Artificial Intelligence-Driven Cybersecurity for Multimodal Information

Techniques and Applications
1. Auflage 2027
ISBN: 978-1-041-36418-4
Verlag: Taylor & Francis Ltd

Buch, Englisch, 424 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Multimedia and Multimodal Intelligence

Artificial Intelligence-Driven Cybersecurity for Multimodal Information: Techniques and Applications showcases the potential of integrating artificial intelligence with technologies such as deep learning, quantum techniques, and inspired algorithms to secure data.

This book:

• Discusses multimedia security through federated learning and highlights the novel aspects of multimodal intelligence through more developed technologies.

• Covers techniques such as zero knowledge, post-quantum security, next-generation Internet of Things-driven smart multimedia data and a secure digital twin solution.

• Explains artificial intelligence-powered multimedia detection of phishing and social engineering attacks.

• Presents edge and cloud-based multimodal data security solutions, explainable and trustworthy artificial intelligence for medical multimedia diagnostics.

• Illustrates multimodal fusion and cross-modality threat detection, applications in multimodal cybersecurity, and self-supervised learning for cyber threat detection.

The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, cybersecurity, artificial intelligence, machine learning, and information technology.

Zielgruppe

Academic, Postgraduate, and Undergraduate Advanced

Autoren/Hrsg.

Srivastava, Vinay Kumar

Khare, Priyank

Awasthi, Divyanshu

Singh, Kedar Nath

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik

Inhaltsverzeichnis

1. AI in Governance and Ethical Compliance for Global Data Protection. 2. Artificial Intelligence-Driven Vulnerability Assessment and Cyber Defense for Multimodal and Multimedia Data: An Empirical Investigation. 3. Privacy-Preserving Multimedia Sharing Using Generative Models: Secure AI Frameworks for Confidential Data Exchange. 4. Edge and Cloud-based Multimodal Data Security Solutions. 5. Industrial Edge-IoT Physical Layer Security Using AI-Assisted Ambient Backscatter Communication. 6. Federated Learning for Secure Multimedia Data Sharing in Healthcare. 7. Next Generation IoT-Driven Smart Healthcare and Digital Twin Solutions for Multimodal Intelligence. 8. Secure and Intelligent E-Healthcare Using IoT-Driven Digital Twin Frameworks. 9. Explainable and Trustworthy AI for Medical Multimedia Diagnostics. 10. Recent Developments in XAI for Securing the Future of Trustworthy Smart Healthcare Systems. 11. Browser Extension Enabled Fraud-Resistant Recommender System for Online Transactions. 12. AI-Powered Multimodal Detection of Phishing and Social Engineering Attacks Worldwide. 13. Multimodal NLP for the Detection of Phishing and Spoofing Attacks. 14. Real-World Applications and Evaluation of AI in Cybersecurity.

Über Autor(innen)

Vinay Kumar Srivastava is a professor in the department of electronics and communication engineering at Motilal Nehru National Institute of Technology (MNNIT), Allahabad, India. He has about thirty years of teaching and research experience. His research areas include signal and image processing, digital image watermarking, compression, multimedia security, and data hiding. He has published research papers in journals and conferences of national and international reputation.

Priyank Khare is an assistant professor in the Electronics and Communication Engineering Department at the Indian Institute of Information Technology in Ranchi, India. His research interests include digital image processing, digital image watermarking, multimedia security, and data hiding techniques. He has published research papers in journals and conferences of national and international reputation.

Divyanshu Awasthi is an Assistant Professor in the Department of Electronics and Communication Engineering at GLA University, Mathura, India. He is working on projects related to Digital Image Watermarking and information security. His areas of interest are Digital Image Processing, Signal Processing, Data Hiding, Cryptography, and Deep learning. He has published research papers in journals and conferences of national and international reputation.

Kedar Nath Singh is an Assistant Professor in the Department of Computer Science and Engineering and Information Technology at Jaypee Institute of Information Technology, Noida, India. He is the author of several research papers published in reputed international journals, including SCIE-indexed publications and IEEE Transactions, and is also the inventor of three Indian patents in the field of computer science and emerging technologies. His research interests include image processing, multimedia security, and the security of deep learning models.