本文提出了一種名為 TabITD 的新型威脅偵測框架,該框架整合了入侵偵測系統 (IDS) 和用戶與實體行為分析 (UEBA) 技術,以構建一個協作偵測系統,彌補現有系統在偵測新型內部威脅方面的不足,特別是針對從外部威脅演變而來的偽裝攻擊。
This research paper introduces TabITD, a novel insider threat detection framework that integrates Intrusion Detection Systems (IDS) and User and Entity Behavior Analytics (UEBA) with the TabNet architecture to enhance the detection of malicious activities, including masquerader attacks, by effectively addressing the limitations of traditional standalone detection techniques.