A Multiple Rényi Entropy Based Intrusion Detection System for Connected Vehicles
1
Major in Information Communication Engineering, Dongguk University, Seoul 04620, Korea
2
School of Computing, Korea Advanced Institute of Science and Technology, Daejeon 34141, Korea
3
Department of Information and Communication Engineering, Chosun University, Gwangju 61452, Korea
*
Author to whom correspondence should be addressed.
Entropy 2020, 22(2), 186; https://doi.org/10.3390/e22020186
Received: 31 December 2019
/
Revised: 24 January 2020
/
Accepted: 3 February 2020
/
Published: 6 February 2020
(This article belongs to the Section Information Theory, Probability and Statistics)
In this paper, we propose an intrusion detection system based on the estimation of the Rényi entropy with multiple orders. The Rényi entropy is a generalized notion of entropy that includes the Shannon entropy and the min-entropy as special cases. In 2018, Kim proposed an efficient estimation method for the Rényi entropy with an arbitrary real order . In this work, we utilize this method to construct a multiple order, Rényi entropy based intrusion detection system (IDS) for vehicular systems with various network connections. The proposed method estimates the Rényi entropies simultaneously with three distinct orders, two, three, and four, based on the controller area network (CAN)-IDs of consecutively generated frames. The collected frames are split into blocks with a fixed number of frames, and the entropies are evaluated based on these blocks. For a more accurate estimation against each type of attack, we also propose a retrospective sliding window method for decision of attacks based on the estimated entropies. For fair comparison, we utilized the CAN-ID attack data set generated by a research team from Korea University. Our results show that the proposed method can show the false negative and positive errors of less than 1% simultaneously.
View Full-Text
Keywords:
connected vehicles; intrusion detection system (IDS); Rényi entropy; Shannon entropy; vehicular network
▼
Show Figures
Figure 1
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
MDPI and ACS Style
Yu, K.-S.; Kim, S.-H.; Lim, D.-W.; Kim, Y.-S. A Multiple Rényi Entropy Based Intrusion Detection System for Connected Vehicles. Entropy 2020, 22, 186. https://doi.org/10.3390/e22020186
AMA Style
Yu K-S, Kim S-H, Lim D-W, Kim Y-S. A Multiple Rényi Entropy Based Intrusion Detection System for Connected Vehicles. Entropy. 2020; 22(2):186. https://doi.org/10.3390/e22020186
Chicago/Turabian StyleYu, Ki-Soon, Sung-Hyun Kim, Dae-Woon Lim, and Young-Sik Kim. 2020. "A Multiple Rényi Entropy Based Intrusion Detection System for Connected Vehicles" Entropy 22, no. 2: 186. https://doi.org/10.3390/e22020186
Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.
