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IEEE Access • Vol 9
Behavioral Based Insider Threat Detection Using Deep Learning
January 2021 • Rida Nasir, Mehreen Afzal, Rabia Latif, Waseem Iqbal
The most detrimental cyber attacks are usually not originated by malicious outsiders or malware but from trusted insiders. The main advantage insider attackers have over external elements is their ability to bypass security checks and remain undiscovered, this may cause serious damage to the organizational assets. This paper focuses on insider threat detection through behavioral analysis of users. User behavior is categorized as normal or malicious based on user activity. A series of events and activities are anal…
Computer Science
Artificial Intelligence
Computer Security
Deep Learning
Law