Building Secure Automotive IoT Applications


Book Description

Enhance your automotive IoT design and development knowledge by learning vehicle architectures, cybersecurity best practices, cloud applications, and software development processes Key Features Explore modern vehicle architectures designed to support automotive IoT use cases Discover cybersecurity practices and processes to develop secure automotive IoT applications Gain insights into how cloud technologies and services power automotive IoT applications Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionSoftware-defined vehicles, equipped with extensive computing power and connectivity, are unlocking new possibilities in automotive Internet of Things (IoT) applications, creating a critical need for skilled software engineers to lead innovation in the automotive sector. This book equips you to thrive in this industry by learning automotive IoT software development. The book starts by examining the current trends in automotive technology, highlighting IoT applications and key vehicle architectures, including the AUTOSAR platform. It delves into both classic and service-oriented vehicle diagnostics before covering robust security practices for automotive IoT development. You’ll learn how to adhere to industry standards such as ISO/SAE 21434, ASPICE for cybersecurity, and DevSecOps principles, with practical guidance on establishing a secure software development platform. Advancing to the system design of an automotive IoT application, you’ll be guided through the development of a remote vehicle diagnostics application and progress through chapters step by step, addressing the critical aspects of deploying and maintaining IoT applications in production environments. By the end of the book, you’ll be ready to integrate all the concepts you’ve learned to form a comprehensive framework of processes and best practices for embedded automotive development.What you will learn Explore the current automotive landscape and IoT tech trends Examine automotive IoT use cases such as phone-as-a-key, predictive maintenance, and V2X Grasp standard frameworks such as classic and adaptive AUTOSAR Get to grips with vehicle diagnostic protocols such as UDS, DoIP, and SOVD Establish a secure development process and mitigate software supply chain risks with CIAD, RASIC, and SBOM Leverage ASPICE and functional safety processes for industry standards compliance Understand how to design, develop, and deploy an automotive IoT application Who this book is for This book is for embedded developers and software engineers working in the automotive industry looking to learn IoT development, as well as IoT developers who want to learn automotive development. A fundamental grasp of software development will assist with understanding the concepts covered in the book.




Building Secure Automotive IoT Applications


Book Description

This book teaches skills in vehicle architectures, cybersecurity, and the cloud. Additionally, you'll get hands-on with embedded software development.




Building Secure Cars


Book Description

Explores how the automotive industry can address the increased risks of cyberattacks and incorporate security into the software development lifecycle While increased connectivity and advanced software-based automotive systems provide tremendous benefits and improved user experiences, they also make the modern vehicle highly susceptible to cybersecurity attacks. In response, the automotive industry is investing heavily in establishing cybersecurity engineering processes. Written by a seasoned automotive expert with abundant international industry expertise, Building Secure Cars: Assuring the Software Development Lifecycle introduces readers to various types of cybersecurity activities, measures, and solutions that can be applied at each stage in the typical automotive development process. This book aims to assist auto industry insiders build more secure cars by incorporating key security measures into their software development lifecycle. Readers will learn to better understand common problems and pitfalls in the development process that lead to security vulnerabilities. To overcome such challenges, this book details how to apply and optimize various automated solutions, which allow software development and test teams to identify and fix vulnerabilities in their products quickly and efficiently. This book balances technical solutions with automotive technologies, making implementation practical. Building Secure Cars is: One of the first books to explain how the automotive industry can address the increased risks of cyberattacks, and how to incorporate security into the software development lifecycle An optimal resource to help improve software security with relevant organizational workflows and technical solutions A complete guide that covers introductory information to more advanced and practical topics Written by an established professional working at the heart of the automotive industry Fully illustrated with tables and visuals, plus real-life problems and suggested solutions to enhance the learning experience This book is written for software development process owners, security policy owners, software developers and engineers, and cybersecurity teams in the automotive industry. All readers will be empowered to improve their organizations' security postures by understanding and applying the practical technologies and solutions inside.




Building the Hyperconnected Society- Internet of Things Research and Innovation Value Chains, Ecosystems and Markets


Book Description

This book aims to provide a broad overview of various topics of Internet of Things (IoT), ranging from research, innovation and development priorities to enabling technologies, nanoelectronics, cyber-physical systems, architecture, interoperability and industrial applications. All this is happening in a global context, building towards intelligent, interconnected decision making as an essential driver for new growth and co-competition across a wider set of markets. It is intended to be a standalone book in a series that covers the Internet of Things activities of the IERC – Internet of Things European Research Cluster from research to technological innovation, validation and deployment.The book builds on the ideas put forward by the European Research Cluster on the Internet of Things Strategic Research and Innovation Agenda, and presents global views and state of the art results on the challenges facing the research, innovation, development and deployment of IoT in future years. The concept of IoT could disrupt consumer and industrial product markets generating new revenues and serving as a growth driver for semiconductor, networking equipment, and service provider end-markets globally. This will create new application and product end-markets, change the value chain of companies that creates the IoT technology and deploy it in various end sectors, while impacting the business models of semiconductor, software, device, communication and service provider stakeholders. The proliferation of intelligent devices at the edge of the network with the introduction of embedded software and app-driven hardware into manufactured devices, and the ability, through embedded software/hardware developments, to monetize those device functions and features by offering novel solutions, could generate completely new types of revenue streams. Intelligent and IoT devices leverage software, software licensing, entitlement management, and Internet connectivity in ways that address many of the societal challenges that we will face in the next decade.




Mastering IOT


Book Description

Leverage the full potential of IoT with the combination of Raspberry Pi 3 and Python and architect a complete IoT system that is the best fit for your organization Key FeaturesBuild complex Python-based applications with IoTExplore different concepts, technologies, and tradeoffs in the IoT architectural stackDelve deep into each element of the IoT design—from sensors to the cloudBook Description The Internet of Things (IoT) is the fastest growing technology market. Industries are embracing IoT technologies to improve operational expenses, product life, and people's well-being. We’ll begin our journey with an introduction to Raspberry Pi and quickly jump right into Python programming. We’ll learn all concepts through multiple projects, and then reinforce our learnings by creating an IoT robot car. We’ll examine modern sensor systems and focus on what their power and functionality can bring to our system. We’ll also gain insight into cloud and fog architectures, including the OpenFog standards. The Learning Path will conclude by discussing three forms of prevalent attacks and ways to improve the security of our IoT infrastructure. By the end of this Learning Path, we will have traversed the entire spectrum of technologies needed to build a successful IoT system, and will have the confidence to build, secure, and monitor our IoT infrastructure. This Learning Path includes content from the following Packt products: Internet of Things Programming Projects by Colin DowInternet of Things for Architects by Perry LeaWhat you will learnBuild a home security dashboard using an infrared motion detectorReceive data and display it with an actuator connected to the Raspberry PiBuild an IoT robot car that is controlled via the InternetUse IP-based communication to easily and quickly scale your systemExplore cloud protocols, such as Message Queue Telemetry Transport (MQTT) and CoAPSecure communication with encryption forms, such as symmetric keyWho this book is for This Learning Path is designed for developers, architects, and system designers who are interested in building exciting projects with Python by understanding the IoT ecosphere, various technologies, and tradeoffs. Technologists and technology managers who want to develop a broad view of IoT architecture, will also find this Learning Path useful. Prior programming knowledge of Python is a must.







Demystifying Internet of Things Security


Book Description

Break down the misconceptions of the Internet of Things by examining the different security building blocks available in Intel Architecture (IA) based IoT platforms. This open access book reviews the threat pyramid, secure boot, chain of trust, and the SW stack leading up to defense-in-depth. The IoT presents unique challenges in implementing security and Intel has both CPU and Isolated Security Engine capabilities to simplify it. This book explores the challenges to secure these devices to make them immune to different threats originating from within and outside the network. The requirements and robustness rules to protect the assets vary greatly and there is no single blanket solution approach to implement security. Demystifying Internet of Things Security provides clarity to industry professionals and provides and overview of different security solutions What You'll Learn Secure devices, immunizing them against different threats originating from inside and outside the network Gather an overview of the different security building blocks available in Intel Architecture (IA) based IoT platforms Understand the threat pyramid, secure boot, chain of trust, and the software stack leading up to defense-in-depth Who This Book Is For Strategists, developers, architects, and managers in the embedded and Internet of Things (IoT) space trying to understand and implement the security in the IoT devices/platforms.




Security and Organization within IoT and Smart Cities


Book Description

This book aims to provide the latest research developments and results in the domain of AI techniques for smart cyber ecosystems. It presents a holistic insight into AI-enabled theoretic approaches and methodology in IoT networking, security analytics using AI tools and network automation, which ultimately enable intelligent cyber space. This book will be a valuable resource for students, researchers, engineers and policy makers working in various areas related to cybersecurity and privacy for Smart Cities. This book includes chapters titled "An Overview of the Artificial Intelligence Evolution and Its Fundamental Concepts, and Their Relationship with IoT Security", "Smart City: Evolution and Fundamental Concepts", "Advances in AI-Based Security for Internet of Things in Wireless Virtualization Environment", "A Conceptual Model for Optimal Resource Sharing of Networked Microgrids Focusing Uncertainty: Paving Path to Eco-friendly Smart Cities", "A Novel Framework for a Cyber Secure Smart City", "Contemplating Security Challenges and Threats for Smart Cities", "Self-Monitoring Obfuscated IoT Network", "Introduction to Side Channel Attacks and Investigation of Power Analysis and Fault Injection Attack Techniques", "Collaborative Digital Forensic Investigations Model for Law Enforcement: Oman as a Case Study", "Understanding Security Requirements and Challenges in the Industrial Internet of Things: A Review", "5G Security and the Internet of Things", "The Problem of Deepfake Videos and How to Counteract Them in Smart Cities", "The Rise of Ransomware Aided by Vulnerable IoT Devices", "Security Issues in Self-Driving Cars within Smart Cities", and "Trust-Aware Crowd Associated Network-Based Approach for Optimal Waste Management in Smart Cities". This book provides state-of-the-art research results and discusses current issues, challenges, solutions and recent trends related to security and organization within IoT and Smart Cities. We expect this book to be of significant importance not only to researchers and practitioners in academia, government agencies and industries, but also for policy makers and system managers. We anticipate this book to be a valuable resource for all those working in this new and exciting area, and a "must have" for all university libraries.




Software Supply Chain Security


Book Description

Trillions of lines of code help us in our lives, companies, and organizations. But just a single software cybersecurity vulnerability can stop entire companies from doing business and cause billions of dollars in revenue loss and business recovery. Securing the creation and deployment of software, also known as software supply chain security, goes well beyond the software development process. This practical book gives you a comprehensive look at security risks and identifies the practical controls you need to incorporate into your end-to-end software supply chain. Author Cassie Crossley demonstrates how and why everyone involved in the supply chain needs to participate if your organization is to improve the security posture of its software, firmware, and hardware. With this book, you'll learn how to: Pinpoint the cybersecurity risks in each part of your organization's software supply chain Identify the roles that participate in the supply chain—including IT, development, operations, manufacturing, and procurement Design initiatives and controls for each part of the supply chain using existing frameworks and references Implement secure development lifecycle, source code security, software build management, and software transparency practices Evaluate third-party risk in your supply chain




Building Cloud Data Platforms Solutions


Book Description

"Building Cloud Data Platforms Solutions: An End-to-End Guide for Designing, Implementing, and Managing Robust Data Solutions in the Cloud" comprehensively covers a wide range of topics related to building data platforms in the cloud. This book provides a deep exploration of the essential concepts, strategies, and best practices involved in designing, implementing, and managing end-to-end data solutions. The book begins by introducing the fundamental principles and benefits of cloud computing, with a specific focus on its impact on data management and analytics. It covers various cloud services and architectures, enabling readers to understand the foundation upon which cloud data platforms are built. Next, the book dives into key considerations for building cloud data solutions, aligning business needs with cloud data strategies, and ensuring scalability, security, and compliance. It explores the process of data ingestion, discussing various techniques for acquiring and ingesting data from different sources into the cloud platform. The book then delves into data storage and management in the cloud. It covers different storage options, such as data lakes and data warehouses, and discusses strategies for organizing and optimizing data storage to facilitate efficient data processing and analytics. It also addresses data governance, data quality, and data integration techniques to ensure data integrity and consistency across the platform. A significant portion of the book is dedicated to data processing and analytics in the cloud. It explores modern data processing frameworks and technologies, such as Apache Spark and serverless computing, and provides practical guidance on implementing scalable and efficient data processing pipelines. The book also covers advanced analytics techniques, including machine learning and AI, and demonstrates how these can be integrated into the data platform to unlock valuable insights. Furthermore, the book addresses an aspects of data platform monitoring, security, and performance optimization. It explores techniques for monitoring data pipelines, ensuring data security, and optimizing performance to meet the demands of real-time data processing and analytics. Throughout the book, real-world examples, case studies, and best practices are provided to illustrate the concepts discussed. This helps readers apply the knowledge gained to their own data platform projects.