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Achieving secrecy capacity of the Gaussian wiretap channel with polar lattices

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Title: Achieving secrecy capacity of the Gaussian wiretap channel with polar lattices
Authors: Liu, L
Yan, Y
Ling, C
Item Type: Journal Article
Abstract: In this paper, an explicit scheme of wiretap coding based on polar lattices is proposed to achieve the secrecy capacity of the additive white Gaussian noise (AWGN) wiretap channel. First, polar lattices are used to construct secrecy-good lattices for the mod-Λ s Gaussian wiretap channel (GWC). Then, we propose an explicit shaping scheme to remove this mod-Λ s front end and extend polar lattices to the genuine GWC. The shaping technique is based on the lattice Gaussian distribution, which leads to a binary asymmetric channel at each level for the multilevel lattice codes. By employing the asymmetric polar coding technique, we construct an AWGN-good lattice and a secrecy-good lattice with optimal shaping simultaneously. As a result, the encoding complexity for the sender and the decoding complexity for the legitimate receiver are both O(N log N log (log N)). The proposed scheme is proven to be semantically secure.
Issue Date: 1-Mar-2018
Date of Acceptance: 8-Jan-2018
URI: http://hdl.handle.net/10044/1/63004
DOI: 10.1109/TIT.2018.2794327
ISSN: 0018-9448
Publisher: Institute of Electrical and Electronics Engineers
Start Page: 1647
End Page: 1665
Journal / Book Title: IEEE Transactions on Information Theory
Volume: 64
Issue: 3
Copyright Statement: © 2018 IEEE. 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.
Sponsor/Funder: Commission of the European Communities
Funder's Grant Number: 317562
Keywords: Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Computer Science
Engineering
Gaussian wiretap channel
polar lattice
secrecy capacity
semantic security
CODES
CONSTRUCTION
Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Computer Science
Engineering
Gaussian wiretap channel
polar lattice
secrecy capacity
semantic security
CODES
CONSTRUCTION
0801 Artificial Intelligence and Image Processing
0906 Electrical and Electronic Engineering
1005 Communications Technologies
Networking & Telecommunications
Publication Status: Published
Online Publication Date: 2018-01-17
Appears in Collections:Electrical and Electronic Engineering
Faculty of Engineering