Abstract
With the rapid development of vehicle intelligence, the in-vehicle network is no longer a traditional closed network. External devices can be connected through Bluetooth, WiFi or OBD interfaces, so that attackers can remotely attack vehicles through these channels. Hence we create one-time pads to protect the in-vehicle network. Intelligent connected vehicle (ICV) is an information physical system, thus finding a suitable entropy source from its physical properties to extract true random numbers as a one-time pad can well ensure the security of ICV. During the driving process of ICV, the driving decision will change in real time, and these changes will directly act on the generator of the vehicle’s power system, causing the voltage to change in real time. Therefore, we observe that the on-board power voltage of ICV is a very useful source of entropy. We propose a scheme to extract random numbers from the voltage entropy source. First, we filter the weak periodicity in the voltage signal using wavelet variations. After obtaining the non-periodic voltage signal, we fuse the high voltage time interval with it as a second entropy source to improve the extraction efficiency of the random numbers. Secondly, we build Markov chains by analysing the partial autocorrelation coefficient of the quantized bits of one trace. Finally, we extract perfect random numbers from the Markov chain by using cascaded XOR and hash function. Extensive realistic experiments are conducted to validate our scheme.
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Chu, J., Han, M., Ma, S. (2023). Extracting Random Secret Key Scheme for One-Time Pad Under Intelligent Connected Vehicle. In: Xu, Y., Yan, H., Teng, H., Cai, J., Li, J. (eds) Machine Learning for Cyber Security. ML4CS 2022. Lecture Notes in Computer Science, vol 13656. Springer, Cham. https://doi.org/10.1007/978-3-031-20099-1_11
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