Artificial Intelligence for Cybersecurity
暫譯: 人工智慧在網路安全中的應用

本書探討與網路安全領域主要挑戰相關的機器學習、深度學習和人工智慧的新穎應用。所提供的研究不僅僅是將人工智慧技術應用於數據集，而是深入探討在深度學習與網路安全之間交界處出現的更深層次問題。

本書還提供了對於在安全領域中出現的困難「如何」和「為什麼」問題的見解。例如，本書包含了涵蓋「可解釋的人工智慧」、「對抗學習」、「韌性人工智慧」以及各種相關主題的章節。內容不僅限於任何特定的網路安全子主題，章節觸及的網路安全領域範圍廣泛，從惡意軟體到生物識別技術等。

在網路安全（相當於資訊安全）或人工智慧（包括深度學習、機器學習、大數據及相關領域）領域工作和學習的研究人員及高級學生，將希望購買本書作為參考。從事這些領域的實務工作者也會對購買本書感興趣。

Mark Stamp has extensive experience in information security and machine learning, having worked in these fields within academic, industrial, and government environments. After completing his PhD research in cryptography at Texas Tech University, he spent more than seven years as a cryptanalyst with the United States National Security Agency (NSA), followed by two years developing a security product for a Silicon Valley start-up company. Since early in the present century, Dr. Stamp has been employed as a Professor in the Department of Computer Science at San Jose State University, where he teaches courses in machine learning and information security. To date, he has published more than 150 research articles, most of which deal with problems at the interface between machine learning and information security. Dr. Stamp served as a co-editor of the Handbook of Information and Communication Security (Springer, 2010) and Malware Analysis using Artificial Intelligence and Deep Learning (Springer 2020), and he is the author of multiple textbooks, including Information Security: Principles and Practice (Wiley, 3rd edition, 2021) and Introduction to Machine Learning with Applications in Information Security (Chapman and Hall/CRC, 2nd edition, 2022).

Corrado Aaron Visaggio is an associate professor at the Department of Engineering of the University of Sannio, where he teaches "Security of Networks and Software Systems" at the MSc in Computer Engineering. Currently he is also Chief Scientist Officer at Defence Tech, a company operating in Cybersecurity, Aerospace and Military Engineering. He obtained the MSc in Electronic Engineering (2001) from Politecnico di Bari, and the PhD in Information Engineering (2005) from University of Sannio. His main research interests are: malware analysis, data protection, data protection, threat intelligence. He teaches in Master Programs of Cybersecurity of University of Rome "Tor Vergata", and the International School against organized crime organized by the Italian Ministry of Interior for the education of International Law Enforcement Agencies, and has been instructor at the Department of Intelligence, at the Italian Ministry of Interior. He is director of the Unisannio Chapter of the CINI Cybersecurity National Lab. He is in the Organizing Board of CINI Cybersecurity National Lab. He leads the Cybersecurity Lab at the Department of Engineering of University of Sannio. He is the scientific leader of several research projects in Cybersecurity, funded by Private and Public Organizations. He collaborates with several Universities (ETH Zurich, University of San Jose, University of Castilla-La-Mancha, University of Lugano, University College Dublin, University of Delft, Cochin University of Science & Technology and SCMS School of Engineering & Technology). He has authored more than one hundred scientific papers and he serves in the Editorial Boards of International journals and Program Committees of international Conferences. He is among the founders of the SER&Practice software house, and SLIMER software House.

Fabio Di Troia is an Assistant Professor in the Computer Science department at San Jose State University, where he teaches information security and machine learning courses. He completed his PhD in computer science at Kingston University, London, researching applications of machine learning in the field of cybersecurity. His areas of focus are malware detection, malware design, cryptology, biometrics, and access control. In collaboration with colleagues sharing similar academic background, he co-founded the Silicon Valley Cybersecurity Institute (SVCSI) in 2019, a non-profit organization that aims to increase awareness in the cybersecurity domain for high-school, undergraduate, and graduate students, with particular emphasis in the underrepresented community. Within this organization, he holds the role of program director in software security, and he is also the program committee chair for the Silicon Valley Cybersecurity Conference (SVCC).

Francesco Mercaldo received his master degree in computer engineering from the University of Sannio (Benevento, Italy), with a thesis in software testing. He obtained his Ph.D. in 2015 with a dissertation on malware analysis using machine learning techniques. The research areas of Francesco are software testing, verification, and validation, with the emphasis on the application of empirical methods. Currently, he is working as Researcher at the University of Molise (Italy). He has written almost seventy papers for international journals and conferences.

Mark Stamp 在資訊安全和機器學習方面擁有豐富的經驗，曾在學術界、工業界和政府機構工作。完成德州科技大學的密碼學博士研究後，他在美國國家安全局（NSA）擔任了超過七年的密碼分析師，隨後在一家矽谷初創公司開發安全產品兩年。自本世紀初以來，Stamp 博士在聖荷西州立大學的計算機科學系擔任教授，教授機器學習和資訊安全課程。迄今為止，他已發表超過150篇研究文章，其中大多數涉及機器學習與資訊安全之間的問題。Stamp 博士曾擔任《資訊與通信安全手冊》（Springer, 2010）和《使用人工智慧和深度學習的惡意軟體分析》（Springer, 2020）的共同編輯，並且是多本教科書的作者，包括《資訊安全：原則與實踐》（Wiley, 第3版, 2021）和《機器學習導論及其在資訊安全中的應用》（Chapman and Hall/CRC, 第2版, 2022）。

Corrado Aaron Visaggio 是桑尼奧大學工程系的副教授，教授計算機工程碩士課程中的「網絡與軟體系統安全」。目前，他也是防務科技公司的首席科學官，該公司專注於網絡安全、航空航天和軍事工程。他於2001年在巴里理工大學獲得電子工程碩士學位，並於2005年在桑尼奧大學獲得資訊工程博士學位。他的主要研究興趣包括：惡意軟體分析、數據保護、威脅情報。他在羅馬「托爾維爾加塔」大學的網絡安全碩士課程中授課，並參與由意大利內政部組織的國際反有組織犯罪學校，為國際執法機構提供教育，並曾在意大利內政部的情報部門擔任講師。他是 CINI 網絡安全國家實驗室的 Unisannio 分會主任，並在 CINI 網絡安全國家實驗室的組織委員會中任職。他領導桑尼奧大學工程系的網絡安全實驗室，並是多個由私營和公共機構資助的網絡安全研究項目的科學負責人。他與多所大學（如 ETH 蘇黎世、聖荷西大學、卡斯蒂利亞-拉曼查大學、盧加諾大學、都柏林大學、代爾夫特大學、科欽科技大學和 SCMS 工程與技術學院）合作。他已發表超過一百篇科學論文，並在國際期刊的編輯委員會和國際會議的程序委員會中任職。他是 SER&Practice 軟體公司和 SLIMER 軟體公司的創始人之一。

Fabio Di Troia 是聖荷西州立大學計算機科學系的助理教授，教授資訊安全和機器學習課程。他在倫敦金斯頓大學完成計算機科學博士學位，研究機器學習在網絡安全領域的應用。他的研究重點包括惡意軟體檢測、惡意軟體設計、密碼學、生物識別和存取控制。2019年，他與具有相似學術背景的同事共同創立了矽谷網絡安全研究所（SVCSI），這是一個非營利組織，旨在提高高中、本科和研究生對網絡安全領域的認識，特別強調對於弱勢社群的關注。在該組織中，他擔任軟體安全的項目主任，並且是矽谷網絡安全會議（SVCC）的程序委員會主席。

Francesco Mercaldo 在桑尼奧大學（意大利貝內文托）獲得計算機工程碩士學位，論文主題為軟體測試。他於2015年獲得博士學位，論文主題為使用機器學習技術的惡意軟體分析。Francesco 的研究領域包括軟體測試、驗證和驗證，重點在於實證方法的應用。目前，他在意大利莫利塞大學擔任研究員。他已為國際期刊和會議撰寫了近七十篇論文。