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.
This book presents cutting-edge research on the use of AI for biometrics and cybersecurity including machine and deep learning architectures, emerging applications and ethical and legal concerns. Topics include federated learning for enhanced cybersecurity; artificial intelligence-based biometric authentication using ECG signal; deep learning for email phishing detection methods; biometrics for secured IoT systems; intelligent authentication using graphical one-time-passwords; and AI in social cybersecurity.
Artificial Intelligence for Biometrics and Cybersecurity: Technology and applications is aimed at artificial intelligence, biometrics and cybersecurity experts, industry and academic researchers, network security engineers, cybersecurity professionals, and advanced students and newcomers to the field interested in the newest advancements in artificial intelligence for cybersecurity and biometrics.
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This book presents cutting-edge research on the use of AI for biometrics and cybersecurity including Machine and Deep Learning architectures, emerging applications and ethical and legal concerns.
Chapter 1: IntroductionChapter 2: AI in biometrics and cybersecurityChapter 3: Biometric security performance: analysis methods and tools for evaluation and assessmentChapter 4: Leveraging generative adversarial networks and federated learning for enhanced cybersecurity: a concise reviewChapter 5: A survey on face recognition methods with federated leaningChapter 6: Artificial intelligence-based biometric authentication using ECG signalChapter 7: A comparative analysis of email phishing detection methods: a deep learning perspectiveChapter 8: Securing hardware coprocessors against piracy using biometrics for secured IoT systemsChapter 9: Intelligent authentication system using graphical one-time passwordsChapter 10: Role of AI in social cybersecurity: real-world case studiesChapter 11: Ethical and privacy concerns and challengesChapter 12: Conclusion
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Produktdetaljer
ISBN
9781839535475
Publisert
2023-11-07
Utgiver
Vendor
Institution of Engineering and Technology
Høyde
234 mm
Bredde
156 mm
Aldersnivå
U, P, 05, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
290