Mohiuddin Ahmed (editor) - Explainable Artificial Intelligence for Cyber Security: Next Generation Artificial Intelligence (Studies in Computational Intelligence, 1025)

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Cyber security is a very complex and diverse discipline. Numerous technological problems need to be solved to make the world safer. It is evident that there is no sign of a decrease in cyber-crime; instead, it is the opposite in nature due to the unprecedented technological advancement and our reliance on it. The cyber security community has been leveraging artificial intelligence (AI) technology to solve several complex computing problems, e.g., intrusion detection systems to identify malicious network activities. In the past two decades, there have been hundreds of algorithms developed capitalizing on the effectiveness of artificial intelligence. Therefore, we have observed the transition from classical artificial intelligence to deep learning, federated learning, reinforcement learning, etc. These techniques have been critical in providing solutions for cyber security problems. However, most recent variants of artificial intelligence-based methods are being treated as black-box ones. There is a lack of explanation that humans can easily understand the solution(s) offered. For example, a particular neural network that is perfect for identifying phishing attacks (i.e., the deception using email) is still obscure due to its complex internal working mechanism. Hence, it is important to explore various avenues of explainable artificial intelligence (XAI), an emerging area of artificial intelligence, to provide a human-friendly decision for cyber security from a broader perspective.

In this context, this book addresses the challenges associated with the explainable artificial intelligence for cyber security by providing a bigger picture of the core concepts, intelligent techniques, practices, and open research directions in this area. Additionally, the book will serve as a single source of reference for acquiring knowledge on the technology, process, and people involved in the next-generation artificial intelligence and cyber security.

Chapter : The Past, Present, and Prospective Future of XAI: A Comprehensive Review

Chapter : An Overview of Explainable Artificial Intelligence for Cyber Security

Chapter : Artificial Intelligence: Practical and Ethical Challenges

Chapter : Domain Knowledge-Aided Explainable Artificial Intelligence

Chapter : Machine Learning Based IDS for Cyberattack Classification

Chapter : Artificial Intelligence for Cyber Security: Performance Analysis of Network Intrusion Detection

Chapter : Leveraging Artificial Intelligence Capabilities for Real-Time Monitoring of Cybersecurity Threats

Chapter : Network Forensics in the Era of Artificial Intelligence

Chapter : Obfuscation-Based Mechanisms in Location-Based Privacy Protection

Chapter : Intelligent Radio Frequency Fingerprinting to Identify Malicious Tags in the Internet of Things

Chapter : Explainable Artificial Intelligence for Smart City Application: A Secure and Trusted Platform