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This recommended practice provides guidance on vehicle Cybersecurity and was created based off of, and expanded on from, existing practices which are being implemented or reported in industry, government and conference papers. ...Other proprietary Cybersecurity development processes and standards may have been established to support a specific manufacturer’s development processes, and may not be comprehensively represented in this document, however, information contained in this document may help refine existing in-house processes, methods, etc. ...This recommended practice establishes a set of high-level guiding principles for Cybersecurity as it relates to cyber-physical vehicle systems. This includes: Defining a complete lifecycle process framework that can be tailored and utilized within each organization’s development processes to incorporate Cybersecurity into cyber-physical vehicle systems from concept phase through production, operation, service, and decommissioning.

Abstract “It cannot happen to us” is one of many common myths regarding cybersecurity in the transportation industry. The traditional view that the threats to transportation are low probability and low impact keep agencies from mitigating security threats to transportation critical infrastructure.

Additional complicating factors, such as cybersecurity concerns combined with a first responder’s legal authority, may pose challenges for traditional data collection.

In addition, due to the cyber-security risk, the security functions to ensure the integrity of the message has to be considered.

Abstract There are already a number of cybersecurity activities introduced in the development process in the automotive industry. For example, security testing of automotive components is often performed at the late stages of development.

Annual conference government policy, regulatory makers, automotive industry neutral forum discuss US government regulation, technology, customer acceptance future vehicle design. industry event safety, emission control, fuel efficiency, automated vehicles.

This paper deals with an integrated motor-transmission (IMT) speed tracking control of the connected vehicle when there are controller area network (CAN)-induced delays and denial of service (DOS)-induced delays. A connected vehicle equipped with an IMT system may be attacked through the external network. Therefore, there are two delays on the CAN of the connected vehicle, which are CAN-induced and cyber-attack delays. A DOS attack generates huge delays in CAN and even makes the control system invalid. To address this problem, a robust dynamic output-feedback controller of the IMT speed tracking system considering event-triggered detectors resisting CAN-induced delays and DOS-induced delays is designed. The event-triggered detector is used to reduce the CAN-induced network congestion with appropriate event trigger conditions on the controller input and output channels. CAN-induced delays and DOS-induced delays are modeled by polytopic inclusions using the Taylor series expansion.

This SAE Recommended Practice establishes a uniform practice for protecting vehicle components from "unauthorized" access through a vehicle data link connector (DLC). The document defines a security system for motor vehicle and tool manufacturers. It will provide flexibility to tailor systems to the security needs of the vehicle manufacturer. The vehicle modules addressed are those that are capable of having solid state memory contents accessed or altered through the data link connector. Improper memory content alteration could potentially damage the electronics or other vehicle modules; risk the vehicle compliance to government legislated requirements; or risk the vehicle manufacturer's security interests. This document does not imply that other security measures are not required nor possible.

Abstract Secure boot is a fundamental security primitive for establishing trust in computer systems. For real-time safety applications, the time taken to perform the boot measurement conflicts with the need for near instant availability. To speed up the boot measurement while establishing an acceptable degree of trust, we propose a dual-phase secure boot algorithm that balances the strong requirement for data tamper detection with the strong requirement for real-time availability. A probabilistic boot measurement is executed in the first phase to allow the system to be quickly booted. This is followed by a full boot measurement to verify the first-phase results and generate the new sampled space for the next boot cycle. The dual-phase approach allows the system to be operational within a fraction of the time needed for a full boot measurement while producing a high detection probability of data tampering.

This SAE Information Report J2931/7 establishes the security requirements for digital communication between Plug-In Electric Vehicles (PEV), the Electric Vehicle Supply Equipment (EVSE) and the utility, ESI, Advanced Metering Infrastructure (AMI) and/or Home Area Network (HAN).

Access mechanisms to system data and/or control is a primary use case of the hardware protected security environment (hardware protected security environment) during different uses and stages of the system. The hardware protected security environment acts as a gatekeeper for these use cases and not necessarily as the executor of the function. This section is a generalization of such use cases in an attempt to extract common requirements for the hardware protected security environment that enable it to be a gatekeeper. Examples are: Creating a new key fob Re-flashing ECU firmware Reading/exporting PII out of the ECU Using a subscription-based feature Performing some service on an ECU Transferring ownership of the vehicle Some of these examples are discussed later in this section and some have detailed sections of their own. This list is by no means comprehensive.

Abstract In the automotive domain, the evolution of electrical and electronic (E/E) architecture trend is toward consolidating multiple heterogeneous applications executing on individual devices onto a centralized powerful computing platform. Many forums debate the nature of this centralized computing platform. At least for another decade, automotive powertrain functions will continue their development on a multicore controller platform (MCU) instead of many core processors. Data security and the need to meet Automotive Safety Integrity Level D (ASIL-D)-compliant powertrain functions are some of the reasons for this preference. For the centralized computing platform, virtualizing the underlying MCU will facilitate the simultaneous execution of heterogeneous powertrain applications with guaranteed spatial and temporal isolation. A common problem in virtualizing the MCU is the sharing of peripherals, which are comparatively scarce.

Abstract Threat identification and security analysis have become mandatory steps in the engineering design process of high-assurance systems, where successful cyberattacks can lead to hazardous property damage or loss of lives. This article describes a novel approach to perform security analysis on embedded systems modeled at the architectural level. The tool, called Security Threat Evaluation and Mitigation (STEM), associates threats from the Common Attack Pattern Enumeration and Classification (CAPEC) library with components and connections and suggests potential defense patterns from the National Institute of Standards and Technology (NIST) Special Publication (SP) 800-53 security standard. This article also provides an illustrative example based on a drone package delivery system modeled in AADL.

Vehicles have more connectivity options now-a-days and these increasing connection options are giving more chances for an intruder to exploit the system. So, the vehicle manufacturers need to make the ECU in the vehicle more secure. To make the system secure, the embedded system must secure all the assets in the system. Examples of assets are Software, Kernel or Operating system, cryptographic Keys, Passwords, user data, etc. In this, securing the Kernel is extremely important as an intruder can even exploit the operating system characteristics just by changing the kernel code without introducing a trojan in the system. Also, the Kernel is the one entity that manages all permissions, so, if the kernel is hacked, these permissions also get compromised. The proposed approach is to make the kernel secure by doing the integrity check periodically of the kernel code loaded into the main memory of the system.

Abstract Automotive software is increasingly complex and critical to safe vehicle operation, and related embedded systems must remain up to date to ensure long-term system performance. Update mechanisms and data modification tools introduce opportunities for malicious actors to compromise these cyber-physical systems, and for trusted actors to mistakenly install incompatible software versions. A distributed and stratified “black box” audit trail for automotive software and data provenance is proposed to assure users, service providers, and original equipment manufacturers (OEMs) of vehicular software integrity and reliability. The proposed black box architecture is both layered and diffuse, employing distributed hash tables (DHT), a parity system and a public blockchain to provide high resilience, assurance, scalability, and efficiency for automotive and other high-assurance systems.

There continues to be massive advancements in modern connected vehicles and with these advancements, connectivity continues to rapidly become more integral to the way these vehicles are designed and operated. Vehicle connectivity was originally introduced for the purpose of providing software updates to the vehicle’s main system software, and we have seen the adoption of Over The Air updates (OTA) become mainstream with most OEMs. The exploitation of this connectivity is far more reaching than just basic software updates. In the latest vehicles it is possible to update software not just on the main vehicle systems, but to potentially update embedded software in all smart ECUs within the vehicle. Only using the connectivity to push data to the vehicle is not making full use of the potential of this increased connectivity. Being able to collect vehicle data for offline analysis and processing also brings huge benefits to the use of this technology.

This SAE Recommended Practice establishes a uniform practice for protecting vehicle components from "unauthorized" access through a vehicle data link connector (DLC). The document defines a security system for motor vehicle and tool manufacturers. It will provide flexibility to tailor systems to the security needs of the vehicle manufacturer. The vehicle modules addressed are those that are capable of having solid state memory contents accessed or altered through the data link connector. Improper memory content alteration could potentially damage the electronics or other vehicle modules; risk the vehicle compliance to government legislated requirements; or risk the vehicle manufacturer's security interests. This document does not imply that other security measures are not required nor possible.

This SAE Recommended Practice establishes a uniform practice for protecting vehicle components from "unauthorized" access through a vehicle data link connector (DLC). The document defines a security system for motor vehicle and tool manufacturers. It will provide flexibility to tailor systems to the security needs of the vehicle manufacturer. The vehicle modules addressed are those that are capable of having solid state memory contents accessed or altered through the data link connector. Improper memory content alteration could potentially damage the electronics or other vehicle modules; risk the vehicle compliance to government legislated requirements; or risk the vehicle manufacturer's security interests. This document does not imply that other security measures are not required nor possible.

This SAE Information Report J2931/7 establishes the security requirements for digital communication between Plug-In Electric Vehicles (PEV), the Electric Vehicle Supply Equipment (EVSE) and the utility, ESI, Advanced Metering Infrastructure (AMI) and/or Home Area Network (HAN).