Keyboard acoustic emanations
By Dmitri Asonov, Rakesh Agrawal. IEEE Symposium on Security and Privacy : Proceedings, 2004
368 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Signal Processing
View Paper: https://www.semanticscholar.org/paper/134ee2914659ce442ea2f2740d9cc512bde4442f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Martin Vuagnoux
- Sylvain Pasini
- Wen Wang
- Alex X. Liu
- Muhammad Shahzad
- Apu Kapadia
- Terry Winograd
- Dan Boneh
In Signal Processing
- Martin Vuagnoux
- Sylvain Pasini
- Apu Kapadia
- Dan Boneh
- J. Doug Tygar
- Xiao-yong Zhou
- Feng Zhou
- Daniel Liu
Citations in the corpus
- TouchLogger: Inferring Keystrokes on Touch Screen from Smartphone Motion (2011, background): “Key logging based on side channelsResearchers have studied keystroke inference based on side channels, such as sound [2, 11], electromaganetic wave [8], and timing [7, 4].”
- Soundcomber: A Stealthy and Context-Aware Sound Trojan for Smartphones (2011, background): “Using sensors such as the microphone [1] and video [15] to capture secret information has been studied in prior research.”
- Edge Computing Security: State of the Art and Challenges (2019, background): “Asonov and Agrawal [71] and Zhuang et al.”
- ACCessory: password inference using accelerometers on smartphones (2012, neutral): “, based on sound [3, 23] and inter-”
- Keystroke Recognition Using WiFi Signals (2015, background): “proposed a scheme to recognize keystrokes by leveraging the observation that different keys of a given keyboard produce slightly different sounds during regular typing [1].”
- Keyboard acoustic emanations revisited (2005, methodology): “Different keyboards of the same model, or the same keyboard typed by different people emit different sounds, making reliable recognition hard [1].”
- Compromising Electromagnetic Emanations of Wired and Wireless Keyboards (2009, methodology): “Asonov and Agrawal [4] discovered that each keystroke produces a unique sound when it is pressed or released and they presented a method to recover typed keystrokes with a microphone.”
- Reducing shoulder-surfing by using gaze-based password entry (2007, background): “…Stanford, CA +1.650.725.3722 {sneaker, talg, dabo, winograd}@cs.stanford.edu ABSTRACT Shoulder-surfing using direct observation techniques, such as looking over someone's shoulder, to get passwords, PINs and other sensitive personal information is a problem that has been difficult to overcome.”