KEYSTROKE DYNAMICS AUTHENTICATION USING A SMALL NUMBER OF SAMPLES
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F20%3A39916460" target="_blank" >RIV/00216275:25410/20:39916460 - isvavai.cz</a>
Výsledek na webu
<a href="https://dspace.tul.cz/handle/15240/158183" target="_blank" >https://dspace.tul.cz/handle/15240/158183</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.15240/tul/001/2020-4-014" target="_blank" >10.15240/tul/001/2020-4-014</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
KEYSTROKE DYNAMICS AUTHENTICATION USING A SMALL NUMBER OF SAMPLES
Popis výsledku v původním jazyce
The verification of a person’s identity is very important in today’s information society, especially in e-commerce systems and directly affects user account management and administration. Although present e-commerce systems use many modern sophisticated methods of authentication, large numbers of e-commerce systems use passwords for this purpose incessantly. However, passwords are not considered be too secure because users usually do not adhere to security policies for creating and managing theirs passwords. This problem can be solved by security policies that require the user to change the password frequently, select a completely new password, and structure the password, which places additional demands on the user. The solution is a two-factor authentication where a user needs to know the right password and at the same time, he must write this password in the correct way. Indeed, many different methods for keystroke dynamics authentication exist nowadays, but unfortunately, many of them need a large number of samples to create a stable template and therefore it is impossible use them in systems whose security policy requires frequent password change. The authors suggest a completely new method for these purposes that is enough stable even with a small number of measurements to create a template. This proposed method of keystroke dynamics authentication is validated and results are compared with existing methods both over the own dataset and the existing reference datasets. The authors believe that the proposed method will simplify the management and administration of user accounts as well as their security
Název v anglickém jazyce
KEYSTROKE DYNAMICS AUTHENTICATION USING A SMALL NUMBER OF SAMPLES
Popis výsledku anglicky
The verification of a person’s identity is very important in today’s information society, especially in e-commerce systems and directly affects user account management and administration. Although present e-commerce systems use many modern sophisticated methods of authentication, large numbers of e-commerce systems use passwords for this purpose incessantly. However, passwords are not considered be too secure because users usually do not adhere to security policies for creating and managing theirs passwords. This problem can be solved by security policies that require the user to change the password frequently, select a completely new password, and structure the password, which places additional demands on the user. The solution is a two-factor authentication where a user needs to know the right password and at the same time, he must write this password in the correct way. Indeed, many different methods for keystroke dynamics authentication exist nowadays, but unfortunately, many of them need a large number of samples to create a stable template and therefore it is impossible use them in systems whose security policy requires frequent password change. The authors suggest a completely new method for these purposes that is enough stable even with a small number of measurements to create a template. This proposed method of keystroke dynamics authentication is validated and results are compared with existing methods both over the own dataset and the existing reference datasets. The authors believe that the proposed method will simplify the management and administration of user accounts as well as their security
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
E+M Ekonomie a Management
ISSN
1212-3609
e-ISSN
—
Svazek periodika
23
Číslo periodika v rámci svazku
4
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
11
Strana od-do
215-226
Kód UT WoS článku
000595819500014
EID výsledku v databázi Scopus
2-s2.0-85097669269