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A Comparison Study of Chi-square and Uniform Distributions of Mesh Clients by WMN-PSODGA Simulation System for RIWM and LDIWM Router Replacement Methods Read chapter Read first chapter

2022 | OriginalPaper | Chapter

A Concept of IDS for CAN Protocol Based on Statics Theory

Authors : Md Rezanur Islam, Insu Oh, Munkhdelgerekh Batzorig, Seoyeon Kim, Kangbin Yim

Published in: Advances on Broad-Band Wireless Computing, Communication and Applications

Publisher: Springer International Publishing

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Abstract

Day after day, modern attacks continue to hit the onboard network due to creating complexity of the group of software and hardware components utilized in vehicles. These new components display challenges within the improvement of compelling and responsive security mechanisms. A few intrusion detection systems (IDS) have been proposed to distinguish and defend vehicle systems from pernicious exercises. Here, in this study we depict statistical-based analysis which applied to intrusion detection method to secure car systems, with a specific accentuation on Control Area Network (CAN). This study underlines a portrayal of vulnerabilities, highlight threat models, easily recognize known attacks that are shown within the CAN.

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previous chapter SPEC: Frame Filtering for CAN Protocol on ECU
next chapter Design and Implementation of a Control Interface for Indoor Position Detection of Moving Omnidirectional Access Point Robot Using Super Sonic Signals
Literature
1.
Lu, Z., Wang, Q., Qu, G., Liu, Z.: BARS: a Blockchain- based Anonymous Reputation System for Trust Management in VANETs.arXiv:​1807.​06159 [cs.CR] (2018)
2.
Koscher, A., et al.: Experimental Security analysis of a modern automobile. In: Security and Privacy (SP), 2010 IEEE Symposium on IEEE, 2010, pp. 447–462 (2010)
3.
Miller, C., Valasek, C.: Adventures in automotive networks and control units. DEF CON 21, 260–264 (2013)
4.
Woo, S., Jo, H.J., Lee, D.H.: A practical wireless attack on the connected car and security protocol for in-vehicle can. IEEE Trans. Intell. Transp. Syst. 16(2), 993–1006 (2015)
5.
Petit, J., Shladover, S.E.: Potential cyberattacks on automated vehicles. IEEE Trans. Intell. Transp. Syst. 16(2), 546–556 (2015)
6.
Miller, C., Valasek, C.: Remote Exploitation of an Unaltered Passenger Vehicle, Black Hat USA (2015)
7.
Lee, B.S., Park, M.K., Sung, K.G.: Developing an In-vehicle Network Education System Based on CAN (2006)
8.
An, Y., Park, J., Oh, I., Kim, M., Yim, K.: Design and implementation of a novel testbed for automotive security analysis. In: Barolli, L., Poniszewska-Maranda, A., Park, H. (eds.) Innovative Mobile and Internet Services in Ubiquitous Computing. IMIS 2020. Advances in Intelligent Systems and Computing, vol. 1195. Springer, Cham (2021). https://​doi.​org/​10.​1007/​978-3-030-50399-4_​23
9.
A study on the implementation and analysis method of the connected car accident scenario model (KISA-WP-2018-002)
10.
Lee, H., Jeong, S.H., Kim, H.K.: In 2017 15th Annual Conference on Privacy, Security and Trust (PST). OTIDS: A novel intrusion detection system for in vehicle network by using remote frame (Calgary, 2017), pp. 57–5709
11.
Wang, Q., Lu, Z., Qu, G.: An entropy analysis-based intrusion detection system for controller area network in vehicles. In System-on-Chip Conference (SOCC), 2018 31st IEEE International. IEEE (2018)
12.
13.
14.
Avalappampatty Sivasamy, A., Sundan, B.: A dynamic intrusion detection system based on multivariate Hotelling’s T2 statistics approach for network environments. Sci. World J. 1–9 (2015)
15.
Qayyum, A., Islam, M.H., Jamil, M.: In Proceedings of the IEEE Symposium on Emerging Technologies. Taxonomy of statistical based anomaly detection techniques for intrusion detection (Islamabad, 2005), pp. 270–276 (2005)
16.
17.
Cho, K.T., Shin, K.G.:Viden: attacker identification on in-vehicle networks. In: Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, ser. CCS 2017. New York, NY, USA: ACM, 2017, pp. 1109–1123 (2017). https://​doi.​org/​10.​1145/​3133956.​3134001
18.
Nowdehi, N., Aoudi, W., Almgren, M., Olovsson, T.: CASAD: CAN-Aware Stealthy-Attack Detection for In-Vehicle Networks. CoRR abs/1909.08407 (2019)
19.
20.
Cho, K.T., Shin, K.G.: In 25th {USENIX} Security Symposium ({USENIX} Security 16). Fingerprinting electronic control units for vehicle intrusion detection (Austin, 2016), pp. 911–927 (2016)
21.
Lokman, S.F., Othman, A.T., Abu-Bakar, M.H.: Intrusion detection system for automotive Controller Area Network (CAN) bus system: a review. EURASIP J. Wirel. Commun. Netw. 2019, Article number: 184 (2019)
22.
Deng, L., Yu, D.: Deep learning: methods and applications. Foundations and Trends®. Signal Process. 7(3–4), 197–387 (2014)
23.
Kang, M.J., Kang, J.W.: Intrusion detection system using deep neural network for in-vehicle network security. PLoS One 11(6), e0155781 (2016)
24.
Erhan, D., Bengio, Y., Courville, A., Manzagol, P.A., Vincent, P., Bengio, S.: Why does unsupervised pre-training help deep learning? J. Mach. Learn. Res. 11(Feb), 625–660 (2010)
25.
Tariq, S., Lee, S., Kim, H.K., Woo, S.S.:, CAN-ADF: The controller area network attack detection framework. Comput. Secur. 94, 101857 (2020)
Metadata
Title
A Concept of IDS for CAN Protocol Based on Statics Theory
Authors
Md Rezanur Islam
Insu Oh
Munkhdelgerekh Batzorig
Seoyeon Kim
Kangbin Yim
Copyright Year
2022
Book
Advances on Broad-Band Wireless Computing, Communication and Applications

Print ISBN: 978-3-030-90071-7

Electronic ISBN: 978-3-030-90072-4

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-3-030-90072-4_32