Demo: Securing Heavy Vehicle Diagnostics

Daily, Jeremy; Nnaji, David; Ettlinger, Ben

doi:10.14722/autosec.2021.23020

“…Daily et al created a remotely accessible testbed for security research, utilizing embedded Linux-based node controllers to simulate sensor inputs to electronic control units (ECUs) in heavy vehicles [12]. Daily et al in 2020 again focused on securing diagnostics of heavy vehicles by applying layer encryption to SAE J1939 diagnostic traffic [13].…”

Section: Literature Reviewmentioning

confidence: 99%

Enhancing Risk Assessment Models for Heavy Duty and Medium Duty Vehicles through Customization of the EVITA Framework

Rahimi,

Mirhassani,

Schuelke-Leech

2024

Preprint

0

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As a cornerstone of cybersecurity, risk assessment facilitates identifying and grading potential threats. Despite several risk assessment methodologies tailored for the automotive industry, such as EVITA and HEAVEN, a substantial knowledge gap persists in the context of heavy-duty (HD) and medium-duty (MD) vehicles. This study seeks to bridge this gap by introducing a customized model derived from EVITA, specifically designed for HD/MD vehicles. This model enhances the existing EVITA framework by integrating updated severity and probability weights that reflect the unique applications of HD/MD vehicles. Additionally, the attack tree initially presented in EVITA, is augmented by incorporating Common Weakness Enumeration (CWE) and Common Vulnerabilities and Exposures (CVE) standards. This research presents a comprehensive risk assessment methodology for HD/MD vehicles by building upon the EVITA model. The revised severity and likelihood weighting and the integration of CWE and CVE result in a more precise and effective strategy for assessing and mitigating potential risks. The insights gained from this research contribute to the evolution of risk assessment techniques in the automotive industry, with a particular emphasis on heavy-duty and medium-duty vehicles.

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“…The existing art covers the topic of autonomous trucks driving in-reverse from an algorithm and controls perspective [41] [42] but not from a trailer ECU integration, or systemsthinking point of view. Non-Autonomous Tractor communication art includes different solutions such as combining CANopen and J1939 networks [43], and securing and encrypting the J1939 and diagnostics traffic on the tractor side as Daily et al presented in [44] [45]. Power Line Carrier (PLC, SAE 2497) is being used as a low-speed communication bus between the trailer and the tractor which is not suitable for AT applications due to the bitrate limitation in PLC, where the preamble bitrate is 8772 bits per second and the data body bitrate is 10,000 bits per second [46].…”

Section: G Trailer Applications and Communication With The Tractormentioning

confidence: 99%

ECU over Named Data Networking (ECUoNDN): Data Management and Integration with Heterogenous Automotive Networks

Elhadeedy¹,

Daily²

2022

Preprint

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<p> Abstract—Autonomous vehicles use variety of automotive communication protocols in order for different Electronic Control Units (ECUs) to intra-communicate such as Controller Area Network (CAN), FlexRay or Ethernet to address the requirements of ultra-low latency and higher bandwidth due to the increased number of sensors. This leads to an increased number of wires, complexity and weight of the harness needed to connect each ECU to the network. In the case of an autonomous tractor trailer with autonomy sensors, tractor-trailer communication harness with new wires to be able to communicate with additional communication protocols at the tractor side and the trailer harness will be required to be plugged or unplugged every time a trailer gets coupled or uncoupled with a tractor. In this paper, we propose a new network architecture and intra-communication link for an autonomous tractor trailer ECU with additional autonomy sensors to reduce the number of wires needed to communicate different data types to the autonomous tractor network buses to two wires or eliminate the wires in case of a conventional tractor-trailer using a wireless medium, in addition to a method to manage multi-protocol data transfer between the trailer and the tractor. We conducted an experiment to evaluate the performance of Named Data Networking (NDN) when used in communication between ECUs that had positive outcome and indicated the high potential compatibility of NDN with vehicular communication. 1 </p>

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ECU over Named Data Networking (ECUoNDN): Data Management and Integration with Heterogenous Automotive Networks

Elhadeedy¹,

Daily²

2022

Preprint

Self Cite

1

0

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<p> Abstract—Autonomous vehicles use variety of automotive communication protocols in order for different Electronic Control Units (ECUs) to intra-communicate such as Controller Area Network (CAN), FlexRay or Ethernet to address the requirements of ultra-low latency and higher bandwidth due to the increased number of sensors. This leads to an increased number of wires, complexity and weight of the harness needed to connect each ECU to the network. In the case of an autonomous tractor trailer with autonomy sensors, tractor-trailer communication harness with new wires to be able to communicate with additional communication protocols at the tractor side and the trailer harness will be required to be plugged or unplugged every time a trailer gets coupled or uncoupled with a tractor. In this paper, we propose a new network architecture and intra-communication link for an autonomous tractor trailer ECU with additional autonomy sensors to reduce the number of wires needed to communicate different data types to the autonomous tractor network buses to two wires or eliminate the wires in case of a conventional tractor-trailer using a wireless medium, in addition to a method to manage multi-protocol data transfer between the trailer and the tractor. We conducted an experiment to evaluate the performance of Named Data Networking (NDN) when used in communication between ECUs that had positive outcome and indicated the high potential compatibility of NDN with vehicular communication. 1 </p>

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Demo: Securing Heavy Vehicle Diagnostics

Cited by 6 publications

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Enhancing Risk Assessment Models for Heavy Duty and Medium Duty Vehicles through Customization of the EVITA Framework

Enhancing Risk Assessment Models for Heavy Duty and Medium Duty Vehicles through Customization of the EVITA Framework

ECU over Named Data Networking (ECUoNDN): Data Management and Integration with Heterogenous Automotive Networks

ECU over Named Data Networking (ECUoNDN): Data Management and Integration with Heterogenous Automotive Networks

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