Acoustic side-channel attacks on keyboards can bypass security measures in many systems that use keyboards as one of the input devices. These attacks aim to reveal users' sensitive information by targeting the sounds made by their keyboards as they type. Most existing approaches in this field ignore the negative impacts of typing patterns and environmental noise in their results. This paper seeks to address these shortcomings by proposing an applicable method that takes into account the user's typing pattern in a realistic environment. Our method achieved an average success rate of 43% across all our case studies when considering real-world scenarios.

翻译：声音旁路攻击可通过键盘获取用户输入信息，从而绕过许多以键盘作为输入设备系统的安全防护。此类攻击通过捕获用户敲击键盘时产生的声音，企图泄露敏感信息。现有方法大多忽视键入模式及环境噪声对攻击效果的影响。本文提出一种实际可行的攻击方法，在真实环境中充分考虑用户键入模式的影响。在真实场景的案例研究中，本方法实现了43%的平均攻击成功率。