Uncovering Malicious Persistence: Machine Learning-Based Detection of Windows Scheduled Tasks

Description

Explores how adversaries abuse Windows Scheduled Tasks to maintain long-term, stealthy access to compromised systems. The work introduces a systematic approach for distinguishing benign scheduled task activity, such as software updates and system maintenance from malicious tasks created as part of persistence mechanisms used by Advanced Persistent Threats (APT)

Période	27 nov. 2025
Titre de l'événement	INGI Seminars
Type d'événement	Séminaire
Emplacement	Louvain-la-Neuve, BelgiqueAfficher sur la carte
Degré de reconnaissance	National