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Standard

Cybersecurity Guidebook for Cyber-Physical Vehicle Systems

2016-01-14
CURRENT
J3061_201601
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.
Journal Article

Intelligent Transportation System Security: Hacked Message Signs

2018-06-18
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.
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

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.
Book

Commercial Aviation Cyber Security: Current State and Essential Reading

2016-12-31
In the next decade, commercial aviation will see Next Generation ATM (NextGEN), Single European Skies ATM Research (SESAR), and others utilizing Internet- based air-to-ground communication links for advanced “air traffic control” (ATC) communications. Commercial Aviation Cyber Security: Current State and Essential Reading highlights some of the major issues the industry must confront if the vision of a new, advanced air traffic management is to come to fruition. This will require standardization work to identify key components with built-in cyber security that will guide prototype testing, functionality, and prioritizing implementation efforts to solve the roadblocks to global interoperability. The ten technical papers selected for Commercial Aviation Cyber Security: Current State and Essential Reading span the last decade’s work in commercial aviation cyber security, and aircraft cyber technologies.
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