Statistical trend analysis of physically unclonable functions : an approach via text mining
- Boca Raton : CRC Press, 2021
- xii, 148 p. ; ill., 22 cm
Includes bibliographical references and index.
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. As part of the survey aspect, a state-of-the-art analysis is presented as well as a taxonomy on PUFs, a life cycle, and an established ecosystem for the technology. In another part of the survey, the evolutionary history of PUFs is examined, and strategies for further research in this area are suggested.
9780367754556
Bibliometrics Bibliographical citations Case studies Data mining Computer science Security Crytography Database Management Crytography Cryptographic arithmetic modules Elliptic-curve cryptography Linear feedback shift registers Random number generation Stream cipher PUF taxonomy