商品描述
The rapid growth and reliance on cyber systems have permeated our society, government, and military which is demonstrated in this book. The authors discuss how AI-powered cyber systems are designed to protect against cyber threats and ensure the security and reliability of digital systems using artificial intelligence (AI) technologies. As AI becomes more integrated into various aspects of our lives, the need for reliable and trustworthy AI systems becomes increasingly important. This book is an introduction to all of the above-mentioned areas in the context of AI Embedded Assurance for Cyber Systems.
This book has three themes. First, the AI/ML for digital forensics theme focuses on developing AI and ML powered forensic tools, techniques, software, and hardware. Second, the AI/ML for cyber physical system theme describes that AI/ML plays an enabling role to boost the development of cyber physical systems (CPS), especially in strengthening the security and privacy of CPS. Third, the AI/ML for cyber analysis theme focuses on using AI/ML to analyze tons of data in a timely manner and identify many complex threat patterns.
This book is designed for undergraduates, graduate students in computer science and researchers in an interdisciplinary area of cyber forensics and AI embedded security applications. It is also useful for practitioners who would like to adopt AIs to solve cyber security problems.
商品描述(中文翻譯)
這本書展示了網路系統的快速增長和依賴如何滲透到我們的社會、政府和軍事中。作者討論了如何設計以人工智慧（AI）技術為基礎的網路系統，以保護免受網路威脅，並確保數位系統的安全性和可靠性。隨著AI在我們生活的各個方面越來越多地被整合，對於可靠和可信的AI系統的需求變得愈加重要。本書是針對上述所有領域在AI嵌入式保證（Embedded Assurance）於網路系統背景下的介紹。
本書有三個主題。首先，AI/ML在數位取證中的主題專注於開發以AI和機器學習（ML）為基礎的取證工具、技術、軟體和硬體。其次，AI/ML在網路物理系統中的主題描述了AI/ML在促進網路物理系統（CPS）發展中的啟用角色，特別是在加強CPS的安全性和隱私方面。第三，AI/ML在網路分析中的主題專注於使用AI/ML及時分析大量數據並識別許多複雜的威脅模式。
本書旨在為計算機科學的本科生、研究生以及從事網路取證和AI嵌入式安全應用的跨學科研究者提供參考。對於希望採用AI解決網路安全問題的實務工作者來說，本書也非常有用。
作者簡介
Dr. Cliff Wang graduated from NCSU with a PhD in computer engineering in 1996. He has been carrying out research in the area of computer vision, medical imaging, high speed networks, and most recently information security. Dr. Wang currently serves as the program director at National Science Foundation. He is a fellow of IEEE and AAAS.Dr. S.S. Iyengar is currently the Distinguished University Professor, Founding Director of the Discovery Lab and Director of the US Army funded Center of Excellence in Digital Forensics at Florida International University, Miami. He is also the Distinguished Chaired Professor (Hon.) at National Forensics Sciences University, Gandhinagar, India. He has been involved with research and education in high-performance intelligent systems, data science and machine learning algorithms, sensor fusion, data mining, and intelligent systems. Since receiving his Ph.D. degree in 1974 from MSU, USA, he has directed over 65 Ph.D. students, 100 Master's students, and many undergraduate students who are now faculty at major universities worldwide or scientists or engineers at national labs/industries around the world. He has published more than 900 research papers and has authored/co-authored and edited 32 books. His books are published by MIT Press, John Wiley and Sons, CRC Press, Prentice Hall, Springer Verlag, IEEE Computer Society Press, etc. More recently in Spring 2021, Dr. Iyengar was awarded $2.25 M in funding for setting up a Digital Forensics Center of Excellence over a period of 5 years (2021-2026). His path-breaking discovery known as Brooks-Iyengar algorithm discovered in 1996 is a milestone in his career. This discovery has led to a breakthrough in the use of sensors in various applications across the globe. By adopting this algorithm, it was possible to use a network of sensors that would give out precise outputs, though few of the sensors receive wrong inputs or faulty sensors. This algorithm is relevant even today and has received the prestigious "Test of Time" award for its contribution over the decade by IEEE Congress in the year 2019. Dr. Iyengar has received IEEE Fellow award, ACM Fellow, AAAS Fellow, Fellow of Artificial Intelligence AAIA, Fellow, National Academy of Inventors (NAI), Fellow of Institution of Engineers (India) among many awards he has received in his career. He also received IEEE Technical Achievement Award in 1998. Dr. Iyengar is awarded the Lifetime achievement award by International Society of Agile Manufacturing at IIT (BHU) in 2012. He received the Lifetime Achievement award from IEEE High Performance Computing in 2019. Dr. Iyengar was also a Fulbright Distinguished Scholar and has received several honorary PhDs from around the world. He has been awarded the Lifetime Achievement Award for his contribution to the field of Digital Forensics on November 8, 2022, during the 7th INTERPOL DIGITAL FORENSICS EXPERT GROUP (DFEG) MEETING at National Forensics Sciences University, Gandhinagar, Gujarat, India.Dr. Kun Sun is a Professor in the Department of Information Sciences and Technology at George Mason University. He is also the Associate Director of the Center for Secure Information Systems (CSIS) and the Director of Sun Security Laboratory. He received his Ph.D. in Computer Science from North Carolina State University. His research focuses on systems and network security. Dr. Sun has more than 15 years of working experience in both industry and academia, publishing over 120 conference and journal papers, and two papers won the Best Paper Award. His current research focuses on software security, network security, trustworthy computing, moving target defense, AI security, and cloud security. He won the Presidential Award for Faculty Excellence in Research from George Mason University in 2022.
作者簡介(中文翻譯)
王克里夫博士於1996年從北卡羅來納州立大學（NCSU）獲得計算機工程博士學位。他一直在計算機視覺、醫學影像、高速網絡以及最近的信息安全領域進行研究。王博士目前擔任國家科學基金會的計劃主任。他是IEEE和AAAS的會士。S.S. 艾揚格博士目前是佛羅里達國際大學邁阿密的傑出大學教授、發現實驗室創始主任以及美國陸軍資助的數位取證卓越中心主任。他同時也是印度甘地納加爾國立法醫科學大學的傑出名譽教授。他參與了高效能智能系統、數據科學和機器學習算法、傳感器融合、數據挖掘和智能系統的研究與教育。自1974年在美國密西根州立大學（MSU）獲得博士學位以來，他已指導超過65名博士生、100名碩士生，以及許多本科生，這些學生如今在全球主要大學擔任教職或在國家實驗室/產業中擔任科學家或工程師。他已發表超過900篇研究論文，並撰寫/合著及編輯32本書籍。他的書籍由MIT Press、John Wiley and Sons、CRC Press、Prentice Hall、Springer Verlag、IEEE Computer Society Press等出版。最近在2021年春季，艾揚格博士獲得225萬美元的資金，用於在五年內（2021-2026）建立數位取證卓越中心。他於1996年發現的開創性成果——布魯克斯-艾揚格算法，是他職業生涯中的一個里程碑。這一發現促成了全球各種應用中傳感器使用的突破。通過採用這一算法，儘管少數傳感器接收到錯誤輸入或故障傳感器，仍然可以使用一個傳感器網絡提供精確的輸出。這一算法至今仍然相關，並於2019年獲得IEEE Congress頒發的「時間考驗獎」，以表彰其十年來的貢獻。艾揚格博士獲得了IEEE Fellow獎、ACM Fellow、AAAS Fellow、人工智慧協會（AAIA）會士、國家發明家學院（NAI）會士、印度工程師協會會士等多項獎項。他還於1998年獲得IEEE技術成就獎。艾揚格博士於2012年在印度理工學院（BHU）獲得國際敏捷製造學會頒發的終身成就獎。他於2019年獲得IEEE高效能計算的終身成就獎。艾揚格博士曾是富布賴特傑出學者，並獲得來自世界各地的多個榮譽博士學位。他於2022年11月8日在印度甘地納加爾國立法醫科學大學舉行的第七屆國際刑警數位取證專家小組（DFEG）會議上，因其對數位取證領域的貢獻而獲得終身成就獎。孫琨博士是喬治梅森大學資訊科學與技術系的教授。他同時擔任安全資訊系統中心（CSIS）的副主任及孫安全實驗室的主任。他在北卡羅來納州立大學獲得計算機科學博士學位。他的研究專注於系統和網絡安全。孫博士在產業和學術界擁有超過15年的工作經驗，發表了超過120篇會議和期刊論文，其中兩篇獲得最佳論文獎。他目前的研究重點包括軟體安全、網絡安全、可信計算、移動目標防禦、人工智慧安全和雲安全。他於2022年獲得喬治梅森大學的總統研究卓越教職員獎。
