State of the Art Survey on Comparison of Physical Fingerprinting-Based Intrusion Detection Techniques for In-Vehicle Security 2020-01-0721
Controller area network (CAN) is used as a legacy protocol for in-vehicle communication. However, it lacks basic security features such as message authentication, integrity, confidentiality, etc., because the sender information in the message is missing. Hence, it is prone to different attacks like spoofing attacks, denial of service attacks, man in the middle and masquerade attacks. Researchers have proposed various techniques to detect and prevent these attacks, which can be split into two classes: (a) MAC-based techniques and (b) intrusion detection-based techniques. Further, intrusion detection systems can be divided into four categories: (i) message parameter- based, (ii) entropy-based, (iii) machine Learning-based and (iv) fingerprinting-based. This paper details state-of- the-art survey of fingerprinting-based intrusion detection techniques. In addition, the advantages and limitations of different fingerprinting-based intrusion detection techniques methods will be discussed.
Citation: Hafeez, A., Rehman, K., and Malik, H., "State of the Art Survey on Comparison of Physical Fingerprinting-Based Intrusion Detection Techniques for In-Vehicle Security," SAE Technical Paper 2020-01-0721, 2020, https://doi.org/10.4271/2020-01-0721. Download Citation
Azeem Hafeez, Khurram Rehman, Hafiz Malik
University of Michigan - Dearborn
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