Dual-Domain Constraints: Designing Covert and Efficient Adversarial Examples for Secure Communication

TL;DR

This paper introduces a novel dual-domain constrained framework for generating covert and efficient adversarial examples in wireless communication, enhancing privacy protection against signal interception.

Contribution

It proposes a new method for creating adversarial signals with constraints in both time and frequency domains, improving concealment and robustness.

Findings

Outperforms existing adversarial generation methods

Ensures adversarial signals are hard to filter out

Enhances privacy in wireless communications

Abstract

The advancements in Automatic Modulation Classification (AMC) have propelled the development of signal sensing and identification technologies in non-cooperative communication scenarios but also enable eavesdroppers to effectively intercept user signals in wireless communication environments. To protect user privacy in communication links, we have optimized the adversarial example generation model and introduced a novel framework for generating adversarial perturbations for transmitted signals. This framework implements dual-domain constraints in both the time and frequency domains, ensuring that the adversarial perturbation cannot be filtered out. Comparative experiments confirm the superiority of the proposed method and the concealment of the adversarial examples it generates.