Secure Key Extraction for IoT Devices Integrating IEEE 802.15.4g/k Transceiver

  • Mi Kyung Oh
  • , Sangjae Lee
  • , Yousung Kang
  • , Dooho Choi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This paper provides secure key extraction for IoT devices equipped with IEEE 802.15.4g/k transceiver. Exploiting the transceiver as a source of secure key generation, we construct a new type of run-time static random access memory (SRAM) physically unclonable function (PUF) without additional hardware. The SRAM PUF responses are further processed by convolutional error correction code and interleaver for secure key reproduction. Our experiments show that the secure key extraction using our transceiver based SRAM PUF achieves a good performance at low-complexity, which makes it widely applicable to various IoT devices with security requirements.

Original languageEnglish
Title of host publication9th International Conference on Information and Communication Technology Convergence
Subtitle of host publicationICT Convergence Powered by Smart Intelligence, ICTC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages833-835
Number of pages3
ISBN (Electronic)9781538650400
DOIs
Publication statusPublished - 2018 Nov 16
Externally publishedYes
Event9th International Conference on Information and Communication Technology Convergence, ICTC 2018 - Jeju Island, Korea, Republic of
Duration: 2018 Oct 172018 Oct 19

Publication series

Name9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018

Other

Other9th International Conference on Information and Communication Technology Convergence, ICTC 2018
Country/TerritoryKorea, Republic of
CityJeju Island
Period18/10/1718/10/19

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • convolutional code
  • IEEE 802.15.4g/k
  • interleaver
  • IoT
  • Key
  • LECIM
  • run-time
  • SRAM PUF
  • SUN

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Artificial Intelligence

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