低功率光电子神经形记忆器用于传感器内计算和多层硬件安全通信
Bo Sun1,2,3, Jinhao Zhang1,2,3, Jialin Meng1,2,3,4
1Shandong Key Laboratory of Next-Generation Semiconductor Technology and Systems, School of Integrated Circuits, Shandong University, Jinan, China.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|March 9, 2026
概括
本研究介绍了一种使用光电子设备的新型神经形态硬件加密系统. 它为海上通信等先进应用提供安全,低功耗的数据加密和身份验证.
科学领域:
- 光电学是指光电子产品.
- 神经形态计算是一种神经形态计算.
- 网络安全 网络安全
背景情况:
- 传统的加密方法与功率效率和安全漏洞作斗争.
- 神经形态计算硬件为高级加密提供了一个有希望的替代方案.
- 光电子设备为硬件级安全解决方案提供了独特的机会.
研究的目的:
- 使用光电子神经形态设备开发硬件级多维加密范式.
- 展示数字信息的安全和节能加密机制.
- 探索运动检测,传感器内计算和安全通信中的应用.
主要方法:
- 将ASCII字符编码为光学脉冲序列 (波长,持续时间,脉冲数).
- 使用光电子神经形态装置来物理模糊电反应.
- 训练一个卷积神经网络进行信号解密和认证.
- 构建海上通信场景的双重身份验证系统.
主要成果:
- 通过光电子神经形态系统实现了低能耗 (3.3 fJ).
- 在解密过程中证明了合法用户的高识别准确性 (97.4%).
- 显示了对未经授权的访问的稳定性,准确度低 (∼2.88%).
- 成功实施了海上通信的双层身份验证系统.
结论:
- 开发的神经形态光电子系统提供了安全和节能的加密解决方案.
- 该系统显示出下一代神经形态海上通信系统的巨大潜力.
- 整合运动感知,容器计算和光子加密可以提高通信安全性.
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