相關主題
商品描述
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.
The book collects and reports on recent high-quality research addressing different cybersecurity challenges. It:
- explores the newest developments in the use of computational intelligence and AI for cybersecurity applications
- provides several case studies related to computational intelligence techniques for cybersecurity in a wide range of applications (smart health care, blockchain, cyber-physical system, etc.)
- integrates 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.
It 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.
商品描述(中文翻譯)
隨著網路攻擊的複雜性和數量不斷增加，計算智能正在幫助資源不足的安全分析師在威脅面前保持領先一步。透過數百萬篇研究、部落格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識別真實威脅的手段，並顯著縮短反應時間。
本書收集並報告了針對不同網路安全挑戰的近期高品質研究。它：
- 探討計算智能和人工智慧在網路安全應用中的最新發展
- 提供多個與計算智能技術相關的案例研究，涵蓋廣泛的應用領域（智慧醫療、區塊鏈、網路物理系統等）
- 整合計算智能在網路安全中的理論與實務面向，使任何讀者，無論是新手還是專家，都能理解書中對關鍵主題的解釋。
本書全面涵蓋了以下重要主題：
- 用於網路安全的機器學習和深度學習
- 用於網路安全和隱私的區塊鏈
- 網路物理系統的安全工程
- 用於智慧系統的人工智慧和數據分析技術
- 數位系統中的信任
本書討論了使用人工智慧技術和尖端技術解決當前網路安全和隱私問題的最新狀態和實用解決方案。對於希望深入了解計算智能技術在網路安全應用和管理中的讀者來說，本書將是無價的資源。他們將獲得對未來研究這些主題的潛在方向的洞察，並能更好地優先考量他們的努力。
作者簡介
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.
作者簡介(中文翻譯)
Yassine Maleh (http://orcid.org/0000-0003-4704-5364) 是摩洛哥哈桑一世大學的博士，專攻物聯網安全與隱私，自2013年以來，他是IEEE的資深會員，也是國際工程師協會IAENG和機器智能研究實驗室的成員。Maleh博士在資訊安全與隱私、物聯網安全、無線及受限網路安全等領域做出了貢獻。他的研究興趣包括資訊安全與隱私、物聯網、網路安全、資訊系統及IT治理。他已發表超過50篇論文（書籍章節、國際期刊及會議/研討會），並編輯了4本書和1本著作。他是《國際智慧安全技術期刊》（IJSST）的主編，並擔任《IEEE Access》（2019年影響因子4.098）、《國際數位犯罪與取證期刊》（IJDCF）及《國際資訊安全與隱私期刊》（IJISP）的副編輯。他還曾擔任《國際數位犯罪與取證期刊》（IJDCF）第10卷第3期的特刊客座編輯，主題為雲端物聯網的網路安全與隱私的最新進展，該期刊於2019年7月至9月出版。他曾在多個國際會議和期刊的執行及技術程序委員會中服務並持續擔任審稿人，包括Elsevier的Ad Hoc Networks、IEEE Network Magazine、IEEE Sensor Journal、ICT Express和Springer的Cluster Computing。他是BCCA 2019的宣傳主席及MLBDACP 19研討會的總主席。
Mamoun Alazab (https://orcid.org/0000-0002-1928-3704) 是澳洲查爾斯達爾文大學工程、IT與環境學院的副教授。他的博士學位來自澳洲聯邦大學的科學、資訊技術與工程學院，專攻計算機科學。他是一位擁有產業及學術經驗的網路安全研究者與實踐者。Alazab博士的研究是多學科的，專注於計算機系統的網路安全與數位取證，包括網路環境中的當前及新興議題，如網路物理系統和物聯網，並考慮到這些環境中存在的獨特挑戰，重點在於網路犯罪的檢測與預防。他研究機器學習在網路安全中的交叉應用，作為檢測攻擊、分析惡意代碼或揭露軟體漏洞的重要工具。他已發表超過100篇研究論文。他是日本科學促進會（JSPS）短期獎學金的獲得者，該獎學金是基於他在澳洲科學院的提名。他在2019年獨自發表了27場受邀及主題演講，並主持了超過50場會議和研討會。他是IEEE北領地分會的創始主席（2019年2月至今），也是IEEE的資深會員，擔任阿曼資訊技術管理局（ITA）的網路安全學術大使，IEEE計算機學會安全與隱私技術委員會（TCSP）的成員，並與政府及產業在多個項目上密切合作，包括IBM、趨勢科技、澳洲聯邦警察（AFP）、澳洲通訊與媒體管理局（ACMA）、西太平洋銀行、聯合國毒品和犯罪辦公室（UNODC）及檢察總長部。
Soufyane Mounir 自2014年以來是摩洛哥貝尼梅拉爾的蘇丹穆萊斯利曼應用科學國立學校的副教授。他在摩洛哥哈桑一世大學獲得電子與電信的博士學位。他的研究是多學科的，專注於電信、VoIP、信號處理、嵌入式系統及網路安全。他是LaSTI實驗室的活躍成員，隸屬於ENSA Khouribga。
