Logo
ScienceStack
Table of Contents
Fetching ...
Sign In

Physical Layer Deception with Non-Orthogonal Multiplexing

Wenwen Chen, Bin Han, Yao Zhu, Anke Schmeink, Giuseppe Caire, Hans D. Schotten

TL;DR

This paper introduces Physical Layer Deception (PLD), a framework that actively counters eavesdropping by marrying physical layer security with deception and non-orthogonal multiplexing. It develops a two-stage encoder with randomized ciphering and a power-domain split between ciphertext and a deception key, optimized under short-packet, finite-blocklength constraints via a novel mm-BCD algorithm. The key theoretical result proves that optimal power allocation uses the full budget, and the optimization is decomposed into convex subproblems, enabling efficient real-time adaptation. Numerical results show PLD outperforms conventional PLS approaches in both secrecy and deception metrics, and discussions outline practical deployment, codec design, imperfect CSI handling, and extensions to OFDM and multi-access scenarios.

Abstract

Physical layer security (PLS) is a promising technology to secure wireless communications by exploiting the physical properties of the wireless channel. However, the passive nature of PLS creates a significant imbalance between the effort required by eavesdroppers and legitimate users to secure data. To address this imbalance, in this article, we propose a novel framework of physical layer deception (PLD), which combines PLS with deception technologies to actively counteract wiretapping attempts. Combining a two-stage encoder with randomized ciphering and non-orthogonal multiplexing, the PLD approach enables the wireless communication system to proactively counter eavesdroppers with deceptive messages. Relying solely on the superiority of the legitimate channel over the eavesdropping channel, the PLD framework can effectively protect the confidentiality of the transmitted messages, even against eavesdroppers who possess knowledge equivalent to that of the legitimate receiver. We prove the validity of the PLD framework with in-depth analyses and demonstrate its superiority over conventional PLS approaches with comprehensive numerical benchmarks.

Physical Layer Deception with Non-Orthogonal Multiplexing

TL;DR

This paper introduces Physical Layer Deception (PLD), a framework that actively counters eavesdropping by marrying physical layer security with deception and non-orthogonal multiplexing. It develops a two-stage encoder with randomized ciphering and a power-domain split between ciphertext and a deception key, optimized under short-packet, finite-blocklength constraints via a novel mm-BCD algorithm. The key theoretical result proves that optimal power allocation uses the full budget, and the optimization is decomposed into convex subproblems, enabling efficient real-time adaptation. Numerical results show PLD outperforms conventional PLS approaches in both secrecy and deception metrics, and discussions outline practical deployment, codec design, imperfect CSI handling, and extensions to OFDM and multi-access scenarios.

Abstract

Physical layer security (PLS) is a promising technology to secure wireless communications by exploiting the physical properties of the wireless channel. However, the passive nature of PLS creates a significant imbalance between the effort required by eavesdroppers and legitimate users to secure data. To address this imbalance, in this article, we propose a novel framework of physical layer deception (PLD), which combines PLS with deception technologies to actively counteract wiretapping attempts. Combining a two-stage encoder with randomized ciphering and non-orthogonal multiplexing, the PLD approach enables the wireless communication system to proactively counter eavesdroppers with deceptive messages. Relying solely on the superiority of the legitimate channel over the eavesdropping channel, the PLD framework can effectively protect the confidentiality of the transmitted messages, even against eavesdroppers who possess knowledge equivalent to that of the legitimate receiver. We prove the validity of the PLD framework with in-depth analyses and demonstrate its superiority over conventional PLS approaches with comprehensive numerical benchmarks.
Paper Structure (28 sections, 4 theorems, 36 equations, 8 figures, 3 tables, 1 algorithm)

This paper contains 28 sections, 4 theorems, 36 equations, 8 figures, 3 tables, 1 algorithm.

Table of Contents

  1. Introduction
  2. Related Works
  3. Problem Setup
  4. System Model
  5. Error Model
  6. Performance Metrices
  7. Strategy Optimization
  8. Proposed Approach
  9. Analyses
  10. Optimization Algorithm
  11. Real-Time Adaptation to Channel Dynamics
  12. Numerical Evaluation
  13. Superiority of Full-Power Transmission
  14. Deception Rate Surface
  15. Convergence Test of the Optimization Algorithm
  16. ...and 13 more sections

Key Result

Theorem 1

Given any $d_{\mathrm{K}}\geqslant 0$, the optimal power allocation must fulfill $P^{\mathrm{o}}_{\mathrm{M}}+P^{\mathrm{o}}_{\mathrm{K}}=P_\Sigma$.

Figures (8)

  • Figure 1: The transmitting scheme of Alice, with deceptive ciphering \ref{['subfig:alice_model_deception_active']} activated and \ref{['subfig:alice_model_deception_inactive']} deactivated, respectively.
  • Figure 2: The optimal combinations of $P_{\mathrm{M}}$ and $P_{\mathrm{K}}$ in case of $P_{\mathrm{\Sigma}}=10mW$, with $d_{\mathrm{K}} = 30$ (left) and $d_{\mathrm{K}} = 60$ (right).
  • Figure 3: Deception rate under full-power transmission with $\varepsilon^{\mathrm{th}}_{\mathrm{LF}}=0.5.$
  • Figure 4: The $R_{\mathrm{d}}$ surface and the search path, with $d_{\mathrm{M}}=16$ (left) and $d_{\mathrm{M}}=24$ (right).
  • Figure 5: Results of sensitivity test regarding $z_{\mathrm{Eve}}$.
  • ...and 3 more figures

Theorems & Definitions (12)

  • Theorem 1
  • proof
  • Lemma 1
  • proof
  • Lemma 2
  • proof
  • Theorem 2
  • proof
  • proof
  • proof
  • ...and 2 more