanced solutions. Here, the study presents a multi-channel encryption strategy based on bias-selective configuration, realized through an on-chip integrated multi-channel pixel-level image encryption system using a Se0.25Te0.75/Si photodiode array as the encryption hardware. By calibrating the silent-state bias as the encryption key, the system transcends the constraints of dual-channel approaches, enabling scalable encryption for n ≥ 3 channels. This method is demonstrated in the high-security transmission of both static and dynamic images. Notably, the three-channel system achieves a remarkable entropy increase of 1.3 and a correlation coefficient of 0.069, providing a significant enhancement in encryption strength over traditional single or dual-channel systems. With the expansion of the detector array size and the number of optical channels, the encryption level can be further amplified. This work introduces a transformative paradigm for optical communication encryption, with profound implications for fields such as autonomous driving, IoT, and other security-critical applications.
期刊介绍:
Firmly established as a top-tier materials science journal, Advanced Functional Materials reports breakthrough research in all aspects of materials science, including nanotechnology, chemistry, physics, and biology every week.
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