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...
| Corporate Author: | |
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| Other Authors: | , , , , |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2022.
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| 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.