Thwarting Cybersecurity Attacks with Explainable Concept Drift

arXiv:2403.13023v1 Announce Type: cross
Abstract: Cyber-security attacks pose a significant threat to the operation of autonomous systems. Particularly impacted are the Heating, Ventilation, and Air Conditioning (HVAC) systems in smart buildings, which depend on data gathered by sensors and Machine Learning (ML) models using the captured data. As such, attacks that alter the readings of these sensors can severely affect the HVAC system operations impacting residents' comfort and energy reduction goals. Such attacks may induce changes in the online data …

abstract air conditioning arxiv attacks autonomous autonomous systems buildings concept cs.cr cs.lg cyber cybersecurity data drift hvac machine machine learning security sensors smart smart buildings systems threat type