CASES 2020 - INDRA: Intrusion Detection using Recurrent Autoencoders in Automotive Embedded Systems

INDRA (Intrusion Detection using Recurrent Autoencoders in Automotive Embedded Systems) is a novel deep learning based intrusion detection framework that is designed to detect cyber-attacks in vehicles. This work got accepted in CASES conference at Embedded Systems Week 2020 and published in IEEE TCAD journal.