MAC-Based Compression Ratio Improvement for CAN Security

Author:

Piao Jinhui1,Jin Shiyi1,Seo Dong-Hyun2,Woo Samuel3,Chung Jin-Gyun1

Affiliation:

1. Division of Electronic Engineering, IT Convergence Research Center, Jeonbuk National University, Jeonju 54896, Republic of Korea

2. Green Mobility R&D Center, Jeonbuk Institute of Automotive Convergence Technology, Gunsan 54158, Republic of Korea

3. Department of Software Science, Dankook University, Yongin 16891, Republic of Korea

Abstract

Information security in a controller area network (CAN) is becoming more important as the connections between a vehicle’s internal and external networks increase. Encryption and authentication techniques can be applied to CAN data frames to enhance security. To authenticate a data frame, a message authentication code (MAC) needs to be transmitted with the CAN data frame. Therefore, space for transmitting the MAC is required within the CAN frame. Recently, the Triple ID algorithm has been proposed to create additional space in the data field of the CAN frame. The Triple ID algorithm ensures every CAN frame is authenticated by at least 4 bytes of MAC without changing the original CAN protocol. However, since the Triple ID algorithm uses six header bits, there is a problem associated with low data compression efficiency. In this paper, we propose an algorithm that can remove up to 15 bits from frames compressed with the Triple ID algorithm. Through simulation using CAN signals of a Kia Sorento vehicle and an LS Mtron tractor, we show that the generation of frames containing compressed messages of 4 bytes or more is reduced by up to 99.57% compared to the Triple ID method.

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference31 articles.

1. A Survey of Attacks on Controller Area Networks and Corresponding Countermeasures;Jo;IEEE Trans. Intell. Transp. Syst.,2021

2. Adventures in automotive networks and control units;Valasek;Def. Con.,2013

3. Checkoway, S., McCoy, D., Kantor, B., Anderson, D., Shacham, H., and Savage, S. (2011, January 8–12). Comprehensive experimental analyses of automotive attack surfaces. Proceedings of the 20th USENIX Security Symposium, San Francisco, CA, USA.

4. Static analysis of Android Auto infotainment and on-board diagnostics II apps;Mandal;Software: Pract. Exp.,2019

5. Vulnerabilities of Android OS-Based Telematics System;Jo;Wirel. Pers. Commun.,2016

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3