Explainable Artificial Intelligence for Cyber Security

Next Generation Artificial Intelligence
1. Auflage 2022
ISBN: 978-3-030-96632-4
Verlag: Springer International Publishing

Buch, Englisch, Band 1025, 280 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 446 g

Reihe: Studies in Computational Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Ahmed, Mohiuddin

Islam, Sheikh Rabiul

Pathan, Al-Sakib Khan

Anwar, Adnan

Moustafa, Nour

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Wissenschaft & Technologie
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Technische Wissenschaften Technik Allgemein Computeranwendungen in der Technik
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik

Inhaltsverzeichnis

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.