Automatic Fortified Password Generator System Using Special CharactersAutomatic Fortified Password Generator System Using Special Characters
- Other Titles
- Automatic Fortified Password Generator System Using Special Characters
- Authors
- Junho Jeong; 김정숙
- Issue Date
- Dec-2015
- Publisher
- 한국지능시스템학회
- Keywords
- Keystroke dynamics; User authentication; Fortified password; Special character; Delayed interval
- Citation
- International Journal of Fuzzy Logic and Intelligent systems, v.15, no.4, pp 295 - 299
- Pages
- 5
- Indexed
- KCI
- Journal Title
- International Journal of Fuzzy Logic and Intelligent systems
- Volume
- 15
- Number
- 4
- Start Page
- 295
- End Page
- 299
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/21854
- DOI
- 10.5391/IJFIS.2015.15.4.295
- ISSN
- 1598-2645
2093-744X
- Abstract
- The developed security scheme for user authentication, which uses both a password and the various devices, is always open by malicious user. In order to solve that problem, a keystroke dynamics is introduced. A person’s keystroke has a unique pattern. That allows the use of keystroke dynamics to authenticate users. However, it has a problem to authenticate users because it has an accuracy problem. And many people use passwords, for which most of them use a simple word such as “password” or numbers such as “1234.” Despite people already perceive that a simple password is not secure enough, they still use simple password because it is easy to use and to remember. And they have to use a secure password that includes special characters such as “#!(*)ˆ”. In this paper, we propose the automatic fortified password generator system which uses special characters and keystroke feature. At first, the keystroke feature is measured while user key in the password. After that, the feature of user’s keystroke is classified. We measure the longest or the shortest interval time as user’s keystroke feature.
As that result, it is possible to change a simple password to a secure one simply by adding a special character to it according to the classified feature. This system is effective even when the cyber attacker knows the password.
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Collections - College of Advanced Convergence Engineering > Department of Computer Science and Artificial Intelligence > 1. Journal Articles

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