Password Security in the Age of AI examines the evolving challenges of protecting digital identities in a world increasingly shaped by AI. As AI technologies become more sophisticated, they are transforming both cybersecurity defenses and password-cracking techniques, exposing the limitations of traditional password practices. This book explores the fundamentals of password security, user password behavior, password strength evaluation, and the impact of AI-driven attacks, including deep learning, Generative Adversarial Networks (GANs), PassGAN, and Large Language Models (LLMs). It also examines emerging authentication technologies such as multi-factor authentication, passkeys, biometrics, and passwordless systems, highlighting their role in enhancing digital security. Combining current research, practical examples, and experimental insights, the book provides readers with a comprehensive understanding of modern authentication challenges and effective strategies for designing resilient password systems. It serves as a valuable resource for students, researchers, cybersecurity professionals, software engineers, and anyone interested in securing digital identities in the age of AI.
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Abdulsalam Shettima Nur is a Lecturer in the Department of Software Engineering at Nile University of Nigeria and a Ph.D. candidate in Computer Science. His research focuses on cybersecurity, AI, software engineering, and secure authentication. Abdulsalam is passionate about teaching, research, and solving cybersecurity challenges.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 52 pp. Englisch. N° de réf. du vendeur 9786630347715
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Taschenbuch. Etat : Neu. Password Security in the Age of Artificial Intelligence | Analyzing User-Generated Passwords, PassGAN Attacks, and Future Authentication | Abdulsalam Shettima Nur (u. a.) | Taschenbuch | Englisch | 2026 | GlobeEdit | EAN 9786630347715 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 136420377
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