Explainable Artificial Intelligence for Cyber Security / Studies in Computational Intelligence Bd.1025 (PDF)
Next Generation Artificial Intelligence
(Sprache: Englisch)
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...
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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.
Bibliographische Angaben
- 2022, 1st ed. 2022, 280 Seiten, Englisch
- Herausgegeben: Mohiuddin Ahmed, Sheikh Rabiul Islam, Adnan Anwar, Nour Moustafa, Al-Sakib Khan Pathan
- Verlag: Springer Nature Switzerland
- ISBN-10: 3030966305
- ISBN-13: 9783030966300
- Erscheinungsdatum: 18.04.2022
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 5.97 MB
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Sprache:
Englisch
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