Acoustic Attack on Keyboard Using Spectrogram and Neural Network

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F14%3APU109598" target="_blank" >RIV/00216305:26220/14:PU109598 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7296341&tag=1" target="_blank" >http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7296341&tag=1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP.2015.7296341" target="_blank" >10.1109/TSP.2015.7296341</a>

Result language
angličtina
Original language name
Acoustic Attack on Keyboard Using Spectrogram and Neural Network
Original language description
Acoustic side channel belongs to one of the oldest side channel and currently, the acoustic attacks are focused on computer keyboards, automated teller machine and internal computer components. Different methods are used for a classification of acoustic traces measured. It primary depends on the fact if the attacker processes the measured data in time or frequency domain. These two approaches use mostly neural networks connected to dictionary using hidden Markov models for an improvement of classification results. We decided for a compromise between the time and frequency domains and we process acoustic trace measured in the time-frequency domain by using a spectrogram. We use the spectrogram as an input of a typical two-layer neural network with the back propagation learning algorithm. This approach is based on a simple algorithm and does not use any other tool to improve classification results. We used widely available laptop with an integrated microphone placed in an office to analyze the potential repeatability and feasibility of the proposed method.
Czech name
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Czech description
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Project
<a href="/en/project/FR-TI4%2F647" target="_blank" >FR-TI4/647: *Integration server with cryptographic protection</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 38th International Conference on Telecommunication and Signal Processing
ISBN
9781479984978
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
637-641
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Berlín
Event date
Jul 1, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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