Aug. 3, 2023, 1:10 a.m. | Joshua Harrison, Ehsan Toreini, Maryam Mehrnezhad

cs.CR updates on arXiv.org arxiv.org

With recent developments in deep learning, the ubiquity of micro-phones and
the rise in online services via personal devices, acoustic side channel attacks
present a greater threat to keyboards than ever. This paper presents a
practical implementation of a state-of-the-art deep learning model in order to
classify laptop keystrokes, using a smartphone integrated microphone. When
trained on keystrokes recorded by a nearby phone, the classifier achieved an
accuracy of 95%, the highest accuracy seen without the use of a language …

acoustic art attack attacks channel deep learning devices implementation keyboards laptop micro online services order personal personal devices phones services state threat ubiquity

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