Название: Statistical Trend Analysis of Physically Unclonable Functions: An Approach via Text Mining
Автор: Behrouz Zolfaghari, Khodakhast Bibak
Издательство: CRC Press
Год: 2021
Страниц: 161
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
Physically Unclonable Functions (PUFs) translate unavoidable variations in certain parameters of materials, waves, or devices into random and unique signals. They have found many applications in the Internet of Things (IoT), authentication systems, FPGA industry, several other areas in communications and related technologies, and many commercial products. Statistical Trend Analysis of Physically Unclonable Functions first presents a review on cryptographic hardware and hardware-assisted cryptography. The review highlights PUF as a mega trend in research on cryptographic hardware design. Afterwards, the authors present a combined survey and research work on PUFs using a systematic approach.