Li, W, McLernon, D orcid.org/0000-0002-5163-1975, Lei, J et al. (3 more authors) (2019) Mathematical Model and Framework of Physical Layer Encryption for Wireless Communications. In: Proceedings of 2018 IEEE Globecom Workshops (GC Wkshps). 2018 IEEE Globecom Workshops (GC Wkshps), 09-13 Dec 2018, Abu Dhabi, United Arab Emirates. IEEE ISBN 978-1-5386-4920-6
Abstract
As a response to serious transmission security problems in wireless communications, physical layer encryption (PLE) provides an effective security measure which is very different from upper layer cryptography technologies. PLE can take advantage of the effects of channel and noise and the processing objects are complex vector signals, which are essentially different from Boolean algebra based traditional cryptography. This paper establishes mathematical models, design frameworks and cryptographic primitives for PLE. Two design frameworks are proposed: stream PLE and block PLE. For stream PLE, a new 3D security constellation mapping is derived. For block PLE, two types of sub-transforms are defined: isometry transformations and stochastic transformations. The proposed PLE framework has a large cipher signal space and key space; it provides more freedom in design and can resist known plaintext attacks and chosen-plaintext attacks.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 IEEE. This is an author produced version of a paper published in Proceedings of 2018 IEEE Globecom Workshops (GC Wkshps). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Physical layer encryption; Block PLE; Stream PLE; Isometry transformation; Stochastic transformation; PLE-block chaining |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 03 Oct 2018 14:24 |
Last Modified: | 07 May 2019 15:42 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/GLOCOMW.2018.8644193 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:136504 |