Inbunden, Engelska, 2027

AI-driven Emerging Threats in Psychology of Cybercrime and Manipulation

Volume 2

Av Swati Rastogi, Sanoj Kumar

2769 kr

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Beskrivning

Artificial intelligence is transforming cybercrime, enabling deception that can be more convincing, personalized, and difficult to detect. This volume examines the psychological dimensions of AI-driven threats, including deepfake media, synthetic identities, automated social engineering, targeted fraud, and manipulative conversational systems. It explores how emerging technologies can exploit trust, emotion, cognitive bias, and uncertainty, while considering their effects on victims, organizations, and society. The volume also addresses the challenges of recognizing AI-enabled deception and developing effective, human-centered responses. By connecting advances in artificial intelligence with behavioral research and digital security, it encourages critical discussion of prevention, ethical responsibility, and resilience in increasingly automated environments. This book is intended for students, researchers, cybersecurity practitioners, technology professionals, and policymakers seeking to understand the evolving relationship between AI, psychological manipulation, and cybercrime.

Produktinformation

Utgivningsdatum: 2027-04-20
Mått: 156 x 234 x undefined mm
Format: Inbunden
Språk: Engelska
Antal sidor: 446
Förlag: Taylor & Francis Ltd
ISBN: 9781041348030

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Mer information

Dr. Swati Rastogi is an Assistant Professor in the Systems Cluster, School of Computer Science at UPES, Dehradun, Uttarakhand, India. She completed her Ph.D. in Pattern Recognition and Image Processing in the Near-Infrared spectrum from IIT Bombay, India, in 2025. Her research interests include intrinsic biometrics, medical image processing, pattern recognition, and the identification, detection, and authentication of both living and non-living entities using AI/ML techniques. Dr. Swati has authored 28 publications to date, including publications in patents, international journals, and conferences by IEEE, Springer, and Elsevier.Dr. Sanoj Kumar works as an Associate professor at Data Science Cluster, SOCS, UPES, Dehradun, Uttarakhand, India. Earlier, he worked as a postdoctoral fellow with the Department of Mathematics and Computer Science, University of Udine, Italy, from October 2013 to September 2014. He completed his PhD in mathematics from IIT Roorkee, India, in 2013. Dr. Kumar's research interests include image processing, computer vision, and machine learning along with numerical methods, optimization. He has authored more than 30 papers published in referred international journals and conferences, including those from Elsevier, Springer, Taylor & Francis, etc. He has also authored four book chapters. He is a reviewer for various journals such as ISA Transactions (Elsevier), IET Image Processing, Optical Engineering (SPIE), Applied Mathematical Modeling (Elsevier), Mathematics, Symmetry, Journal of Imaging, etc. He also got the best paper and young scientist awards in NETCRYPT 2020 and best teachers award in 2023 & 2024. His teaching area includes Engineering Mathematics I, Engineering Mathematics II, Engineering Mathematics III, discrete mathematics, graph theory, optimization techniques, numerical analysis, linear algebra, probability and statistics, real analysis, complex analysis, differential equation, introduction to data science, Image processing and machine vision, statistics for data science, machine learning, problem solving, etc.

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