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Design of an Ensemble Learning Behavior Anomaly Detection Framework
2019
Zenodo
Data assets protection is a crucial issue in the cybersecurity field. Companies use logical access control tools to vault their information assets and protect them against external threats, but they lack solutions to counter insider threats. Nowadays, insider threats are the most significant concern of security analysts. They are mainly individuals with legitimate access to companies information systems, which use their rights with malicious intents. In several fields, behavior anomaly
doi:10.5281/zenodo.3566298
fatcat:man7qwdaynhsdnfc2rvzqrdkbi