AI Embedded Assurance for Cyber Systems

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.

快速增長和對網絡系統的依賴已經滲透到我們的社會、政府和軍事中，這本書展示了這一點。作者們討論了如何利用人工智能（AI）技術設計AI驅動的網絡系統，以保護免受網絡威脅的侵害，確保數字系統的安全性和可靠性。隨著人工智能在我們生活的各個方面越來越融入，可靠和值得信賴的人工智能系統的需求變得越來越重要。本書是在AI嵌入式保證網絡系統的背景下介紹了上述所有領域的入門書。

本書有三個主題。首先，AI/ML用於數字取證的主題專注於開發AI和ML驅動的取證工具、技術、軟件和硬件。其次，AI/ML用於網絡物理系統的主題描述了AI/ML在促進網絡物理系統（CPS）的發展中發揮的推動作用，特別是在加強CPS的安全性和隱私方面。第三，AI/ML用於網絡分析的主題專注於使用AI/ML及時分析大量數據，並識別出許多複雜的威脅模式。

本書專為計算機科學本科生、研究生和跨學科領域的網絡取證和AI嵌入式安全應用的研究人員設計。對於希望採用人工智能來解決網絡安全問題的從業人員也很有用。

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.

王博士於1996年在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。王博士目前擔任美國國家科學基金會的項目主管。他是IEEE和AAAS的會士。

Iyengar博士目前是佛羅里達國際大學的傑出大學教授，發現實驗室的創始主任，以及美國陸軍資助的數字取證卓越中心的主任。他還是印度甘地納加爾國家取證科學大學的傑出講座教授。他一直從事高性能智能系統、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和教育。自從1974年從美國密西根州立大學獲得博士學位以來，他指導了超過65名博士生、100名碩士生和許多現在在世界各地的主要大學擔任教職、科學家或工程師的本科生。他發表了900多篇研究論文，並編寫/合著和編輯了32本書。他的書由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，Iyengar博士獲得了225萬美元的資金，用於在5年（2021-2026年）的時間內建立一個數字取證卓越中心。他在1996年發現的開創性發現，即Brooks-Iyengar算法，是他職業生涯的里程碑。這一發現在全球各種應用中的傳感器使用方面取得了突破。通過採用這種算法，即使一些傳感器接收到錯誤的輸入或故障傳感器，也能夠提供精確的輸出。這個算法即使在今天仍然具有重要意義，並且在2019年被IEEE大會授予了“時間考驗”獎。Iyengar博士獲得了IEEE會士獎、ACM會士、AAAS會士、人工智能AAIA會士、國家發明家學會會士、印度工程師學會會士等多個獎項。他還於1998年獲得了IEEE技術成就獎。2012年，Iyengar博士獲得了國際敏捷製造學會在印度理工學院（BHU）頒發的終身成就獎。2019年，他獲得了IEEE高性能計算的終身成就獎。Iyengar博士還是一位富布萊特傑出學者，並獲得了來自世界各地的多個榮譽博士學位。他於2022年11月8日在印度古吉拉特邦甘地納加爾國家取證科學大學的第7屆國際刑警數字取證專家組（DFEG）會議上獲得了數字取證領域的終身成就獎。

孫博士是喬治梅森大學信息科學與技術系的教授。他還是安全信息系統中心（CSIS）的副主任和Sun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。他的研究重點是系統和網絡安全。孫博士在工業界和學術界擁有超過15年的工作經驗，發表了120多篇會議和期刊論文，其中兩篇論文獲得了最佳論文獎。他目前的研究重點是軟件安全、網絡安全、可信計算、移動目標防禦、人工智能安全和雲安全。他於2022年獲得了喬治梅森大學的總統獎，以表彰他在研究方面的卓越成就。