000			a
999			_c31032 _d31032
008			220528b xxu||||| |||| 00| 0 eng d
020			_a9780367754556
082			_a005.82 _bZOL
100			_aZolfaghari, Behrouz
245			_aStatistical trend analysis of physically unclonable functions : an approach via text mining
260			_bCRC Press, _c2021 _aBoca Raton :
300			_axii, 148 p. ; _bill., _c22 cm
365			_b44.99 _cGBP _d102.80
504			_aIncludes bibliographical references and index.
520			_aPhysically 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.
650			_aBibliometrics
650			_aBibliographical citations
650			_aCase studies
650			_aData mining
650			_aComputer science
650			_aSecurity
650			_a Crytography
650			_aDatabase Management
650			_a Crytography
650			_a Cryptographic arithmetic modules
650			_aElliptic-curve cryptography
650			_aLinear feedback shift registers
650			_a Random number generation
650			_a Stream cipher
650			_a PUF taxonomy
700			_aBibak, Khodakhast
700			_aKoshiba, Takeshi
700			_aNemati, Hamid R
700			_aMitra, Pinaki
942			_2ddc _cBK