A Survey on Acoustic Side Channel Attacks on Keyboards
September 20, 2023 ยท The Cartographer ยท ๐ International Conference on Information, Communications and Signal Processing
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"Title-pattern auto-detect: A Survey on Acoustic Side Channel Attacks on Keyboards"
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Authors
Alireza Taheritajar, Zahra Mahmoudpour Harris, Reza Rahaeimehr
arXiv ID
2309.11012
Category
cs.CR: Cryptography & Security
Citations
10
Venue
International Conference on Information, Communications and Signal Processing
Last Checked
3 days ago
Abstract
Most electronic devices utilize mechanical keyboards to receive inputs, including sensitive information such as authentication credentials, personal and private data, emails, plans, etc. However, these systems are susceptible to acoustic side-channel attacks. Researchers have successfully developed methods that can extract typed keystrokes from ambient noise. As the prevalence of keyboard-based input systems continues to expand across various computing platforms, and with the improvement of microphone technology, the potential vulnerability to acoustic side-channel attacks also increases. This survey paper thoroughly reviews existing research, explaining why such attacks are feasible, the applicable threat models, and the methodologies employed to launch and enhance these attacks.
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