eprintid: 4001
rev_number: 15
eprint_status: archive
userid: 17
dir: disk0/00/00/40/01
datestamp: 2020-07-10 05:40:31
lastmod: 2020-07-10 05:41:33
status_changed: 2020-07-10 05:41:33
type: conference_item
metadata_visibility: show
creators_name: Bui Minh, Tuan
creators_name: Ta Duc, Tuyen
creators_name: Nguyen Linh, Trung
creators_name: Nguyen Viet, Ha
creators_id: tuanbm.uet@vnu.edu.vn
creators_id: tuyentd@vnu.edu.vn
creators_id: linhtrung@vnu.edu.vn
creators_id: hanv@vnu.edu.vn
title: Autoencoder based friendly jamming
ispublished: pub
subjects: ECE
subjects: IT
divisions: avitech
divisions: fac_fet
divisions: fac_fit
abstract: Physical layer security (PLS) provides lightweight security solutions in which security is achieved based on the inherent random characteristics of the wireless medium. In this paper, we consider the PLS approach called friendly jamming (FJ), which is more practical thanks to its low computational complexity. State-of-the-art methods require that legitimate users have full channel state information(CSI)of their channel.Thanks to the recent promising application of the autoencoder (AE) in communication, we propose a new FJ method for PLS using AE without prior knowledge of the CSI. The proposed AE-based FJ method can provide good secrecy performance while avoiding explicit CSI estimation. We also apply the recently proposed tool for mutual information neural estimation (MINE) to evaluate the secrecy capacity. Moreover, we leverage MINE to avoid end-to-end learning in AE-based FJ.
date: 2020-05
contact_email: linhtrung@vnu.edu.vn
full_text_status: none
pres_type: paper
event_title: IEEE Wireless Communications and Networking Conference (WCNC)
event_location: Seoul, South Korea
event_dates: May 2020
event_type: conference
refereed: TRUE
citation:   Bui Minh, Tuan and Ta Duc, Tuyen and Nguyen Linh, Trung and Nguyen Viet, Ha  (2020) Autoencoder based friendly jamming.  In: IEEE Wireless Communications and Networking Conference (WCNC), May 2020, Seoul, South Korea.