Usability of the Artificial Intelligence and Modern Techniques for Securing Computer Systems

Malaník, David

Usability of the Artificial Intelligence and Modern Techniques for Securing Computer Systems

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Usability of the Artificial Intelligence and Modern Techniques for Securing Computer Systems

dc.contributor.advisor
dc.contributor.author	Malaník, David
dc.date.accessioned	2012-03-09T09:42:01Z
dc.date.available	2012-03-09T09:42:01Z
dc.date.issued	2011-07-28
dc.identifier	Elektronický archiv Knihovny UTB	cs
dc.identifier.uri	http://hdl.handle.net/10563/15507
dc.description.abstract	Tato pra?ce je zame?r?ena na moz?nosti vyuz?iti? neuronovy?ch si?ti? v oblasti zabezpec?eni? poc?i?tac?ovy?ch syste?mu?. Hlavni? c?a?st te?to pra?ce je zame?r?ena na vyuz?itelnost neuronovy?ch si?ti? pro identifikaci uz?ivatelu?. Neuronove? si?te? pr?edstavuji? inteligentni? syste?m, ktery? je adaptovatelny? na specificke? vlastnosti uz?ivatelu? a lze jej pouz?i?t i pro inteligentni? rekonstrukci a identifikaci uz?ivatelu?. V dals?i? c?a?sti pra?ce je popsa?no jine? moz?ne? vyuz?iti? neuronove? si?te?, jedna? se o moz?nost vyuz?iti? neuronove? si?te? jako cryptograficke?ho apara?tu pro zabezpec?eni komunikace. Dals?i? c?a?st ukazuje novy? pohled na verifikaci uz?ivatelu?. Be?z?ne? metody pro ove?r?ova?ni? uz?ivatelu? jsou zaloz?eny na jednora?zove? identifikaci uz?ivatele. Navrz?eny? syste?m ale obsahuje inteligentni? rutinu, ktera? periodicky ove?r?uje identitu uz?ivatele. Toto over?eni? ale neni? realizova?no pomoci? dotazu na jme?no a heslo ale vyuz?i?va? statisticke?ho vzorce chova?ni? uz?ivatele. Syste?m je tedy schopen detekovat zme?nu uz?ivatele bez korektni?ho odhla?s?eni? sta?vaji?ci?ho uz?ivatele a pr?ihla?s?eni? nove?ho.	cs
dc.format	+čí
dc.format.extent	8449392 bytes
dc.format.mimetype	application/pdf	cs
dc.language.iso	en
dc.publisher	Univerzita Tomáše Bati ve Zlíně	cs
dc.rights	Bez omezení	cs
dc.subject	bezpec?nost poc?i?tac?ovy?ch syste?mu?	cs
dc.subject	ume?le? neuronove? si?te?	cs
dc.subject	identity manager	cs
dc.subject	autentizace uz?ivatelu?	cs
dc.subject	biometricka? identifikace	cs
dc.subject	kryptografie	cs
dc.subject	computer security	en
dc.subject	artificial neural networks	en
dc.subject	identity manager	en
dc.subject	user authentication	en
dc.subject	biometric identification	en
dc.subject	cryptography	en
dc.title	Usability of the Artificial Intelligence and Modern Techniques for Securing Computer Systems	cs
dc.title.alternative	Usability of the Artificial Intelligence and Modern Techniques for Securing Computer Systems	en
dc.type	disertační práce	cs
dc.contributor.referee	Dvořák, Jiří
dc.contributor.referee	Kureková, Eva
dc.contributor.referee	Zelinka, Ivan
dc.date.accepted	2011-11-28
dc.description.abstract-translated	This thesis is aimed to practical usability of the neural network in computer security application. The main point of this thesis is focused on the small part of neural network inside the user verification process. The neural network represented some intelligent system which might be adapted to specific user characteristic and might be usable for the smart reconstruction and identification users. Other part of this work deals with the next potentially usability of smart neural network. One of these parts includes the cipher algorithms based on the neural network. Other one represented the new angle of view onto user verification. The commonly base method use only one-time user verification. But the systems included some intelligent behaviour, might periodically checking the user identity. Obviously not by providing the username and some password, but by processing the statistics analyses of current user. These systems are able to detect the user- switching without the correct logout and login procedure.	en
dc.description.department	Ústav informatiky a umělé inteligence	cs
dc.description.result	obhájeno	cs
dc.thesis.degree-discipline	Inženýrská informatika	cs
dc.thesis.degree-discipline	Engineering Informatics	en
dc.thesis.degree-grantor	Univerzita Tomáše Bati ve Zlíně. Fakulta aplikované informatiky	cs
dc.thesis.degree-grantor	Tomas Bata University in Zlín. Faculty of Applied Informatics	en
dc.thesis.degree-name	Ph.D.
dc.thesis.degree-program	Inženýrská informatika	cs
dc.thesis.degree-program	Engineering Informatics	en
dc.identifier.stag	23805
dc.date.assigned	2007-06-07
local.subject	neuronové sítě (počítačová věda)	cs
local.subject	počítačová bezpečnost	cs
local.subject	neural networks	en