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Explainable Artificial Intelligence for Cyber Security: Next Generation Artificial Intelligence: Studies in Computational Intelligence, cartea 1025

Editat de Mohiuddin Ahmed, Sheikh Rabiul Islam, Adnan Anwar, Nour Moustafa, Al-Sakib Khan Pathan
en Limba Engleză Hardback – 19 apr 2022
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.
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Specificații

ISBN-13: 9783030966294
ISBN-10: 3030966291
Pagini: 280
Ilustrații: XII, 280 p. 88 illus., 80 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.61 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Cham, Switzerland

Cuprins

The Past, Present, and Prospective Future of XAI: A Comprehensive Review.- An Overview of Explainable Artificial Intelligence for Cyber Security.- Artificial Intelligence: Practical & Ethical Challenges.- Domain Knowledge-aided Explainable Artificial Intelligence.- Machine Learning based IDS for Cyberattack Classification.- Artificial Intelligence for Cyber Security: Performance Analysis of Network Intrusion Detection.- Leveraging Artificial Intelligence Capabilities for Real-Time Monitoring of Cybersecurity Threats.- Network Forensics in the Era of Artificial Intelligence.- Obfuscation-based Mechanisms in Location-based Privacy Protection.- Intelligent Radio Frequency Fingerprinting to Identify Malicious Tags in the Internet of Things.- Explainable Artificial Intelligence for Smart City Application: A Secure and Trusted Platform.- Explainable Artificial Intelligence in Sustainable Smart Healthcare.

Textul de pe ultima copertă

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.

Caracteristici

Serves as an excellent reference for those who are working in cyber security and artificial intelligence Presents recent research on Explainable Artificial Intelligence for Cyber Security Provides introduction to Fundamental Concepts of Explainable Artificial Intelligence and applications to Cyber Security