On Using TLS to Secure In-Vehicle Networks

被引:21
|
作者
Zelle, Daniel [1 ]
Krauss, Christoph [1 ]
Strauss, Hubert [2 ]
Schmidt, Karsten [3 ]
机构
[1] Fraunhofer SIT, Darmstadt, Germany
[2] Audi Elect Venture GmbH, Gaimersheim, Germany
[3] AUDI AG, Ingolstadt, Germany
关键词
Automotive; secure communication; TLS; embedded systems; vehicle network;
D O I
10.1145/3098954.3105824
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A trend in modern in-vehicle networks is the use of network technologies with higher bandwidth such as Automotive Ethernet. As a result, more sophisticated security technologies may be used to secure the communication. In this paper, we investigate whether the Transport Layer Security Protocol (TLS) is applicable to secure in-vehicle networks. First, we identify the security and performance requirements as well as the communication scenarios which must be supported by the TLS communication. Next, we discuss how these requirements can be realized with TLS. This also includes the discussion of the certificate management. Finally, we present and discuss our prototypical TLS implementation on a typical automotive platform and show that TLS is able to fulfill most performance requirements of the automotive industry.
引用
收藏
页数:10
相关论文
共 50 条
  • [31] Viden: Attacker Identification on In-Vehicle Networks
    Cho, Kyong-Tak
    Shin, Kang G.
    [J]. CCS'17: PROCEEDINGS OF THE 2017 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY, 2017, : 1109 - 1123
  • [32] Finger Printing of Engine Control Units by Using Frequency Response for Secure In-Vehicle Communication
    Hafeez, Azeem
    Tayyab, Muhammad
    Zolo, Carmen
    Awad, Selim
    [J]. 2018 14TH INTERNATIONAL COMPUTER ENGINEERING CONFERENCE (ICENCO), 2018, : 79 - 83
  • [33] Anomaly Detection in In-Vehicle Networks with Graph Neural Networks
    Ozdemir, Övgü
    Karagoz, Pinar
    Schmidt, Klaus Werner
    [J]. 2023 31ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, SIU, 2023,
  • [34] Using Deep Learning Networks to Identify Cyber Attacks on Intrusion Detection for In-Vehicle Networks
    Lin, Hsiao-Chung
    Wang, Ping
    Chao, Kuo-Ming
    Lin, Wen-Hui
    Chen, Jia-Hong
    [J]. ELECTRONICS, 2022, 11 (14)
  • [35] Anomaly Detection for In-Vehicle Networks using a Sensor-based Approach
    Mueter, Michael
    Groll, Andre
    Freiling, Felix C.
    [J]. JOURNAL OF INFORMATION ASSURANCE AND SECURITY, 2011, 6 (02): : 132 - 140
  • [36] ECU-Secure: Characteristic Functions for In-Vehicle Intrusion Detection
    Chevalier, Yannick
    Rieke, Roland
    Fenzl, Florian
    Chechulin, Andrey
    Kotenko, Igor
    [J]. INTELLIGENT DISTRIBUTED COMPUTING XIII, 2020, 868 : 495 - 504
  • [37] Towards a distributed secure in-vehicle communication architecture for modern vehicles
    Patsakis, Constantinos
    Dellios, Kleanthis
    Bouroche, Melanie
    [J]. COMPUTERS & SECURITY, 2014, 40 : 60 - 74
  • [38] VNGuard: Intrusion Detection System for In-Vehicle Networks
    Aung, Yan Lin
    Wang, Shanshan
    Cheng, Wang
    Chattopadhyay, Sudipta
    Zhou, Jianying
    Cheng, Anyu
    [J]. INFORMATION SECURITY, ISC 2023, 2023, 14411 : 79 - 98
  • [39] Safe and Secure Communication Using SSL/TLS
    Kumar, Darapureddy Devendra
    Mukharzee, Jerripothula Desai
    Reddy, Chirla Vijay Durga
    Rajagopal, Shinu M.
    [J]. 2024 International Conference on Emerging Smart Computing and Informatics, ESCI 2024, 2024,
  • [40] Hybrid testbed for simulating in-vehicle automotive networks
    Tuohy, Shane
    Glavin, Martin
    Jones, Edward
    Hughes, Ciaran
    Kilmartin, Liam
    [J]. SIMULATION MODELLING PRACTICE AND THEORY, 2016, 66 : 193 - 211