  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.
