Explainable artificial intelligence next (8 Ergebnisse)
Sprache: Englisch
Verlag: Springer 2023
Serie: Studies in Computational Intelligence, Buch 518 von 538. Buch 518 von 538 - Studies in Computational Intelligence
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Sprache: Englisch
Verlag: Springer 2022
Serie: Studies in Computational Intelligence, Buch 518 von 538. Buch 518 von 538 - Studies in Computational Intelligence
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Explainable Artificial Intelligence (XAI) for Next Generation Cybersecurity: Concepts, Challenges and Applications
Ullah, Farhan (Editor)/ Srivastava, Gautam (Editor)/ Ahmad, Awais (Editor)
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Weitere BilderSprache: Englisch
Verlag: Springer 2023
Serie: Studies in Computational Intelligence, Buch 518 von 538. Buch 518 von 538 - Studies in Computational Intelligence
- Softcover
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Taschenbuch. Zustand: Neu. Explainable Artificial Intelligence for Cyber Security | Next Generation Artificial Intelligence | Mohiuddin Ahmed (u. a.) | Taschenbuch | xii | Englisch | 2023 | Springer | EAN 9783030966324 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]har…tmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer International Publishing 2022
Serie: Studies in Computational Intelligence, Buch 518 von 538. Buch 518 von 538 - Studies in Computational Intelligence
- Hardcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents that explainable artificial intelligence (XAI) is going to replace the traditional artificial, machine learning, deep learning algorithms which work as a black box as of today. To understand the algorithms better and interpret the complex… networks of these algorithms, XAI plays a vital role. In last few decades, we have embraced AI in our daily life to solve a plethora of problems, one of the notable problems is cyber security. In coming years, the traditional AI algorithms are not able to address the zero-day cyber attacks, and hence, to capitalize on the AI algorithms, it is absolutely important to focus more on XAI. Hence, this book serves as an excellent reference for those who are working in cyber security and artificial intelligence.
Sprache: Englisch
Verlag: Springer 2023
Serie: Studies in Computational Intelligence, Buch 518 von 538. Buch 518 von 538 - Studies in Computational Intelligence
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents that explainable artificial intelligence (XAI) is going to replace the traditional artificial, machine learning, deep learning algorithms which work as a black box as of today. To understand the algorithms better and interpret the…complex networks of these algorithms, XAI plays a vital role. In last few decades, we have embraced AI in our daily life to solve a plethora of problems, one of the notable problems is cyber security. In coming years, the traditional AI algorithms are not able to address the zero-day cyber attacks, and hence, to capitalize on the AI algorithms, it is absolutely important to focus more on XAI. Hence, this book serves as an excellent reference for those who are working in cyber security and artificial intelligence.
Sprache: Englisch
Verlag: Springer-Nature New York Inc 2023
Serie: Studies in Computational Intelligence, Buch 518 von 538. Buch 518 von 538 - Studies in Computational Intelligence
- Softcover
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Paperback. Zustand: Brand New. 292 pages. 9.25x6.10x0.62 inches. In Stock.
Sprache: Englisch
Verlag: Institution Of Engineering & Technology Nov 2025 2025
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Buch. Zustand: Neu. Neuware - As AI technologies progress and influence more facets of our lives, the requirement for openness and interpretability becomes increasingly important. Explainable AI (XAI) has the potential to be a paradigm shift in the next generation of AI systems. XAI strives to make AI algorithms and methods unde…rstandable by tackling trust, bias, compliance, and accountability challenges. XAI improves model disclosure, produces intrinsically interpretable deep learning approaches, offers real-time rationales, and promotes legitimate AI practice. These advances assist in the development of a more ethically sound AI ecosystem. As the IoT evolves and supply chains become more complex, novel avenues for attack arise. The ever-changing threat landscape includes powerful adversaries such as malicious actors and hackers who are always refining their strategies, and demand ongoing monitoring and adaptive responses. Cybersecurity helps safeguard data, identify fraud, protect vital infrastructure, and ensure confidentiality. Considering the dynamic nature of the cybersecurity battlefront, a holistic approach must include pre-emptive threat intelligence, staff training, effective security tools, regular upgrades, and global collaboration. Explainable AI (XAI) explains security alerts, reduces false positives and enables faster incident response. The objective of this book is to explore how the integration of XAI-based cybersecurity algorithms and methods support threat detection and decision-making by preserving privacy and trust, ensuring interpretability and accountability, and optimizing computational and communication costs. This book will be a useful reference for computing and security researchers, scientists, and IT professionals in academia and industry, who are developing and designing innovative cyber threat and vulnerability detection systems and solutions, as well as advanced students and lecturers to better understand AI and XAI algorithms for cybersecurity applications.
