State of the art survey on Comparison of Physical Fingerprinting-based Intrusion Detection Techniques for In-vehicle Security 2020-01-0721
Controller area network 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 masquerades attacks. Researchers have proposed various techniques to detect and prevent these attacks, which can be further classified into 2 classes: (i) MAC-based techniques and intrusion detection-based techniques. Further, intrusion detection systems can be divided into 4 categories: (i) Fingerprinting-based, (ii) Message parameter-based, (iii) Entropy-based, (iv) Machine Learning-based. This paper is about survey of techniques. This paper is about state-of-the-art survey of fingerprinting-based intrusion detection techniques. Further, the advantages and limitations of different fingerprinting-based intrusion detection techniques the methods will be discussed.
Azeem Hafeez, Khurram Rehman, Hafiz Malik
University of Michigan - Dearborn
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