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A Connected and Autonomous Vehicle Reference Architecture for Attack Surface Analysis

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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A Connected and Autonomous Vehicle Reference Architecture for Attack Surface Analysis. / Maple, Carsten; Bradbury, Matthew; Le, Anh Tuan et al.
In: Applied Sciences, Vol. 9, No. 23, 5101, 25.11.2019.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Maple, C, Bradbury, M, Le, AT & Ghirardello, K 2019, 'A Connected and Autonomous Vehicle Reference Architecture for Attack Surface Analysis', Applied Sciences, vol. 9, no. 23, 5101. https://doi.org/10.3390/app9235101

APA

Maple, C., Bradbury, M., Le, A. T., & Ghirardello, K. (2019). A Connected and Autonomous Vehicle Reference Architecture for Attack Surface Analysis. Applied Sciences, 9(23), Article 5101. https://doi.org/10.3390/app9235101

Vancouver

Maple C, Bradbury M, Le AT, Ghirardello K. A Connected and Autonomous Vehicle Reference Architecture for Attack Surface Analysis. Applied Sciences. 2019 Nov 25;9(23):5101. doi: 10.3390/app9235101

Author

Maple, Carsten ; Bradbury, Matthew ; Le, Anh Tuan et al. / A Connected and Autonomous Vehicle Reference Architecture for Attack Surface Analysis. In: Applied Sciences. 2019 ; Vol. 9, No. 23.

Bibtex

@article{4031299887d54a5fbf936ac2cbebc3a2,
title = "A Connected and Autonomous Vehicle Reference Architecture for Attack Surface Analysis",
abstract = "Connected autonomous vehicles (CAVs) will be deployed over the next decade with autonomous functionalities supported by new sensing and communication capabilities. Such functionality exposes CAVs to new attacks that current vehicles will not face. To ensure the safety and security of CAVs, it is important to be able to identify the ways in which the system could be attacked and to build defences against these attacks. One possible approach is to use reference architectures to perform an attack surface analysis. Existing research has developed a variety of reference architectures but none for the specific purpose of attack surface analysis. Existing approaches are either too simple for sufficiently detailed modelling or require too many details to be specified to easily analyse a CAV{\textquoteright}s attack surface. Therefore, we propose a reference architecture using a hybrid Functional-Communication viewpoint for attack surface analysis of CAVs, including the Devices, Edge and Cloud systems CAVs interact with. Using two case studies, we demonstrate how attack trees can be used to understand the attack surface of CAV systems.",
keywords = "connected autonomous vehicles, reference architecture, attack surface analysis",
author = "Carsten Maple and Matthew Bradbury and Le, {Anh Tuan} and Kevin Ghirardello",
year = "2019",
month = nov,
day = "25",
doi = "10.3390/app9235101",
language = "English",
volume = "9",
journal = "Applied Sciences",
issn = "2076-3417",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "23",

}

RIS

TY - JOUR

T1 - A Connected and Autonomous Vehicle Reference Architecture for Attack Surface Analysis

AU - Maple, Carsten

AU - Bradbury, Matthew

AU - Le, Anh Tuan

AU - Ghirardello, Kevin

PY - 2019/11/25

Y1 - 2019/11/25

N2 - Connected autonomous vehicles (CAVs) will be deployed over the next decade with autonomous functionalities supported by new sensing and communication capabilities. Such functionality exposes CAVs to new attacks that current vehicles will not face. To ensure the safety and security of CAVs, it is important to be able to identify the ways in which the system could be attacked and to build defences against these attacks. One possible approach is to use reference architectures to perform an attack surface analysis. Existing research has developed a variety of reference architectures but none for the specific purpose of attack surface analysis. Existing approaches are either too simple for sufficiently detailed modelling or require too many details to be specified to easily analyse a CAV’s attack surface. Therefore, we propose a reference architecture using a hybrid Functional-Communication viewpoint for attack surface analysis of CAVs, including the Devices, Edge and Cloud systems CAVs interact with. Using two case studies, we demonstrate how attack trees can be used to understand the attack surface of CAV systems.

AB - Connected autonomous vehicles (CAVs) will be deployed over the next decade with autonomous functionalities supported by new sensing and communication capabilities. Such functionality exposes CAVs to new attacks that current vehicles will not face. To ensure the safety and security of CAVs, it is important to be able to identify the ways in which the system could be attacked and to build defences against these attacks. One possible approach is to use reference architectures to perform an attack surface analysis. Existing research has developed a variety of reference architectures but none for the specific purpose of attack surface analysis. Existing approaches are either too simple for sufficiently detailed modelling or require too many details to be specified to easily analyse a CAV’s attack surface. Therefore, we propose a reference architecture using a hybrid Functional-Communication viewpoint for attack surface analysis of CAVs, including the Devices, Edge and Cloud systems CAVs interact with. Using two case studies, we demonstrate how attack trees can be used to understand the attack surface of CAV systems.

KW - connected autonomous vehicles

KW - reference architecture

KW - attack surface analysis

U2 - 10.3390/app9235101

DO - 10.3390/app9235101

M3 - Journal article

VL - 9

JO - Applied Sciences

JF - Applied Sciences

SN - 2076-3417

IS - 23

M1 - 5101

ER -