Acoustic interference happens when sound waves overlap and combine, making a signal harder to hear, measure, or decode. In cyber security, that matters anywhere audio is used as a data channel or sensor input: voice assistants, microphone-based authentication, ultrasonic beacons, device pairing, and acoustic leakage analysis all depend on clean, interpretable sound.
Attackers can exploit interference by adding noise, playing masking tones, or causing multiple signals to collide so a system misclassifies speech, misses commands, or fails to extract data. Defenders also use the same principle in reverse: they design filters, timing controls, and signal-separation methods to keep legitimate audio readable in crowded environments. The core lesson is simple: when sound carries information, overlap is a security problem as well as an engineering one.