Title :
Keyboard acoustic emanations
Author :
Asonov, Dmitri ; Agrawal, Rakesh
Author_Institution :
IBM Almaden Res. Center, San Jose, CA, USA
Abstract :
We show that PC keyboards, notebook keyboards, telephone and ATM pads are vulnerable to attacks based on differentiating the sound emanated by different keys. Our attack employs a neural network to recognize the key being pressed. We also investigate why different keys produce different sounds and provide hints for the design of homophonic keyboards that would be resistant to this type of attack.
Keywords :
keyboards; neural nets; security of data; ATM pads; PC keyboards; homophonic keyboards; keyboard acoustic emanations; neural network; notebook keyboards; telephone pads; Acoustic devices; Computer security; Ear; Humans; Immune system; Information security; Keyboards; Microphones; Neural networks; Telephony;
Conference_Titel :
Security and Privacy, 2004. Proceedings. 2004 IEEE Symposium on
Print_ISBN :
0-7695-2136-3
DOI :
10.1109/SECPRI.2004.1301311
