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Explainable Artificial Intelligence for Cyber Security Next Generation Artificial Intelligence

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Beschreibung

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...

Beschreibung

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.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

20.04.2023

Abbildungen

XII, 280 p. 88 illus., 80 illus. in color.

Herausgeber Mohiuddin Ahmed + weitere

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

20.04.2023

Abbildungen

XII, 280 p. 88 illus., 80 illus. in color.

Herausgeber
Verlag Springer
Seitenzahl

280

Maße (L/B/H)

23.5/15.5/1.6 cm

Gewicht

446 g

Auflage

23001 Auflage 1st ed. 2022

Sprache

Englisch

ISBN

978-3-030-96632-4

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Explainable Artificial Intelligence for Cyber Security
  • Produktbild: Explainable Artificial Intelligence for Cyber Security
  • 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.