Laser Induced Speckle as a Foundation for Physical Security and Optical Computing
This work addresses security and computing challenges in photonics, offering a novel approach that could impact cryptographic hardware and optical computing, though it appears incremental as it builds on known speckle phenomena.
The paper tackles the problem of creating a physical root of trust for cryptography and a high-rate machine learning paradigm by exploiting laser-induced speckle from a semitransparent scattering medium, such as a large-core optical fiber, resulting in a dual-purpose photonic system.
We present a photonic system that exploits the speckle generated by the interaction of a laser source and a semitransparent scattering medium, in our case a large-core optical fiber, as a physical root of trust for cryptographic applications, while the same configuration can act as a high-rate machine learning paradigm.