Securing the Future Railway System: Technology Forecast, Security Measures, and Research Demands

Author:

Unger Simon1ORCID,Heinrich Markus2ORCID,Scheuermann Dirk3ORCID,Katzenbeisser Stefan12,Schubert Max2,Hagemann Leon2,Iffländer Lukas4ORCID

Affiliation:

1. Chair of Computer Engineering, Faculty of Computer Science and Mathematics, University of Passau, 94032 Passau, Germany

2. INCYDE GmbH, 10117 Berlin, Germany

3. Fraunhofer SIT, 64295 Darmstadt, Germany

4. Deutsches Zentrum für Schienenverkehrsforschung beim Eisenbahn Bundesamt, 01219 Dresden, Germany

Abstract

The railway industry—traditionally a conservative industry with low adaption speed for innovation—is currently entering its digitization phase. The sector faces a challenge in integrating new technologies and approaches into the employed—often safety-critical—systems. Keeping the systems secure while conforming to the demanding safety norms creates previously unknown problems. In the last decades, the number of attacks on the railway system has increased. Furthermore, with standardized digital technologies, the attack surface will keep growing. Therefore, in this work, we look into the foreseeable future of the railway system and present 21 likely use cases. We analyze these use cases regarding possible threats, rate the severity of these threats, and deduce and rate necessary countermeasures. To this end, we model these use cases and the corresponding threats and countermeasures using Attack Graphs. We use a graphical solution for the risk and security analysis due to advantages over other methods, i.e., table-based solutions, like simplified presentation and an easier understanding of relationships, dependencies, and interactions between various elements. From these Attack Graphs, we extracted 14 commonly recurring attack strategies. After analyzing 49 countermeasures regarding their current maturity and further research and standardization demands, we identified 21 in need of further investigation. This implies that 21 necessary countermeasures to secure these future use cases require further research to apply to railway systems or require standardization. These results will help researchers focus on the necessary research and standardization and railway operators to ensure the security of their systems.

Funder

German Centre for Rail Traffic Research at the Federal Railway Authority

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Automotive Engineering

Reference47 articles.

1. Redaktions Netzwerk Deutschland (2023, July 11). Ein Drittel Mehr Kapazität bei der Deutschen Bahn-so Soll es Klappen. Available online: https://www.rnd.de/wirtschaft/ein-drittel-mehr-kapazitat-bei-der-deutschen-bahn-so-soll-es-klappen-X6M3WDPHKVIEFVMDHIIOQAXOZU.html.

2. Rebhan, C. (2023, July 11). Obwohl Regierung Mehr für Klimaschutz Tun Will: Erst 2022 Gibt der Bund Mehr Geld Für Schienen Aus Als Für Straßen. Available online: https://www.businessinsider.de/politik/deutschland/obwohl-regierung-mehr-fuer-klimaschutz-tun-will-erst-2022-gibt-der-bund-mehr-geld-fuer-schienen-aus-als-fuer-strassen/.

3. Iffländer, L., Buder, T., Loreth, T., Villota, M.A., Schmitz, W., Neubecker, K.A., and Pickl, S. (2023). Physical Attacks on the Railway System. arXiv.

4. Prentkovskis, O., Yatskiv (Jackiva), I., Skačkauskas, P., Maruschak, P., and Karpenko, M. (2023). Proceedings of the TRANSBALTICA XIII: Transportation Science and Technology, Springer International Publishing.

5. Survey on Driverless Train Operation for Urban Rail Transit Systems;Wang;Urban Rail Transit,2016

Cited by 1 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