商品描述
This book provides a comprehensive overview of deception in autonomous transport systems. This involves investigating the threats facing autonomous transport systems and how they can contribute towards a deceptive attack, followed by their potential impact if successful, and finally, how they can be mitigated. The work in this book is grouped into three parts. This first part focuses on the area of smart cities, policies, and ethics. This includes critically appraising the trade-off between functionality and security with connected and autonomous vehicles. The second discusses a range of AI applications in the wider field of smart transport and mobility, such as detecting anomalies in vehicle behaviour to investigating detecting disobedient vehicles. Finally, the third part presents and discusses cybersecurity-related aspects to consider when dealing with Connected and Autonomous Vehicles (CAVs) and smart urban infrastructure. This includes analysing different attacks to investigating secure communication technologies. CAVs are a game-changing technology with the potential to transform the way transport is perceived, mobility is serviced, travel ecosystems 'behave', and cities and societies as a whole function. There are many foreseen safety, accessibility and sustainability benefits resulting from the adoption of CAVs because of their ability, in theory, to operate error-free and collaboratively, ranging from accident prevention, congestion reduction and decreased carbon emissions to time savings, increased social inclusion, optimised routing, and better traffic control. However, no matter what the expected benefits are, CAVs are at the same time susceptible to an unprecedented number of new digital and physical threats. The severity of these threats has resulted in an increased effort to deepen our understanding of CAVs when it comes to their safety and resilience. In this complex and multi-faceted scenario, this book aims to provide an extensive overview of the risks related to the malicious exploitation of CAVs and beyond, the potential ways in which vulnerabilities can be exploited, prevention and mitigation policies and techniques, and the impact that the non-acceptance of Connected and Autonomous Mobility can have on the Smart City agenda.
This book targets researchers, practitioners, and advanced-level students in computer science and transport engineering.
商品描述(中文翻譯)
本書提供了自動運輸系統中欺騙行為的全面概述。這涉及調查自動運輸系統面臨的威脅，以及這些威脅如何促成欺騙性攻擊，接著探討如果攻擊成功可能帶來的影響，最後討論如何減輕這些影響。本書的內容分為三個部分。第一部分專注於智慧城市、政策和倫理領域，包括對連接和自動駕駛車輛在功能性與安全性之間的權衡進行批判性評估。第二部分討論了在更廣泛的智慧運輸和流動性領域中各種人工智慧應用，例如檢測車輛行為中的異常，以及調查不服從的車輛。最後，第三部分介紹並討論了在處理連接和自動駕駛車輛（CAVs）及智慧城市基礎設施時需要考慮的網路安全相關方面，包括分析不同的攻擊方式以及調查安全通信技術。
CAVs 是一項顛覆性的技術，具有改變運輸認知、流動性服務、旅行生態系統的運作方式，以及整體城市和社會功能的潛力。由於 CAVs 理論上能夠無誤且協作地運作，因此預見到許多安全性、可及性和可持續性方面的好處，這些好處包括事故預防、減少擁堵、降低碳排放、節省時間、提高社會包容性、優化路徑以及改善交通控制。然而，無論預期的好處為何，CAVs 同時也容易受到前所未有的新數位和實體威脅。這些威脅的嚴重性促使我們加大努力，深入了解 CAVs 的安全性和韌性。在這個複雜且多面向的情境中，本書旨在提供有關 CAVs 及其以外的惡意利用風險的廣泛概述，潛在的漏洞利用方式，預防和減輕政策及技術，以及不接受連接和自動駕駛流動性對智慧城市議程可能造成的影響。
本書的目標讀者為計算機科學和運輸工程領域的研究人員、實務工作者及高級學生。
作者簡介
Professor Simon Parkinson is an award-winning academic in the intersection between Cyber Security and Artificial Intelligence. He is a Professor at the University of Huddersfield and a member of the UK Government's Cyber Security Advisory Board (GCAB). He has been researching topics on the interface between AI and Cyber Security, with a focus on transport. He has led to the completion of funded projects with a total value of £1.3M, with funding coming from the UK's Engineering and Physical Sciences Research Council (EPSRC), EU Commission, and The Defence Science and Technology Laboratory (Dstl), amongst others. His consultancy work for the UK Government into threats facing Connected and Autonomous Vehicles (Ref: SO18277) resulted in influential work helping to shape government standards (PAS 1885:2018) and EU policy (EUR 29782 EN). He has experience in organising and engaging in conferences and knowledge dissemination events. He has also co-edited two books on topics including Artificial Intelligence, Cyber Security and Digital Forensics.
Professor Mauro Vallati is an accomplished academic with a proven track record in the field of AI for sustainable transport. He holds a UKRI Future Leaders Fellowship on AI for Autonomic Urban Traffic Monitoring and Control. He is an ACM Senior Member and ACM Distinguished Speaker on AI for the UK. He is a Professor of AI at the University of Huddersfield, where he leads the Autonomous Intelligent Systems research centre and the AI for Urban Traffic Control research team, and Visiting Professor at the University of Genova, Italy. Prof Vallati has extensive experience in real-world applications of AI methods and techniques to sustainable transport, as testified by the patents in the field and by the support of Innovate UK, UKRI, EPSRC, EU, and industry (totalling more than £2M). He actively supports the research community by supervising and examining PhD Students (both in the UK and in the EU), organising top-ranked conferences, and taking editorial roles in major academic journals.
Alexandros Nikitas is a Professor in Smart Transport for Huddersfield Business School, University of Huddersfield, UK. Prof Nikitas is Huddersfield's Future Mobility Lab Founding Director and the Deputy Director of the School's Behavioural Research Centre. Prof Nikitas is the Chair of the Universities' Transport Study Group's Executive Committee, a group that is the premier academic forum in the UK and Ireland for transport research and teaching with 60 Universities. Prof Nikitas has worked extensively in the areas of sustainable and socially inclusive mobility and automated, connected, alternatively fuelled and shared transport. He is the Associate Editor of the Journal of Transport & Health and a member of the Editorial Boards of the Journals Research in Transportation Business & Management and Case Studies on Transport Policy. His research has been published in more than 90journal and conference papers. He has led and/or worked with great success among others on Horizon 2020 and FP7 programmes and organized several academic workshops and top conference sessions. Earlier in his career, Prof Nikitas was a Senior Researcher in Urban Futures and Transportation for Chalmers University of Technology, Sweden. He has also been an invited visiting scholar for Tongji University and Chang'an University in China and EC's Joint Research Centre Ispra, Italy. Between 2011 and 2014, he served as a Local Councilor for his hometown, Drama, Greece.
作者簡介(中文翻譯)
西蒙·帕金森教授是一位在網路安全與人工智慧交叉領域的獲獎學者。他是哈德斯菲爾德大學的教授，也是英國政府網路安全諮詢委員會（GCAB）的成員。他一直在研究人工智慧與網路安全之間的介面，特別專注於交通運輸領域。他主導的資助項目總價值達130萬英鎊，資金來自英國工程與物理科學研究委員會（EPSRC）、歐盟委員會以及國防科學與技術實驗室（Dstl）等機構。他為英國政府提供的有關連接與自動駕駛車輛面臨威脅的顧問工作（參考編號：SO18277）促成了影響深遠的成果，幫助塑造了政府標準（PAS 1885:2018）和歐盟政策（EUR 29782 EN）。他在組織和參與會議及知識傳播活動方面擁有豐富的經驗。他還共同編輯了兩本有關人工智慧、網路安全和數位取證的書籍。
毛羅·瓦拉提教授是一位在可持續交通領域具有卓越成就的學者。他擁有英國研究與創新局（UKRI）未來領袖獎學金，專注於自動化城市交通監控與控制的人工智慧研究。他是ACM的高級會員及英國人工智慧的傑出演講者。他是哈德斯菲爾德大學的人工智慧教授，領導自主智能系統研究中心及城市交通控制的人工智慧研究團隊，同時也是意大利熱那亞大學的客座教授。瓦拉提教授在可持續交通的人工智慧方法和技術的實際應用方面擁有豐富的經驗，這從他在該領域的專利以及來自Innovate UK、UKRI、EPSRC、歐盟和業界的支持（總計超過200萬英鎊）可見一斑。他積極支持研究社群，指導和考核博士生（包括英國和歐盟的學生），組織高排名的會議，並在主要學術期刊中擔任編輯角色。
亞歷山德羅斯·尼基塔斯教授是哈德斯菲爾德商學院的智慧交通教授。他是哈德斯菲爾德未來移動實驗室的創始主任，也是學校行為研究中心的副主任。尼基塔斯教授是大學交通研究小組執行委員會的主席，該小組是英國和愛爾蘭交通研究和教學的首要學術論壇，擁有60所大學的參與。尼基塔斯教授在可持續和社會包容性移動、以及自動化、連接、替代燃料和共享交通等領域有廣泛的工作經驗。他是《交通與健康期刊》的副編輯，並且是《交通商業與管理研究期刊》和《交通政策案例研究期刊》的編輯委員會成員。他的研究已發表於90多篇期刊和會議論文中。他在Horizon 2020和FP7計畫中主導和/或成功參與了多個項目，並組織了幾個學術研討會和高端會議。早期的職業生涯中，尼基塔斯教授曾在瑞典查爾默斯科技大學擔任城市未來與交通的高級研究員。他還曾受邀擔任中國同濟大學和長安大學的訪問學者，以及歐盟聯合研究中心（Ispra, Italy）的訪問學者。在2011年至2014年間，他擔任希臘家鄉德拉馬的地方議會議員。
