Article
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IRS Backscatter Based Secrecy Enhancement against Active Eavesdropping
Version 1
: Received: 6 December 2023 / Approved: 7 December 2023 / Online: 7 December 2023 (04:40:59 CET)
A peer-reviewed article of this Preprint also exists.
Miao, Y.; Shao, Y.; Zhang, J. IRS Backscatter-Based Secrecy Enhancement against Active Eavesdropping. Electronics 2024, 13, 265. Miao, Y.; Shao, Y.; Zhang, J. IRS Backscatter-Based Secrecy Enhancement against Active Eavesdropping. Electronics 2024, 13, 265.
Abstract
This paper proposes to combat active eavesdropping by intelligent reflecting surface (IRS) backscatter techniques. To be specific, the source (Alice) sends the confidential information to the intended user (Bob), while the eavesdropper (Willie) transmits jamming signal to interrupt the transmission for more data interception. To enhance the secrecy, an IRS is deployed and connected with Alice through fiber to transform the jamming signal into the confidential signal by employing backscatter techniques. Based on the considered model, an optimization problem is formulated to maximize signal-to-interference-plus-noise ratio (SINR) at Bob under the constraints of the transmit power at Alice, the reflection vector at the IRS and the allowable maximum SINR at Willie. To address the optimization problem, an alternate optimization algorithm is developed. The simulation results verify the achievable secrecy gain of the proposed scheme.
Keywords
Intelligent reflecting surface; backscatter; active eavesdropping; physical layer security
Subject
Engineering, Electrical and Electronic Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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