Statistical Trend Analysis of Physically Unclonable Functions... - 9780367764791

Statistical Trend Analysis of Physically Unclonable FunctionsAn Approach via Text Mining\nAuthor(s): Behrouz Zolfaghari, Khodakhast Bibak, Takeshi Koshiba, Hamid R. Nemati, Pinaki Mitra\nFormat: Paperback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: CRC Press\nISBN-13: 9780367764791, 978-0367764791\nSynopsis\nPhysically 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.\n 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 PU.