In this study, we investigate the emerging threat of inaudible acoustic attacks targeting digital voice assistants, a critical concern given their projected prevalence to exceed the global population by 2024. Our research extends the feasibility of these attacks across various platforms like Amazon's Alexa, Android, iOS, and Cortana, revealing significant vulnerabilities in smart devices. The twelve attack vectors identified include successful manipulation of smart home devices and automotive systems, potential breaches in military communication, and challenges in critical infrastructure security. We quantitatively show that attack success rates hover around 60%, with the ability to activate devices remotely from over 100 feet away. Additionally, these attacks threaten critical infrastructure, emphasizing the need for multifaceted defensive strategies combining acoustic shielding, advanced signal processing, machine learning, and robust user authentication to mitigate these risks.

我们研究了无声声波攻击对数字助手的新兴威胁，这是一个重要问题，因为预计到2024年，数字助手的普及度将超过全球人口总数。我们的研究扩展了这些攻击在亚马逊的Alexa、Android、iOS和Cortana等各种平台上的可行性，揭示了智能设备的重大漏洞。我们鉴别出了12种攻击向量，其中包括对智能家居设备和汽车系统的成功操纵、军事通信的潜在破坏以及关键基础设施安全面临的挑战。我们定量显示攻击成功率在60%左右，并且能够从100英尺以外远程激活设备。此外，这些攻击威胁到关键基础设施，强调了采用声学屏蔽、先进信号处理、机器学习和强大用户身份验证相结合的多方面防御策略以减轻这些风险的必要性。

声音识别系统中的声音网络安全