A coding approach with key-channel randomization for physical-layer authentication Choi, Jinho 2019, A coding approach with key-channel randomization for physical-layer authentication, IEEE transactions on information forensics and security, vol. 14, no. 1, pp. 175-185, doi: 10.1109/TIFS.2018.2847659. Attached Files Name Description MIMEType Size Downloads Title A coding approach with key-channel randomization for physical-layer authentication Author(s) Choi, Jinho orcid.org/0000-0002-4895-6680 Journal name IEEE transactions on information forensics and security Volume number 14 Issue number 1 Start page 175 End page 185 Total pages 11 Publisher IEEE Place of publication Piscataway, N.J. Publication date 2019-01 ISSN 1556-6013 Keyword(s) Science & Technology Technology Computer Science, Theory & Methods Engineering, Electrical & Electronic Computer Science Engineering Physical-layer authentication channel reciprocity channel coding SECRECY CAPACITY WIRETAP CHANNEL FADING CHANNELS CODES TRANSMISSION SECURITY Language eng DOI 10.1109/TIFS.2018.2847659 Field of Research 08 Information And Computing Sciences 09 Engineering HERDC Research category C1.1 Refereed article in a scholarly journal Copyright notice ©2018, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30114655 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Fri, 26 Oct 2018, 14:02:04 EST Sat, 27 Oct 2018, 04:02:24 EST Thu, 13 Dec 2018, 05:01:58 EST Wed, 09 Jan 2019, 11:20:09 EST Wed, 09 Jan 2019, 11:22:16 EST Filtered Full Citation counts:   Cited 14 times in TR Web of Science Cited 15 times in Scopus Search Google Scholar Access Statistics: 352 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Fri, 26 Oct 2018, 14:02:04 EST