Insider threats detection model for email content using statistical analysis
An insider threat has become one of the most challenging malicious activities in cybersecurity defence systems in a contrast to outsider threats recently. Usually, IP theft, fraud and sabotage against legal information are three well-known types of insider threat. Since an insider threat usually exp...
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Main Author: | Mohammad, Nur Ameera Natasha |
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Format: | Thesis |
Language: | English English |
Published: |
2022
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Subjects: | |
Online Access: | http://eprints.utem.edu.my/id/eprint/26927/1/Insider%20threats%20detection%20model%20for%20email%20content%20using%20statistical%20analysis.pdf http://eprints.utem.edu.my/id/eprint/26927/2/Insider%20threats%20detection%20model%20for%20email%20content%20using%20statistical%20analysis.pdf http://eprints.utem.edu.my/id/eprint/26927/ https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=122122 |
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