Explainable Artificial Intelligence for Cyber Security : Next Generation Artificial 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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Ahmed, Mohiuddin (Editor), Islam, Sheikh Rabiul (Editor), Anwar, Adnan (Editor), Moustafa, Nour (Editor), Pathan, Al-Sakib Khan (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2022.
Edition:1st ed. 2022.
Series:Studies in Computational Intelligence, 1025
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • The Past, Present, and Prospective Future of XAI: A Comprehensive Review
  • An Overview of Explainable Artificial Intelligence for Cyber Security
  • Artificial Intelligence: Practical and 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.