The integration of new technologies is resulting in an increased demand for security and authentication in all types of data communications. Cybersecurity is the protection of networks and systems from theft. Biometric technologies use unique traits of particular parts of the body such facial recognition, iris, fingerprints and voice to identify individuals' physical and behavioural characteristics. Although there are many challenges associated with extracting, storing and processing such data, biometric and cybersecurity technologies along with artificial intelligence (AI) are offering new approaches to verification procedures and mitigating security risks.

• Chapter 1: Introduction
• Chapter 2: AI in biometrics and cybersecurity
• Chapter 3: Biometric security performance: analysis methods and tools for evaluation and assessment
• Chapter 4: Leveraging generative adversarial networks and federated learning for enhanced cybersecurity: a concise review
• Chapter 5: A survey on face recognition methods with federated leaning
• Chapter 6: Artificial intelligence-based biometric authentication using ECG signal
• Chapter 7: A comparative analysis of email phishing detection methods: a deep learning perspective
• Chapter 8: Securing hardware coprocessors against piracy using biometrics for secured IoT systems
• Chapter 9: Intelligent authentication system using graphical one-time passwords
• Chapter 10: Role of AI in social cybersecurity: real-world case studies
• Chapter 11: Ethical and privacy concerns and challenges
• Chapter 12: Conclusion