Deep Focus: Increasing User Depth of Field to Improve Threat Detection (Oxford Workshop Poster)

Deep Focus: Increasing User Depth of Field to Improve Threat Detection (Oxford Workshop Poster)

We believe insider threat detection methods can be improved by monitoring and analyzing features of user behavior not typically associated with indicators of malicious insider behavior. Anomalous behaviors and statistical outliers observed in such data sets may identify new indicators or help reduce...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Claycomb, William R, Maxion, Roy, Clark, Jason, Woods, Bronwyn, Lindauer, Brian, Jensen, David, Neil, Joshua, Kent, Alex, Creese, Sadie, Legg, Phil
Format: Report
Sprache:eng
Schlagworte:
ANOMALY DETECTION
BEHAVIOR
COMPUTER NETWORK SECURITY
Computer Systems Management and Standards
DETECTION
INSIDER THREAT
MONITORING
THREATS
USER BEHAVIOR
USER PROFILES
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:We believe insider threat detection methods can be improved by monitoring and analyzing features of user behavior not typically associated with indicators of malicious insider behavior. Anomalous behaviors and statistical outliers observed in such data sets may identify new indicators or help reduce high false positive rates associated with existing indicators. The original document contains color images.