This thesis is focused on the side-channels in the cryptology. The main attention is paid to the side-channels, which allow an attack on a computer keyboard. Especially the acoustic side-channel is focused on. Through this channel are demonstrated two attacks on the keyboard. At first, the method of recognizing is described. The neural network was used for the recognition. Then, the demonstration attacks on the keyboard are described. The first demonstration is an attack in laboratory conditions and the other in terms of household conditions. The thesis describes two attacks from the record, through data recognition by neural networks to evaluate the actual demonstration of attack. The following describes the recommendations for disabling attack. The results are supplemented by graphs and discussed.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:219345 |
| Date | January 2011 |
| Creators | Machů, Petr |
| Contributors | Stančík, Peter, Martinásek, Zdeněk |
| Publisher | Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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