TY - GEN
T1 - Toward a Multi-Layer Intrusion Response System for Connected Vehicles
AU - Lauinger, Jan
AU - Hamad, Mohammad
AU - Steinhorst, Sebastian
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Cyber attacks are increasingly targeting connected vehicles. Due to this, Intrusion Response System (IRS) is becoming necessary to respond to unpreventable attacks. This paper proposes a multi-layer IRS prototype that incorporates distributed process management to support continuous control and monitoring of incident responses. Based on our analysis of IRS taxonomies, our prototype respects the latest IRS system requirements.
AB - Cyber attacks are increasingly targeting connected vehicles. Due to this, Intrusion Response System (IRS) is becoming necessary to respond to unpreventable attacks. This paper proposes a multi-layer IRS prototype that incorporates distributed process management to support continuous control and monitoring of incident responses. Based on our analysis of IRS taxonomies, our prototype respects the latest IRS system requirements.
KW - Automotive Intrusion Response System
KW - Automotive Security
KW - Connected and Autonomous Vehicles
KW - Incident Response
KW - Intrusion Response System
UR - http://www.scopus.com/inward/record.url?scp=85146980397&partnerID=8YFLogxK
U2 - 10.1109/VTC2022-Fall57202.2022.10012711
DO - 10.1109/VTC2022-Fall57202.2022.10012711
M3 - Conference contribution
AN - SCOPUS:85146980397
T3 - IEEE Vehicular Technology Conference
BT - 2022 IEEE 96th Vehicular Technology Conference, VTC 2022-Fall 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 96th IEEE Vehicular Technology Conference, VTC 2022-Fall 2022
Y2 - 26 September 2022 through 29 September 2022
ER -