Computational Intelligence for Cybersecurity Management and Applications

As cyberattacks continue to grow in complexity and number, computational intelligence is helping under-resourced security analysts stay one step ahead of threats. Drawing on threat intelligence from millions of studies, blogs, and news articles, computational intelligence techniques such as machine learning and automatic natural language processing quickly provide the means to identify real threats and dramatically reduce response times.

Computational Intelligence for Cybersecurity Management and Applications collects and reports on recent high-quality research addressing different cybersecurity challenges. It:

• Explore the newest developments in the use of computational intelligence and AI for cybersecurity applications;
• Provide several case studies related to computational intelligence techniques for cybersecurity in a wide range of applications (Smart Healthcare, Blockchain, Cyber-Physical System, etc.);
• Integrate theoretical and practical aspects of computational intelligence for cybersecurity so that any reader, from novice to expert, may understand the book's explanations of key topics.

The book offers comprehensive coverage of the essential topics, including:

• Machine Learning and Deep Learning for cybersecurity
• Blockchain for cybersecurity and privacy
• Security engineering for Cyber-physical systems
• AI and Data Analytics techniques for cybersecurity in smart systems
• Trust in digital systems

This book discusses the current state of the art and practical solutions for the following cybersecurity and privacy issues using artificial intelligence techniques and cutting-edge technology. Readers interested in learning more about computational intelligence techniques for cybersecurity applications and management will find this book invaluable. They will get insight into potential avenues for future study on these topics and be able to prioritize their efforts better.

隨著網絡攻擊在複雜性和數量上持續增長，計算智能正幫助資源有限的安全分析師在威脅面前保持一步之遙。利用來自數百萬份研究、博客和新聞文章的威脅情報，計算智能技術如機器學習和自動自然語言處理迅速提供了識別真實威脅並大幅減少反應時間的手段。

《計算智能在網絡安全管理和應用中的應用》收集並報告了最近高質量的研究，解決了不同的網絡安全挑戰。它：

- 探索了計算智能和人工智能在網絡安全應用中的最新發展；
- 提供了幾個與計算智能技術在各種應用中（智慧醫療、區塊鏈、物聯網等）的網絡安全相關的案例研究；
- 整合了計算智能在網絡安全中的理論和實踐方面，使任何讀者，無論是初學者還是專家，都能理解本書對關鍵主題的解釋。

本書全面涵蓋了以下重要主題：

- 機器學習和深度學習在網絡安全中的應用；
- 區塊鏈在網絡安全和隱私方面的應用；
- 網絡物理系統的安全工程；
- 人工智能和數據分析技術在智慧系統網絡安全中的應用；
- 數字系統的信任問題。

本書討論了使用人工智能技術和尖端技術解決當前網絡安全和隱私問題的最新現狀和實際解決方案。對於想要了解計算智能技術在網絡安全應用和管理方面的讀者來說，本書將是一本寶貴的資源。他們將獲得有關這些主題未來研究的潛在途徑的見解，並能更好地優先考慮自己的努力。

Yassine Maleh (http: //orcid.org/0000-0003-4704-5364) is a PhD of the University Hassan 1st in Morocco in the field of Internet of Things Security and privacy, since 2013. He is Senior Member of IEEE, Member of the International Association of Engineers IAENG and The Machine Intelligence Research Labs. Dr Maleh has made contributions in the fields of information security and privacy, Internet of Things Security, Wireless and Constrained Networks Security. His research interests include Information Security and Privacy, Internet of Things, Networks Security, Information system and IT Governance. He has published over than 50 papers (Book chapters, international journals and conferences/workshops), and 4 edited books and 1 authored book. He is the editor in chief of the International Journal of Smart Security Technologies (IJSST). He serves as an Associate Editor for IEEE Access (2019 Impact Factor 4.098), the International Journal of Digital Crime and Forensics (IJDCF) and the International Journal of Information Security and Privacy (IJISP). He was also a Guest Editor of a special issue on Recent Advances on Cyber Security and Privacy for Cloud-of-Things of the International Journal of Digital Crime and Forensics (IJDCF), Volume 10, Issue 3, July-September 2019. He has served and continues to serve on executive and technical program committees and as a reviewer of numerous international conference and journals such as Elsevier Ad Hoc Networks, IEEE Network Magazine, IEEE Sensor Journal, ICT Express, and Springer Cluster Computing. He was the Publicity chair of BCCA 2019 and the General Chair of the MLBDACP 19 symposium.
Mamoun Alazab (https: //orcid.org/0000-0002-1928-3704) is the Associate Professor in the College of Engineering, IT and Environment at Charles Darwin University, Australia. He received his Ph.D. degree is in Computer Science from the Federation University of Australia, School of Science, Information Technology and Engineering. He is a cyber security researcher and practitioner with industry and academic experience. Dr Alazab's research is multidisciplinary that focuses on cyber security and digital forensics of computer systems including current and emerging issues in the cyber environment like cyber-physical systems and the internet of things, by taking into consideration the unique challenges present in these environments, with a focus on cybercrime detection and prevention. He looks into the intersection use of machine learning as an essential tool for cybersecurity, for example, for detecting attacks, analyzing malicious code or uncovering vulnerabilities in software. He has more than 100 research papers. He is the recipient of short fellowship from Japan Society for the Promotion of Science (JSPS) based on his nomination from the Australian Academy of Science. He delivered many invited and keynote speeches, 27 events in 2019 alone. He convened and chaired more than 50 conferences and workshops. He is the founding chair of the IEEE Northern Territory Subsection: (Feb 2019 - current). He is a Senior Member of the IEEE, Cybersecurity Academic Ambassador for Oman's Information Technology Authority (ITA), Member of the IEEE Computer Society's Technical Committee on Security and Privacy (TCSP) and has worked closely with government and industry on many projects, including IBM, Trend Micro, the Australian Federal Police (AFP), the Australian Communications and Media Authority (ACMA), Westpac, UNODC, and the Attorney General's Department.

Soufyane Mounir is Associate Professor in the National School of Applied Sciences of Sultan Moulay Slimane Slimane, Beni Mellal, Morocco, since 2014. He got his PhD in Electronics and Telecommunication, from University Hassan 1st, Morocco. His research is multidisciplinary that focuses on Telecommunications, VoIP, signal processing, embedded systems and cyber security. He is an active member of LaSTI Laboratory, ENSA Khouribga.

Yassine Maleh（http://orcid.org/0000-0003-4704-5364）自2013年起在摩洛哥哈桑一世大學攻讀博士學位，專攻物聯網安全和隱私領域。他是IEEE的高級會員，國際工程師協會IAENG和機器智能研究實驗室的成員。Maleh博士在信息安全和隱私、物聯網安全、無線和受限網絡安全等領域做出了貢獻。他的研究興趣包括信息安全和隱私、物聯網、網絡安全、信息系統和IT治理。他發表了50多篇論文（包括專書章節、國際期刊和會議/研討會），並編輯了4本專書和1本著作。他是《國際智能安全技術期刊》（IJSST）的主編，並擔任《IEEE Access》（2019年影響因子4.098）、《國際數字犯罪和法醫學期刊》（IJDCF）和《國際信息安全和隱私期刊》（IJISP）的副編輯。他還擔任過多個國際會議和期刊的執行和技術程序委員會成員，並擔任評審人，如愛思唯爾的《Ad Hoc Networks》、IEEE的《Network Magazine》、《Sensor Journal》、《ICT Express》和Springer的《Cluster Computing》。他曾擔任BCCA 2019的宣傳主席和MLBDACP 19研討會的總主席。

Mamoun Alazab（https://orcid.org/0000-0002-1928-3704）是澳大利亞查爾斯達爾文大學工程、IT和環境學院的副教授。他在澳大利亞聯邦大學科學、信息技術和工程學院獲得計算機科學博士學位。他是一位具有行業和學術經驗的網絡安全研究人員和從業者。Alazab博士的研究是多學科的，重點是計算機系統的網絡安全和數字取證，包括當前和新興的網絡環境中的問題，如物聯網和物理系統，並考慮到這些環境中存在的獨特挑戰，重點是網絡犯罪的檢測和預防。他研究機器學習在網絡安全中的應用，例如用於檢測攻擊、分析惡意代碼或發現軟件漏洞。他發表了100多篇研究論文。他獲得了日本學術振興會（JSPS）的短期研究獎學金，該獎學金是根據澳大利亞科學院提名而獲得的。他在2019年單獨參加了27場邀請和主題演講。他組織和主持了50多個會議和研討會。他是IEEE北領地分會的創始主席（2019年至今）。他是IEEE的高級會員，也是阿曼信息技術局的網絡安全學術大使，是IEEE計算機學會安全和隱私技術委員會（TCSP）的成員，並與政府和行業密切合作，包括IBM、趨勢科技、澳大利亞聯邦警察（AFP）、澳大利亞通信和媒體管理局（ACMA）、Westpac、聯合國毒品和犯罪問題辦公室（UNODC）和澳大利亞總檢察長辦公室。

Soufyane Mounir是摩洛哥蘇丹穆萊·斯利曼·斯利曼應用科學國家學院的副教授，自2014年起在該校任職。他在摩洛哥哈桑一世大學獲得電子和通信博士學位。他的研究是多學科的，重點是電信、VoIP、信號處理、嵌入式系統和網絡安全。他是LaSTI實驗室、ENSA Khouribga的活躍成員。