DocumentCode :
3683268
Title :
IntelliCAN: Attack-resilient Controller Area Network (CAN) for secure automobiles
Author :
Mohammad Raashid Ansari;Shucheng Yu;Qiaoyan Yu
Author_Institution :
Department of Electrical and Computer Engineering, University of New Hampshire, Durham, 03824, USA
fYear :
2015
Firstpage :
233
Lastpage :
236
Abstract :
Controller Area Network (CAN) is the main bus network that connects electronic control units in automobiles. Although CAN protocols have been revised to improve the vehicle safety, the security weaknesses of CAN have not been fully addressed. Security threats on automobiles might be from external wireless communication or from internal malicious CAN nodes mounted on the CAN bus. Despite of various threat sources, the security weakness of CAN is the root of security problems. Due to the limited computation power and storage capacity on each CAN node, there is a lack of hardware-efficient protection methods for the CAN system without losing the compatibility to CAN protocols. To save the cost and maintain the compatibility, we propose to exploit the built-in CAN fault confinement mechanism to detect the masquerade attacks originated from the malicious CAN devices on the CAN bus. Simulation results show that our method achieves the attack misdetection rate at the order of 10-5 and reduces the encryption latency by up to 68% over the complete frame encryption method.
Keywords :
"Fault tolerance","Fault tolerant systems","Very large scale integration","Nanotechnology","Discrete Fourier transforms"
Publisher :
ieee
Conference_Titel :
Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFTS), 2015 IEEE International Symposium on
Type :
conf
DOI :
10.1109/DFT.2015.7315168
Filename :
7315168
Link To Document :
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