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Technical Paper

Cybersecurity Testing and Validation

2017-03-28
2017-01-1655
We also consider the necessary scope and depth of cybersecurity testing and suggest examples of how this can be related to cybersecurity requirements, goals and integrity levels, as determined by the threat analysis and risk assessment. ...An essential part of an effective cybersecurity engineering process is testing the implementation of a system for vulnerabilities and validating the effectiveness of countermeasures. ...The SAE J3061 Cybersecurity Guidebook for Cyber-Physical Vehicle Systems provides a recommended framework which organizations can use to implement a cybersecurity engineering process, which includes activities such as integration and testing, penetration testing and verification/validation of cybersecurity requirements at the hardware, software and system levels.
Training / Education

Cybersecurity An Introduction for the Automotive Sector

The automotive industry is the new "battleground" for cybersecurity. Following the path of desktops/laptops, tablets, and mobile phones, the automotive industry is now the "hot" area for both academic researchers and hackers. ...What does cybersecurity mean? Who is attacking and why? What must we change? What can stay the same? What is the larger organization's role in cyber?
Video

SAE Eye on Engineering: Cybersecurity in Cars

2018-08-20
In this episode of SAE Eye on Engineering, Editor-in-Chief Lindsay Brooke looks at cybersecurity concerns in cars. SAE Eye on Engineering also airs Monday mornings on WJR 760 AM Detroit's Paul W.
Technical Paper

Wireless Charging for EV/HEV with Prescriptive Analytics, Machine Learning, Cybersecurity and Blockchain Technology: Ongoing and Future Trends

2019-04-02
2019-01-0790
Due to the rapid development in the technological aspect of the autonomous vehicle (AV), there is a compelling need for research in the field vehicle efficiency and emission reduction without affecting the performance, safety and reliability of the vehicle. Electric vehicle (EV) with rechargeable battery has been proved to be a practical solution for the above problem. In order to utilize the maximum capacity of the battery, a proper power management and control mechanism need to be developed such that it does not affect the performance, reliability and safety of vehicle. Different optimization techniques along with deterministic dynamic programming (DDP) approach are used for the power distribution and management control. The battery-operated electric vehicle can be recharged either by plug-in a wired connection or by the inductive mean (i.e. wirelessly) with the help of the electromagnetic field energy.
Magazine

Aerospace & Defense Technology: October 2015

2015-10-01
Countering cybersecurity threats against unmanned vehicle systems Cranfield University researchers have developed a monitoring system whose purpose is to monitor mission profile implementation at both high level mission execution and at lower level software code operation to tackle specific threats of malicious code and possible spurious commands received over a vehicle's data links.
Technical Paper

Lessons Learned in Inter-Organization Virtual Integration

2018-10-30
2018-01-1944
The SAE AS2C Standard AS5506C Architecture Analysis and Description Language (AADL) is a modeling language for predictive analysis of real-time software reliant, safety and cybersecurity critical systems that provides both the precision of formal modeling and the tool-agnostic freedom of a text-based representation. ...AADL supports multiple domains of architectural analysis such as timing, latency, resources, safety, scheduling, and cybersecurity. Adventium Labs conducted an exercise to determine the applicability of software engineering practices (e.g., continuous integration (CI), application programming interface (API) sharing, test driven development (TDD)) to the AADL-based Architecture Centric Virtual Integration Process (ACVIP).
Technical Paper

Intelligent Vehicle Monitoring for Safety and Security

2019-04-02
2019-01-0129
The caveat to these additional capabilities is issues like cybersecurity, complexity, etc. This paper is an exploration into FuSa and CAVs and will present a systematic approach to understand challenges and propose potential framework, Intelligent Vehicle Monitoring for Safety and Security (IVMSS) to handle faults/malfunctions in CAVs, and specifically autonomous systems.
Training / Education

Design Considerations for Secure Embedded Systems

2019-10-14
Embedded hardware is everywhere you look today from your vehicle’s infotainment system to refrigerator to medical devices and everything else in-between. With so much exposure one would think that such devices are secure against attack; however, sadly for many devices this is not the case. For proof, just look no further than your local news reports. They are full of reports on devices being hacked. So, as engineers, how do we go about first identifying and mitigating (or capitalizing) the potential security vulnerabilities within these devices?
Technical Paper

Securing J1939 Communications Using Strong Encryption with FIPS 140-2

2017-03-28
2017-01-0020
Since 2001, all sensitive information of U.S. Federal Agencies has been protected by strong encryption mandated by the Federal Information Processing Standards (FIPS) 140-2 Security Requirements. The requirements specify a formal certification process. The process ensures that validated encryption modules have implemented the standard, and have passed a rigorous testing and review processes. Today, this same strong security protection has become possible for vehicle networks using modern, cost-effective encryption in hardware. This paper introduces the motivation and context for the encryption diagnostics security in terms of all vehicles in general, not just trucks which use SAE J1939 communications. Several practical scenarios for using such encryption hardware and the advantages of using hardware compared to software private-key encryption and public-key encryption are described.
Magazine

Autonomous Vehicle Engineering: August 2018

2018-08-02
Editorial V2Reality Blockchain Unchained! The weird world of cryptocurrency exists because of the intense mathematics of blockchain technology. The mobility sector is looking beyond Bitcoin to put blockchain to work in potentially game-changing ways. Are Blockchain and 'Smart Contracts' the Secure Future? Legal risk and reward of blockchain and smart contracts as a prescription for automotive applications Software Building Blocks for AV Systems Elektrobit's unique software framework is designed to smooth development of automated driving functions. Cyber Security Goes Upstream The first cloud-based solution for connected vehicles was born in Israel and is now pilot testing at global OEMs. Electronic Architectures Get Smart Upgradable, scalable and powerful new architectures will help enable data-hungry connected, autonomous vehicles. Aptiv's VP of Mobility Architecture explains.
Technical Paper

An Analysis of Secure Software Development Lifecycle from an Automotive Development Perspective

2016-04-05
2016-01-0040
The modern vehicle development is highly dependent on software. The software development plays an extremely important role in vehicle safety and security. In order to ensure software high quality and safety standards, we have investigated the secure software development process and analyzed the works in this area. Based on our analysis, we have identified the similarities and differences between the secure software development process and the existing vehicle development process. We then made suggestions on how to adopt the secure software development process in the overall vehicle development process.
Technical Paper

Recognizing Manipulated Electronic Control Units

2015-04-14
2015-01-0202
Combatting the modification of automotive control systems is a current and future challenge for OEMs and suppliers. ‘Chip-tuning’ is a manifestation of manipulation of a vehicle's original setup and calibration. With the increase in automotive functions implemented in software and corresponding business models, chip tuning will become a major concern. Recognizing and reporting of tuned control units in a vehicle is required for technical as well as legal reasons. This work approaches the problem by capturing the behavior of relevant control units within a machine learning system called a recognition module. The recognition module continuously monitors vehicle's sensor data. It comprises a set of classifiers that have been trained on the intended behavior of a control unit before the vehicle is delivered. When the vehicle is on the road, the recognition module uses the classifier together with current data to ascertain that the behavior of the vehicle is as intended.
Technical Paper

Hardware/Software Co-Design of an Automotive Embedded Firewall

2017-03-28
2017-01-1659
The automotive industry experiences a major change as vehicles are gradually becoming a part of the Internet. Security concepts based on the closed-world assumption cannot be deployed anymore due to a constantly changing adversary model. Automotive Ethernet as future in-vehicle network and a new E/E Architecture have different security requirements than Ethernet known from traditional IT and legacy systems. In order to achieve a high level of security, a new multi-layer approach in the vehicle which responds to special automotive requirements has to be introduced. One essential layer of this holistic security concept is to restrict non-authorized access by the deployment of embedded firewalls. This paper addresses the introduction of automotive firewalls into the next-generation domain architecture with a focus on partitioning of its features in hardware and software.
Technical Paper

Experimental Setup Enabling Self-Confrontation Interviews for Modelling Naturalistic Driving Behavior

2019-04-02
2019-01-1082
Behavioral models of traffic actors have a potential of unlocking sophisticated safety features and mitigating several challenges of urban automated driving. Intuitively, volunteers driving on routes of daily commuting in their private vehicles are the preferred source of information to be captured by data collection system. Such dataset can then serve as a basis for identifying efficient methods of context representation and parameterization of behavioral models. This paper describes the experimental setup supporting the development of driver behavioral models within the SIMUSAFE project. In particular, the paper presents an IoT data acquisition and analysis infrastructure supporting self-confrontation interviews with drivers. The proposed retrofit system was installed in private vehicles of volunteers in two European cities. Wherever possible, the setup used open source software and electronic components available on consumer market.
Technical Paper

Modelify: Semi-Automatic Conversion of Control Systems C Code to Simulink Models

2016-04-05
2016-01-0020
Over the last decade, the automotive industry has embraced model-based development for control systems. Many of these companies have chosen Simulink from MathWorks to design and simulate these models. However, a remaining issue is the fact that many control systems were initially written in C and are still being used. Some companies have attempted to manually convert these C systems to Simulink models but have found this method to be too costly, error-prone, and time consuming. EnSoft decided to tackle this problem by providing a semi-automated conversion using our Atlas for C tool. Atlas is a tool that maps software and creates a relation map for all parts of the program. It then offers the developer tools to query and visualize this graph. We have developed Modelify, a tool built on this framework that performs the necessary queries on a C project and creates equivalent Simulink models and subsystems.
Technical Paper

Case Study for Defining Security Goals and Requirements for Automotive Security Parts Using Threat Modeling

2018-04-03
2018-01-0014
Several external networks like telematics, and SOTA and many in-vehicle networks by gateways and domain controllers have been increasingly introduced. However, these trends may potentially make many critical data opened, attacked and modified by hackers. These days, vehicle security has been significantly required as these vehicle security threats are related to the human life like drivers and pedestrians. Threat modeling is process of secure software development lifecycle which is developed by Microsoft. It is a systematic approach for analyzing the potential threat in software and identifying the security risk associated with software. Through threat modeling, security risk is be mitigated and eliminated. In vehicle software System, one of vulnerability can affect critical problem about safety. An approach from experience and hacking cases is not enough for analyzing the potential threat and preparing new hacking attack.
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