| Autor: |
Sawatnatee, Amnat, Prakancharoen, Somchai |
| Předmět: |
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| Zdroj: |
International Journal of Online & Biomedical Engineering; 2021, Vol. 17 Issue 2, p69-89, 21p |
| Abstrakt: |
Insider threat is a severe problem for many computer departments since they have an authorization to do some assigned tasks. They can easily seek security for any organizational computer vulnerability. Protocol "Insider Threat Detection and Prevention Protocol: ITDP" is designed to detect whether a requesting "IT user" is an authentic IT user who has been allocated rights to a particular application. The User's knowledge and behavior are used to classify whether the user is authentic. The statistical classification technique is used to predict whether the guest is authentic. The best classification technique is linear binary discriminant function analysis with 98.3% of accuracy in insider threat detection classification. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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