Statistical Trend Analysis of Physically Unclonable Functions: An Approach via Text Mining

Physically Unclonable Functions (PUFs) are random and unique signals generated by unavoidable variations in materials, waves, or devices, with applications in the Internet of Things, authentication systems, FPGA industry, and commercial products. This book presents a novel trend analysis approach using text mining and statistical analysis to identify the most popular topics in four domains over the history of PUFs, recent years, top conferences, and top journals. It provides concrete evidence to the future direction of research on PUFs and appeals to researchers in text mining, cryptography, hardware security, and IoT.

Format: Hardback
Length: 148 pages
Publication date: 25 March 2021
Publisher: Taylor & Francis Ltd

Physically Unclonable Functions (PUFs) are a revolutionary technology that harnesses the inherent variations in materials, waves, or devices to generate random and unique signals. These unique characteristics make PUFs highly valuable in various applications, including the Internet of Things (IoT), authentication systems, the FPGA industry, communications, and related technologies.

In this comprehensive book, the authors delve into the realm of PUFs, providing a comprehensive review of cryptographic hardware and hardware-assisted cryptography. They highlight PUFs as a mega trend in research on cryptographic hardware design, emphasizing their significance in enhancing security and privacy.

The book then presents a combined survey and research work on PUFs, employing a systematic approach. The survey aspect includes a state-of-the-art analysis, a taxonomy on PUFs, a life cycle, and an established ecosystem for the technology. Additionally, the book explores the evolutionary history of PUFs, offering strategies for further research in this field.

In the research section, the book presents a novel approach for trend analysis that can be applied to any technology or research area. The authors employ a text mining tool to extract 1020 keywords from the titles of sample papers, which are then classified into 295 meaningful research topics. The popularity of each topic is measured and analyzed over time through statistical analysis of the number of research papers related to the topic and their citations.

The authors identify the most popular topics in four different domains: over the history of PUFs, during the recent years, in top conferences, and in top journals. The results are used to present an evolution study and a trend analysis, shedding light on the current state and future directions of PUFs in various applications.

This book is a valuable resource for researchers, engineers, and practitioners interested in enhancing security, privacy, and reliability in various systems and technologies. It provides a deep understanding of PUFs, their applications, and the trend analysis approach, enabling readers to stay at the forefront
forefront of this rapidly evolving field.

Weight: 318g
Dimension: 144 x 223 x 17 (mm)
ISBN-13: 9780367754556