Cybersecurity and Digital Trust Issues in Connected and Automated Vehicles

Cybersecurity and Digital Trust Issues in Connected and Automated Vehicles

Author: Qadeer Ahmed

Publisher: SAE International

Published: 2024-04-22

Total Pages: 32

ISBN-13: 1468608150

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Given the rapid advancements in engineering and technology, it is anticipated that connected and automated vehicles (CAVs) will soon become prominent in our daily lives. This development has a vast potential to change the socio-technical perception of public, personal, and freight transportation. The potential benefits to society include reduced driving risks due to human errors, increased mobility, and overall productivity of autonomous vehicle consumers. On the other hand, the potential risks associated with CAV deployment related to technical vulnerabilities are safety and cybersecurity issues that may arise from flawed hardware and software. Cybersecurity and Digital Trust Issues in Connected and Automated Vehicles elaborates on these topics as unsettled cybersecurity and digital trust issues in CAVs and follows with recommendations to fill in the gaps in this evolving field. This report also highlights the importance of establishing robust cybersecurity protocols and fostering digital trust in these vehicles to ensure safe and secure deployment in our modern transportation system. Click here to access The Mobility Frontier: Cybersecurity and Trust Click here to access the full SAE EDGETM Research Report portfolio. https://doi.org/10.4271/EPR2024009


Smart Cities Cybersecurity and Privacy

Smart Cities Cybersecurity and Privacy

Author: Danda B. Rawat

Publisher: Elsevier

Published: 2018-12-04

Total Pages: 306

ISBN-13: 0128150335

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Smart Cities Cybersecurity and Privacy examines the latest research developments and their outcomes for safe, secure, and trusting smart cities residents. Smart cities improve the quality of life of citizens in their energy and water usage, healthcare, environmental impact, transportation needs, and many other critical city services. Recent advances in hardware and software, have fueled the rapid growth and deployment of ubiquitous connectivity between a city's physical and cyber components. This connectivity however also opens up many security vulnerabilities that must be mitigated. Smart Cities Cybersecurity and Privacy helps researchers, engineers, and city planners develop adaptive, robust, scalable, and reliable security and privacy smart city applications that can mitigate the negative implications associated with cyber-attacks and potential privacy invasion. It provides insights into networking and security architectures, designs, and models for the secure operation of smart city applications. - Consolidates in one place state-of-the-art academic and industry research - Provides a holistic and systematic framework for design, evaluating, and deploying the latest security solutions for smart cities - Improves understanding and collaboration among all smart city stakeholders to develop more secure smart city architectures


Autonomous Vehicle Technology

Autonomous Vehicle Technology

Author: James M. Anderson

Publisher: Rand Corporation

Published: 2014-01-10

Total Pages: 215

ISBN-13: 0833084372

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The automotive industry appears close to substantial change engendered by “self-driving” technologies. This technology offers the possibility of significant benefits to social welfare—saving lives; reducing crashes, congestion, fuel consumption, and pollution; increasing mobility for the disabled; and ultimately improving land use. This report is intended as a guide for state and federal policymakers on the many issues that this technology raises.


Risk Assessment and Decision Analysis with Bayesian Networks

Risk Assessment and Decision Analysis with Bayesian Networks

Author: Norman Fenton

Publisher: CRC Press

Published: 2018-09-03

Total Pages: 661

ISBN-13: 1351978977

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Since the first edition of this book published, Bayesian networks have become even more important for applications in a vast array of fields. This second edition includes new material on influence diagrams, learning from data, value of information, cybersecurity, debunking bad statistics, and much more. Focusing on practical real-world problem-solving and model building, as opposed to algorithms and theory, it explains how to incorporate knowledge with data to develop and use (Bayesian) causal models of risk that provide more powerful insights and better decision making than is possible from purely data-driven solutions. Features Provides all tools necessary to build and run realistic Bayesian network models Supplies extensive example models based on real risk assessment problems in a wide range of application domains provided; for example, finance, safety, systems reliability, law, forensics, cybersecurity and more Introduces all necessary mathematics, probability, and statistics as needed Establishes the basics of probability, risk, and building and using Bayesian network models, before going into the detailed applications A dedicated website contains exercises and worked solutions for all chapters along with numerous other resources. The AgenaRisk software contains a model library with executable versions of all of the models in the book. Lecture slides are freely available to accredited academic teachers adopting the book on their course.


AUTOMOTIVE CYBER SECURITY CHALLENGES A Beginner's Guide

AUTOMOTIVE CYBER SECURITY CHALLENGES A Beginner's Guide

Author: Dr Yasir Imtiaz Khan

Publisher:

Published: 2020-02-24

Total Pages: 84

ISBN-13:

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This book explores the need for cyber security in automotive and what all the stakeholderse.g., Original Equipment Manufacturers (OEMs), users, security experts could do to fillthe cyber security gaps. In particular, it looks at the security domain changes and howthreat modelling and ethical hacking can help to secure modern vehicles. Furthermore, itexamines the skills and tools that everyone who wants to work as automotive cyber securitypersonal needs to be aware of, as well as how to think like an attacker and explore someadvanced security methodologies.This book could serve very well as a text book for undergraduate (year 3) and postgraduatemodules for automotive cyber security.


Intelligent Vehicular Networks and Communications

Intelligent Vehicular Networks and Communications

Author: Anand Paul

Publisher: Elsevier

Published: 2016-09-02

Total Pages: 244

ISBN-13: 0128095466

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Intelligent Vehicular Network and Communications: Fundamentals, Architectures and Solutions begins with discussions on how the transportation system has transformed into today's Intelligent Transportation System (ITS). It explores the design goals, challenges, and frameworks for modeling an ITS network, discussing vehicular network model technologies, mobility management architectures, and routing mechanisms and protocols. It looks at the Internet of Vehicles, the vehicular cloud, and vehicular network security and privacy issues. The book investigates cooperative vehicular systems, a promising solution for addressing current and future traffic safety needs, also exploring cooperative cognitive intelligence, with special attention to spectral efficiency, spectral scarcity, and high mobility. In addition, users will find a thorough examination of experimental work in such areas as Controller Area Network protocol and working function of On Board Unit, as well as working principles of roadside unit and other infrastructural nodes. Finally, the book examines big data in vehicular networks, exploring various business models, application scenarios, and real-time analytics, concluding with a look at autonomous vehicles. - Proposes cooperative, cognitive, intelligent vehicular networks - Examines how intelligent transportation systems make more efficient transportation in urban environments - Outlines next generation vehicular networks technology


Bayesian Networks and Decision Graphs

Bayesian Networks and Decision Graphs

Author: Thomas Dyhre Nielsen

Publisher: Springer Science & Business Media

Published: 2009-03-17

Total Pages: 457

ISBN-13: 0387682821

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This is a brand new edition of an essential work on Bayesian networks and decision graphs. It is an introduction to probabilistic graphical models including Bayesian networks and influence diagrams. The reader is guided through the two types of frameworks with examples and exercises, which also give instruction on how to build these models. Structured in two parts, the first section focuses on probabilistic graphical models, while the second part deals with decision graphs, and in addition to the frameworks described in the previous edition, it also introduces Markov decision process and partially ordered decision problems.


Measuring Automated Vehicle Safety

Measuring Automated Vehicle Safety

Author: Laura Fraade-Blanar

Publisher:

Published: 2018

Total Pages: 0

ISBN-13: 9781977401649

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This report presents a framework for measuring safety in automated vehicles (AVs): how to define safety for AVs, how to measure safety for AVs, and how to communicate what is learned or understood about AVs.


Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance

Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance

Author: El Bachir Boukherouaa

Publisher: International Monetary Fund

Published: 2021-10-22

Total Pages: 35

ISBN-13: 1589063953

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This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.


Introduction to Automotive Cybersecurity

Introduction to Automotive Cybersecurity

Author: Silviu Ciuta

Publisher: Silviu Ciuta

Published: 2023-10-20

Total Pages: 67

ISBN-13:

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In today's fast-paced, interconnected world, the automotive industry stands at the forefront of technological innovation. Modern vehicles are no longer just mechanical marvels; they have evolved into rolling computers on wheels. This transformation has not only revolutionized the driving experience but has also introduced new challenges and vulnerabilities, chief among them being automotive cybersecurity. The Mechanical Era The roots of the automotive industry trace back to the late 19th century, with pioneers like Karl Benz and Henry Ford introducing the world to the marvels of the motor vehicle. In these early days, cars were purely mechanical contraptions, devoid of any digital components. The idea of a "car hack" was inconceivable as there were no computers or electronic control units (ECUs) to compromise. The Emergence of Digital Control The 20th century brought about a pivotal shift as automotive engineers began incorporating electronic systems for improved performance, safety, and comfort. The introduction of the Engine Control Unit (ECU) marked a significant milestone. ECUs allowed for more precise control over engine functions, optimizing fuel efficiency and emissions. As digital technology became more pervasive, ECUs multiplied and evolved to control various aspects of the vehicle, from anti-lock brakes to airbags. Vehicles were becoming increasingly reliant on software and electronic components. This shift enhanced vehicle performance and opened the door to exciting new features, but it also laid the groundwork for cybersecurity concerns. The First Signs of Vulnerability In the early 21st century, automotive cybersecurity entered the public consciousness. Researchers began uncovering vulnerabilities in vehicles' digital systems. The emergence of keyless entry systems and wireless tire pressure monitoring systems raised concerns. These convenience features, while enhancing the driving experience, also presented opportunities for malicious actors to exploit wireless communications. In 2010, researchers demonstrated the remote hijacking of a car's systems, a watershed moment that alerted the industry to the looming threats. It was a wake-up call for manufacturers to recognize that cars, like any other connected devices, could be hacked. Industry Response and Regulations As the threat landscape evolved, the automotive industry mobilized to address cybersecurity concerns. Manufacturers started implementing security measures in their vehicles, and organizations such as the Society of Automotive Engineers (SAE) began developing standards for automotive cybersecurity. These standards aimed to guide manufacturers in securing their vehicles against potential threats.