Syahid putra, Imamulhakim and Rachman, Buchori and Afriyudi, Afriyudi (2015) IDENTIFICATION AND ANALYSIS OF INDIVIDUAL USERS ON NATURAL LANGUAGE WITH N-GRAM ANALYSIS METHODOLOGY. IDENTIFICATION AND ANALYSIS OF INDIVIDUAL USERS ON NATURAL LANGUAGE WITH N-GRAM ANALYSIS METHODOLOGY. ISSN 978-979-3877-23-5
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Abstract
The user profile is one approach to identify intruders on a computer system. User profiles are very important in all applications, especially to identify specific informa- tion about the user itself. Basically profiling build or information about the user or the user experience. So, User Profile be used to collect information related to user activity. This study focuses on the user psychometric writing style that identifies the user based on natural language. The purpose of this study was to facilitate the identification of the user based on the style of writing. So it can detect people who want to attack the computer security system. The methodology used in this study are N-Gram. N-Gram analysis can identify the user to accurately seen from the results achieved from any type of N-grams are used. In this study the N-Gram will compare each writing activity so that the user can determine the type of user authorization.
| Item Type: | Article |
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| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | Mr AFRIYUDI AFRIYUDI |
| Date Deposited: | 25 Jan 2016 10:35 |
| Last Modified: | 25 Jan 2016 10:35 |
| URI: | http://eprints.binadarma.ac.id/id/eprint/2630 |
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