| Title | Forensic Analysis of Automotive Controller Area Network Emissions for Problem Resolution |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Teo, Yu Xian, Chen, Jiaqi, Ash, Neil, Ruddle, Alastair R., Martin, Anthony J. M. |
| Conference Name | 2021 IEEE International Joint EMC/SI/PI and EMC Europe Symposium |
| Keywords | automotive, CAN, computer security, controller area network, controller area network security, Cyber-physical systems, cybersecurity, eavesdropping, electromagnetic compatibility, electromagnetic interference, EMI, emissions, fault diagnosis, Forensics, Internet of Things, Magnetic field measurement, pubcrawl, Resiliency, telecommunication traffic, vehicle |
| Abstract | Electromagnetic emissions associated with the transmission of automotive controller area network (CAN) messages within a passenger car have been analysed and used to reconstruct the original CAN messages. Concurrent monitoring of the CAN traffic via a wired connection to the vehicle OBD-II port was used to validate the effectiveness of the reconstruction process. These results confirm the feasibility of reconstructing in-vehicle network data for forensic purposes, without the need for wired access, at distances of up to 1 m from the vehicle by using magnetic field measurements, and up to 3 m using electric field measurements. This capability has applications in the identification and resolution of EMI issues in vehicle data network, as well as possible implications for automotive cybersecurity. |
| DOI | 10.1109/EMC/SI/PI/EMCEurope52599.2021.9559192 |
| Citation Key | teo_forensic_2021 |
Forensic Analysis of Automotive Controller Area Network Emissions for Problem Resolution