Adversarial Jamming for a More Effective Constellation Attack
This addresses the problem of more effective jamming attacks for wireless communication systems, representing an incremental improvement over existing jamming methods.
The paper tackles the problem of improving jamming effectiveness in wireless communication by proposing an adversarial jamming waveform that optimizes to find the best waveform, resulting in a significant increase in bit error rate compared to other methods.
The common jamming mode in wireless communication is band barrage jamming, which is controllable and difficult to resist. Although this method is simple to implement, it is obviously not the best jamming waveform. Therefore, based on the idea of adversarial examples, we propose the adversarial jamming waveform, which can independently optimize and find the best jamming waveform. We attack QAM with adversarial jamming and find that the optimal jamming waveform is equivalent to the amplitude and phase between the nearest constellation points. Furthermore, by verifying the jamming performance on a hardware platform, it is shown that our method significantly improves the bit error rate compared to other methods.