{"product_id":"artificial-intelligence-for-cyberphysical-systems-hardening-9783031162367","title":"Artificial Intelligence for Cyber-Physical Systems Hardening","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003eThis book explores new machine learning and artificial intelligence approaches and technologies for securing cyber-physical systems, presenting fundamental AI\/ML principles and case studies. It is a valuable resource for students, instructors, researchers, industry practitioners, and government agencies. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 233 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 24 November 2022\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer International Publishing AG\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eCyber-physical systems (CPS) are a rapidly evolving field that combines the principles of software, sensors, and actuators to create integrated systems that can interact with the physical world. These systems are becoming increasingly important in various industries, such as transportation, healthcare, and manufacturing, as they enable the automation of processes, improve efficiency, and enhance safety. However, the development of secure and trustworthy CPS poses significant challenges, as these systems are vulnerable to a wide range of threats, including cyberattacks, physical tampering, and human error.\u003cbr\u003e\u003cbr\u003eTo address these challenges, researchers and industry practitioners have been developing new machine learning (ML) and artificial intelligence (AI) approaches and technologies. These approaches aim to improve the security and trustworthiness of CPS by enabling them to detect and respond to threats in real-time.\u003cbr\u003e\u003cbr\u003eThis book presents advances in security assurance for cyber-physical systems and reports on new ML and AI approaches and technologies developed by the research community and the industry. It covers a wide range of topics, including:\u003cbr\u003e\u003cbr\u003eFundamental AI\/ML principles and concepts applied in developing secure and trustworthy CPS.\u003cbr\u003e\u003cbr\u003eRecent research and development efforts in this fascinating area.\u003cbr\u003e\u003cbr\u003eRelevant case studies, examples, and datasets.\u003cbr\u003e\u003cbr\u003eThe book is organized into five chapters, each covering a different aspect of security assurance for CPS. Chapter 1 provides an introduction to the field of CPS and discusses the challenges faced by these systems. Chapter 2 introduces fundamental AI\/ML principles and concepts applied in developing secure and trustworthy CPS. Chapter 3 discusses recent research and development efforts in this area, including machine learning algorithms, deep learning techniques, and natural language processing. Chapter 4 presents relevant case studies, examples, and datasets that demonstrate the practical applications of AI\/ML in developing secure and trustworthy CPS. Chapter 5 concludes the book by discussing future directions and challenges in this field.\u003cbr\u003e\u003cbr\u003eWe believe that this book is a valuable reference for students, instructors, researchers, industry practitioners, and related government agencies staff. It provides a comprehensive overview of the latest developments in security assurance for cyber-physical systems and offers insights into the future of this exciting field.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003cstrong\u003eIntroduction:\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003eCyber-physical systems (CPS) are a rapidly evolving field that combines the principles of software, sensors, and actuators to create integrated systems that can interact with the physical world. These systems are becoming increasingly important in various industries, such as transportation, healthcare, and manufacturing, as they enable the automation of processes, improve efficiency, and enhance safety. However, the development of secure and trustworthy CPS poses significant challenges, as these systems are vulnerable to a wide range of threats, including cyberattacks, physical tampering, and human error.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003eTo address these challenges, researchers and industry practitioners have been developing new machine learning (ML) and artificial intelligence (AI) approaches and technologies. These approaches aim to improve the security and trustworthiness of CPS by enabling them to detect and respond to threats in real-time.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003eThis book presents advances in security assurance for cyber-physical systems and reports on new ML and AI approaches and technologies developed by the research community and the industry. It covers a wide range of topics, including:\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003cstrong\u003eFundamental AI\/ML principles and concepts applied in developing secure and trustworthy CPS:\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003eChapter 1 provides an introduction to the field of CPS and discusses the challenges faced by these systems. Chapter 2 introduces fundamental AI\/ML principles and concepts applied in developing secure and trustworthy CPS. Chapter 3 discusses recent research and development efforts in this area, including machine learning algorithms, deep learning techniques, and natural language processing. Chapter 4 presents relevant case studies, examples, and datasets that demonstrate the practical applications of AI\/ML in developing secure and trustworthy CPS. Chapter 5 concludes the book by discussing future directions and challenges in this field.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003cstrong\u003eConclusion:\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003eWe believe that this book is a valuable reference for students, instructors, researchers, industry practitioners, and related government agencies staff. It provides a comprehensive overview of the latest developments in security assurance for cyber-physical systems and offers insights into the future of this exciting field.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 541g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 235 x 155 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783031162367\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2023\u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Hardback","offer_id":44515837444346,"sku":"9783031162367","price":124.94,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1692376128084_book.jpg?v=1692885311","url":"https:\/\/shulphink.com\/products\/artificial-intelligence-for-cyberphysical-systems-hardening-9783031162367","provider":"Shulph Ink","version":"1.0","type":"link"}