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Introduction to Car Hacking with CANbus

Therefore, engineers should ensure that systems are designed free of unreasonable risks to motor vehicle safety, including those that may result due to existence of potential cybersecurity vulnerabilities. The automotive industry is making vehicle cybersecurity an organizational priority.
Standard

Permanently or Semi-Permanently Installed Diagnostic Communication Devices, Security Guidelines

2020-03-04
CURRENT
J3005-2_202003
The scope of the document is to define the cyber-security best practices to reduce interference with normal vehicle operation, or to minimize risk as to unauthorized access of the vehicle's control, diagnostic, or data storage system; access by equipment (i.e., permanently or semi-permanently installed diagnostic communication device, also known as dongle, etc.) which is either permanently or semi-permanently connected to the vehicle's OBD diagnostic connector, either SAE J1939-13, SAE J1962, or other future protocol; or hardwired directly to the in-vehicle network.
Journal Article

A Centrally Managed Identity-Anonymized CAN Communication System*

2018-05-16
Abstract Identity-Anonymized CAN (IA-CAN) protocol is a secure CAN protocol, which provides the sender authentication by inserting a secret sequence of anonymous IDs (A-IDs) shared among the communication nodes. To prevent malicious attacks from the IA-CAN protocol, a secure and robust system error recovery mechanism is required. This article presents a central management method of IA-CAN, named the IA-CAN with a global A-ID, where a gateway plays a central role in the session initiation and system error recovery. Each ECU self-diagnoses the system errors, and (if an error happens) it automatically resynchronizes its A-ID generation by acquiring the recovery information from the gateway. We prototype both a hardware version of an IA-CAN controller and a system for the IA-CAN with a global A-ID using the controller to verify our concept.
Technical Paper

Evaluating Trajectory Privacy in Autonomous Vehicular Communications

2019-04-02
2019-01-0487
Autonomous vehicles might one day be able to implement privacy preserving driving patterns which humans may find too difficult to implement. In order to measure the difference between location privacy achieved by humans versus location privacy achieved by autonomous vehicles, this paper measures privacy as trajectory anonymity, as opposed to single location privacy or continuous privacy. This paper evaluates how trajectory privacy for randomized driving patterns could be twice as effective for autonomous vehicles using diverted paths compared to Google Map API generated shortest paths. The result shows vehicles mobility patterns could impact trajectory and location privacy. Moreover, the results show that the proposed metric outperforms both K-anonymity and KDT-anonymity.
SAE MOBILUS Subscription

Wiley Cyber Security Collection Add-On

2018-03-23
As an annual subscription, the Wiley Cyber Security Collection Add-On is available for purchase along with one or both of the following: Wiley Aerospace Collection Wiley Automotive Collection The titles from the Wiley Cyber Security Collection are included in the SAE MOBILUS® eBook Package. Titles: Network Forensics Penetration Testing Essentials Security in Fixed and Wireless Networks, 2nd Edition The Network Security Test Lab: A Step-by-Step Guide Risk Centric Threat Modeling: Process for Attack Simulation and Threat Analysis Applied Cryptography: Protocols, Algorithms and Source Code in C, 20th Anniversary Edition Computer Security Handbook, Set, 6th Edition Threat Modeling: Designing for Security Other available Wiley collections: Wiley SAE MOBILUS eBook Package Wiley Aerospace Collection Wiley Automotive Collection Wiley Computer Systems Collection Add-On (purchasable with the Wiley Aerospace Collection and/or the Wiley Automotive Collection)
Technical Paper

A Safety and Security Testbed for Assured Autonomy in Vehicles

2020-04-14
2020-01-1291
Connectivity and autonomy in vehicles promise improved efficiency, safety and comfort. The increasing use of embedded systems and the cyber element bring with them many challenges regarding cyberattacks which can seriously compromise driver and passenger safety. Beyond penetration testing, assessment of the security vulnerabilities of a component must be done through the design phase of its life cycle. This paper describes the development of a benchtop testbed which allows for the assurance of safety and security of components with all capabilities from Model-in-loop to Software-in-loop to Hardware-in-loop testing. Environment simulation is obtained using the AV simulator, CARLA which provides realistic scenarios and sensor information such as Radar, Lidar etc. MATLAB runs the vehicle, powertrain and control models of the vehicle allowing for the implementation and testing of customized models and algorithms.
Journal Article

Improvement of the Resilience of a Cyber-Physical Remote Diagnostic Communication System against Cyber Attacks

2019-04-02
2019-01-0112
In the near future, vehicles will operate autonomously and communicate with their environment. This communication includes Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I) communication, and comunication with cloud-based servers (V2C). To improve the resilience of remote diagnostic communication between a vehicle and external test equipment against cyberattacks, it is imperative to understand and analyze the functionality and vulnerability of each communication system component, including the wired and wireless communication channels. This paper serves as a continuation of the SAE Journal publication on measures to prevent unauthorized access to the in-vehicle E/E system [9], explains the components of a cyber-physical system (CPS) for remote diagnostic communication, analyzes their vulnerability against cyberattacks and explains measures to improve the resiliance.
Magazine

SAE Truck & Off-Highway Engineering: August 2019

2019-08-01
Electric machines find their niche Smaller machines working in cities are particularly ripe for electrification, but most off-highway applications will retain the internal-combustion engine. Big data, big benefits Data mining helps users and equipment developers use data from on-vehicle sensors to work more efficiently. Data connectivity in harsh environments Ensuring high-speed data transmission requires OEM designers to think more about components, placement and the impact of environmental conditions early in design. Trucks with intuition Perceptive Automata partners with Volvo Trucks to demonstrate AI technology that can determine when pedestrians will cross the road. Change is afoot Cummins and its CTO help focus the 2019 SAE COMVEC on the fast-shifting technology landscape that faces both on- and off-highway sectors. Editorial AI, ADAS & AVs-oh my!
Standard

Taxonomy and Definitions for Terms Related to Cooperative Driving Automation for On-Road Motor Vehicles

2020-05-07
CURRENT
J3216_202005
This document describes machine-to-machine (M2M) communication to enable cooperation between two or more participating entities or communication devices possessed or controlled by those entities. The cooperation supports or enables performance of the dynamic driving task (DDT) for a subject vehicle with driving automation feature(s) engaged. Other participants may include other vehicles with driving automation feature(s) engaged, shared road users (e.g., drivers of manually operated vehicles or pedestrians or cyclists carrying personal devices), or road operators (e.g., those who maintain or operate traffic signals or workzones). Cooperative driving automation (CDA) aims to improve the safety and flow of traffic and/or facilitate road operations by supporting the movement of multiple vehicles in proximity to one another. This is accomplished, for example, by sharing information that can be used to influence (directly or indirectly) DDT performance by one or more nearby road users.
Standard

Digital Communications for Plug-in Electric Vehicles

2014-12-11
CURRENT
J2931/1_201412
This SAE Information Report SAE J2931 establishes the requirements for digital communication between Plug-In Electric Vehicles (PEV), the Electric Vehicle Supply Equipment (EVSE) and the utility or service provider, Energy Services Interface (ESI), Advanced Metering Infrastructure (AMI) and Home Area Network (HAN). This is the third version of this document and completes the effort that specifies the digital communication protocol stack between Plug-in Electric Vehicles (PEV) and the Electric Vehicle Supply Equipment (EVSE). The purpose of the stack outlined in Figure 1 and defined by Layers 3 to 6 of the OSI Reference Model (Figure 1) is to use the functions of Layers 1 and 2 specified in SAE J2931/4 and export the functionalities to Layer 7 as specified in SAE J2847/2 (as of August 1, 2012, revision) and SAE J2847/1 (targeting revision at the end of 2012).
Article

SAE International anti-counterfeit standards integral to obsolescence management

2018-07-25
Counterfeit parts prevention is integral to an effective obsolescence management plan, and the focus of anti-counterfeit standards – including Counterfeit Avoidance Standard (AS5553) and Counterfeit Detection Standard (AS6081) – from SAE International in Warrendale, Pa. SAE International officials are bringing the anti-counterfeit discussion and sharing best practices, which include adherence to critical standards, to the Future of Obsolescence Management (FOM) event on October 10 and 11 in Washington.
Article

Nvidia partners with AdaCore to secure self-driving firmware

2019-02-14
As mobility software becomes increasingly complex and connected, so does the risk of human error and system safety. To combat this, New York-based software company AdaCore will work with Nvidia Corporation of Santa Clara, California to apply open-source Ada and SPARK programming languages for select software security firmware elements in highly-complex, safety-critical systems like Nvidia’s DRIVE AGX automated and autonomous vehicle solutions.
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