9783031915239 - understanding ai in cybersecurity and secure ai: challenges, strategies and trends (progress in is) von sharma, dilli prasad; habibi lashkari, arash; firoozjaei, mahdi daghmehchi; mahdavifar, samaneh; xiong, pulei (3 Ergebnisse)
- Hardcover
Anbieter: SKULIMA Wiss. Versandbuchhandlung, Westhofen, , DeutschlandSKULIMA Wiss. Versandbuchhandlung
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EUR 54,00
EUR 40,00 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Zustand: Wie Neu. Zustandsbeschreibung: leichte Lagerspuren/minor shelfwear. Challenges, Strategies and Trends. By Dilli Prasad Sharma, Arash Habibi Lashkari, Mahdi Daghmehchi Firoozjaei, Samaneh Mahdavifar and Pulei Xiong. This book presents an overview of the emerging topics in Artificial Intelligence (AI) and cybersecurity an…d addresses the latest AI models that could be potentially applied to a range of cybersecurity areas. Furthermore, it provides different techniques of how to make the AI algorithms secure from adversarial attacks. The book presents the cyber threat landscape and explains the various spectrums of AI and the applications and limitations of AI in cybersecurity. Moreover, it explores the applications and limitations of secure AI. The authors discuss the three categories of machine learning (ML) models and reviews cutting-edge recent Deep Learning (DL) models. Furthermore, the book provides a general AI framework in security as well as different modules of the framework; similarly, chapter four proposes a general framework for secure AI. It explains different aspects of network security including malware and attacks. The book also includes a comprehensive study of various scopes of application security; categorised into three groups of smartphone, web application, and desktop application and delves into the concepts of cloud security. The authors discuss state-of-the-art Internet of Things (IoT) security and describe various challenges of AI for cybersecurity, such as data diversity, model customising, explainability, and time complexity and includes some future work. They provide a comprehensive understanding of adversarial machine learning including the up-to-date adversarial attacks and defences. The book finishes off with a discussion of the challenges and future work in secure AI. XIV,250 Seiten mit 40 meist farbigen Abb., gebunden (Progress in IS/Springer Verlag 2025). Statt EUR 80,24. Gewicht: 558 g - Gebunden/Gebundene Ausgabe.
- Hardcover
Anbieter: Revaluation Books, Exeter, , Vereinigtes KönigreichRevaluation Books
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EUR 127,51
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Hardcover. Zustand: Brand New. 264 pages. 9.25x6.10x9.21 inches. In Stock.
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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EUR 85,59
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents an overview of the emerging topics in Artificial Intelligence (AI) and cybersecurity and addresses the latest AI models that could be potentially applied to a range of cybersecurity areas. Furthermore, it provides different techniques of…how to make the AI algorithms secure from adversarial attacks. The book presents the cyber threat landscape and explains the various spectrums of AI and the applications and limitations of AI in cybersecurity. Moreover, it explores the applications and limitations of secure AI. The authors discuss the three categories of machine learning (ML) models and reviews cutting-edge recent Deep Learning (DL) models. Furthermore, the book provides a general AI framework in security as well as different modules of the framework; similarly, chapter four proposes a general framework for secure AI. It explains different aspects of network security including malware and attacks.The book also includes a comprehensive study of various scopes of application security; categorised into three groups of smartphone, web application, and desktop application and delves into the concepts of cloud security. The authors discuss state-of-the-art Internet of Things (IoT) security and describe various challenges of AI for cybersecurity, such as data diversity, model customising, explainability, and time complexity and includes some future work. They provide a comprehensive understanding of adversarial machine learning including the up-to-date adversarial attacks and defences. The book finishes off with a discussion of the challenges and future work in secure AI.Overall, this book covers applications of AI models to various fields of cybersecurity and appeals not only to an scholarly audience but also to professionals wanting to learn more about the new developments in these areas.
