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Sensing Security Oriented OFDM-ISAC Against Multi-Intercept Threats

Lingyun Xu, Bowen Wang, Huiyong Li, Ziyang Cheng

TL;DR

This paper addresses the sensing security problem in ISAC, particularly under the threat of multi-intercept adversaries, and introduces a novel ergodic cyclic spectrum metric which leverages the intrinsic mathematical structure of cyclostationary signals to more comprehensively characterize their behavior.

Abstract

In recent years, security has emerged as a critical aspect of integrated sensing and communication (ISAC) systems. While significant research has focused on secure communications, particularly in ensuring physical layer security, the issue of sensing security has received comparatively less attention. This paper addresses the sensing security problem in ISAC, particularly under the threat of multi-intercept adversaries. We consider a realistic scenario in which the sensing target is an advanced electronic reconnaissance aircraft capable of employing multiple signal interception techniques, such as power detection (PD) and cyclostationary analysis (CA). To evaluate sensing security under such sophisticated threats, we analyze two critical features of the transmitted signal: (i) power distribution and (ii) cyclic spectrum. Further, we introduce a novel ergodic cyclic spectrum metric which leverages the intrinsic mathematical structure of cyclostationary signals to more comprehensively characterize their behavior. Building on this analysis, we formulate a new ISAC design problem that explicitly considers sensing security, and we develop a low-complexity, efficient optimization approach to solve it. Simulation results demonstrate that the proposed metric is both effective and insightful, and that our ISAC design significantly enhances sensing security performance in the presence of multi-intercept threats.

Sensing Security Oriented OFDM-ISAC Against Multi-Intercept Threats

TL;DR

This paper addresses the sensing security problem in ISAC, particularly under the threat of multi-intercept adversaries, and introduces a novel ergodic cyclic spectrum metric which leverages the intrinsic mathematical structure of cyclostationary signals to more comprehensively characterize their behavior.

Abstract

In recent years, security has emerged as a critical aspect of integrated sensing and communication (ISAC) systems. While significant research has focused on secure communications, particularly in ensuring physical layer security, the issue of sensing security has received comparatively less attention. This paper addresses the sensing security problem in ISAC, particularly under the threat of multi-intercept adversaries. We consider a realistic scenario in which the sensing target is an advanced electronic reconnaissance aircraft capable of employing multiple signal interception techniques, such as power detection (PD) and cyclostationary analysis (CA). To evaluate sensing security under such sophisticated threats, we analyze two critical features of the transmitted signal: (i) power distribution and (ii) cyclic spectrum. Further, we introduce a novel ergodic cyclic spectrum metric which leverages the intrinsic mathematical structure of cyclostationary signals to more comprehensively characterize their behavior. Building on this analysis, we formulate a new ISAC design problem that explicitly considers sensing security, and we develop a low-complexity, efficient optimization approach to solve it. Simulation results demonstrate that the proposed metric is both effective and insightful, and that our ISAC design significantly enhances sensing security performance in the presence of multi-intercept threats.

Paper Structure

This paper contains 50 sections, 1 theorem, 49 equations, 15 figures, 1 algorithm.

Table of Contents

  1. Introduction
  2. Context and Motivation
  3. Related Work and Challenges
  4. ISAC Against Power Detection-Based Interception
  5. ISAC Against Feature Extraction-Based Interception
  6. Contributions
  7. Organization and Notations
  8. Organization
  9. Notations
  10. System Model
  11. Transmission Model
  12. Reception Model
  13. Communication Reception Model
  14. Radar Reception Model
  15. ER Aircraft Reception Model
  16. ...and 35 more sections

Key Result

Lemma 1

If $c_k^2 = c^2, \forall k$, the magnitude of ergodic cyclic spectrum eq:17 can be expressed as which can be regarded as nearly an diagonal matrix.

Figures (15)

  • Figure 1: An illustration of an OFDM-ISAC system with hybrid beamforming architecture at the transmitter in the presence of an advanced ER aircraft.
  • Figure 2: Cyclic spectrum of the AWGN.
  • Figure 3: Convergence performance of the proposed algorithm: (a) Objective function/residual errors versus the iteration number. (b) Weighted mainlobe level versus the iteration number; maximum nulling level versus the iteration number.
  • Figure 4: Sensing SINR versus the nulling level, with different weighted mainlobe level $\eta$.
  • Figure 5: Comparison of different schemes in terms of the SE versus transmit power.
  • ...and 10 more figures

Theorems & Definitions (4)

  • Definition 1
  • Remark 1
  • Remark 2
  • Lemma 1