Explainable Artificial Intelligence for Cyber Security : Next Generation Artificial Intelligence

Ahmed, Mohiuddin (EDT); Islam, Sheikh Rabiul (EDT); Anwar, Adnan (EDT); Moustafa, Nour (EDT); Pathan, Al-Sakib Khan (EDT)

ISBN 10: 3030966291 / ISBN 13: 9783030966294

Edité par Springer, 2022

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Détails bibliographiques

• Titre: Explainable Artificial Intelligence for Cyber Security : Next Generation Artificial Intelligence
• Éditeur: Springer
• Date de parution: 2022
• Langue: anglais
• ISBN à 10 chiffres: 3030966291
• ISBN à 13 chiffres: 9783030966294
• Reliure: Couverture rigide
• État de l'article: As New

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Synopsis

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.