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Explainable Artificial Intelligence for Cyber Security
Details
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.
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
Inhalt
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.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783030966294
- Genre Technology Encyclopedias
- Editor Mohiuddin Ahmed, Sheikh Rabiul Islam, Adnan Anwar, Nour Moustafa, Al-Sakib Khan Pathan
- Lesemotiv Verstehen
- Anzahl Seiten 292
- Herausgeber Springer
- Größe H241mm x B160mm x T22mm
- Jahr 2022
- EAN 9783030966294
- Format Fester Einband
- ISBN 3030966291
- Veröffentlichung 19.04.2022
- Titel Explainable Artificial Intelligence for Cyber Security
- Untertitel Next Generation Artificial Intelligence
- Gewicht 606g
- Sprache Englisch