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Using Imperfect Semiconductor Systems for Unique Identification

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  • © 2017

Overview

  • Nominated as an outstanding PhD Thesis by the University of Lancaster
  • Provides basis for potentially very significant advances in secure identification
  • Gives accessible introductions both to the physics and the security aspects
  • Breakthrough work that has been recognized by UK research council's ICT Pioneers Award

Part of the book series: Springer Theses (Springer Theses)

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Table of contents (7 chapters)

Keywords

About this book

This thesis describes novel devices for the secure identification of objects or electronic systems. The identification relies on the the atomic-scale uniqueness of semiconductor devices by measuring a macroscopic quantum property of the system in question. Traditionally, objects and electronic systems have been securely identified by measuring specific characteristics: common examples include passwords, fingerprints used to identify a person or an electronic device, and holograms that can tag a given object to prove its authenticity. Unfortunately, modern technologies also make it possible to circumvent these everyday techniques.

Variations in quantum properties are amplified by the existence of atomic-scale imperfections. As such, these devices are the hardest possible systems to clone. They also use the least resources and provide robust security. Hence they have tremendous potential significance as a means of reliably telling the good guys from the bad.

Authors and Affiliations

  • Department of Physics, Lancaster University , Lancaster, United Kingdom

    Jonathan Roberts

Bibliographic Information

  • Book Title: Using Imperfect Semiconductor Systems for Unique Identification

  • Authors: Jonathan Roberts

  • Series Title: Springer Theses

  • DOI: https://doi.org/10.1007/978-3-319-67891-7

  • Publisher: Springer Cham

  • eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)

  • Copyright Information: Springer International Publishing AG 2017

  • Hardcover ISBN: 978-3-319-67890-0Published: 22 September 2017

  • Softcover ISBN: 978-3-319-88504-9Published: 18 May 2018

  • eBook ISBN: 978-3-319-67891-7Published: 14 September 2017

  • Series ISSN: 2190-5053

  • Series E-ISSN: 2190-5061

  • Edition Number: 1

  • Number of Pages: XV, 123

  • Number of Illustrations: 64 b/w illustrations, 8 illustrations in colour

  • Topics: Semiconductors, Security Science and Technology, Optical and Electronic Materials

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