A novel machine learning approach for database exploitation detection and privilege control
Despite protected by firewalls and network security systems, databases are vulnerable to attacks especially when the perpetrators are from within the organization and have authorized access to these systems. Detecting their malicious activities is difficult as each database has its own set of unique...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2019-07-01
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Series: | Journal of Information and Telecommunication |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/24751839.2019.1570454 |