Open access
2026
ITDF: A Deep Learning Insider Threat Detection Framework Based on Abnormal Logon Behavior
Insider threats remain one of the most difficult issues in cybersecurity because a malicious insider can misuse legitimate credentials to compromise critical assets. Existing detection approaches predominantly focus on post-authentication activities, limiting their ability to prevent damage early. This work proposes a...
Laila Hajr, A. Alhogail, Sarah Albassam et al.
· IEEE Access · 0 citations