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Anomaly detection of CAN bus messages through analysis of ID sequences | IEEE Conference Publication | IEEE Xplore

Anomaly detection of CAN bus messages through analysis of ID sequences


Abstract:

This paper proposes a novel intrusion detection algorithm that aims to identify malicious CAN messages injected by attackers in the CAN bus of modern vehicles. The propos...Show More

Abstract:

This paper proposes a novel intrusion detection algorithm that aims to identify malicious CAN messages injected by attackers in the CAN bus of modern vehicles. The proposed algorithm identifies anomalies in the sequence of messages that flow in the CAN bus and is characterized by small memory and computational footprints, that make it applicable to current ECUs. Its detection performance are demonstrated through experiments carried out on real CAN traffic gathered from an unmodified licensed vehicle.
Date of Conference: 11-14 June 2017
Date Added to IEEE Xplore: 31 July 2017
ISBN Information:
Conference Location: Los Angeles, CA, USA

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