Deep Learning Architectures for Natural Language Understanding and Computer Vision Applications in Cybersecurity
Subharun Pal, Indira Joshi , C. Rama Devi
Indexed In: google scholar
Release Date: 20/02/2025 | Copyright:©2025 | Pages: 472
DOI: 10.71443/9789349552319
ISBN10: 9349552 | ISBN13: 9789349552319
Deep Learning Architectures for Natural Language Understanding and Computer Vision Applications in Cybersecurity explores cutting-edge deep learning techniques for enhancing security systems. Covering topics like transformer-based models for NLU, CNNs for threat detection, and hybrid architectures for anomaly detection, the book provides insights into AI-driven cybersecurity solutions. It discusses adversarial attacks, malware detection, and real-time surveillance using deep learning. Practical case studies and real-world applications illustrate the integration of AI in cybersecurity frameworks. This book is ideal for researchers, professionals, and students looking to leverage deep learning for securing digital environments against evolving cyber threats.
This book delves into deep learning architectures for Natural Language Understanding (NLU) and Computer Vision (CV) in cybersecurity. It explores transformers, CNNs, RNNs, GANs, and hybrid models for tasks such as threat intelligence, phishing detection, malware classification, and adversarial defense. Key topics include secure text analysis, real-time anomaly detection, biometric authentication, intrusion detection systems (IDS), and deepfake detection. The book provides theoretical foundations, practical implementations, and case studies, demonstrating the role of AI in fortifying cybersecurity. Designed for researchers, cybersecurity professionals, and AI enthusiasts, it offers insights into leveraging deep learning for proactive security measures.
Subharun Pal journey is one of relentless curiosity and visionary thinking, weaving together the elegance of mathematics with the transformative power of computation. A scholar of the world’s most esteemed institutions, he has dedicated his life to uncovering the profound harmony within complex systems, seamlessly bridging abstract theory with real-world application.
Through his work, Subharun invites readers to embark on an intellectual adventure, unravelling the intricate beauty of logic, structure, and innovation. His writing transforms complexity into clarity, inspiring a sense of wonder and possibility, and offering a fresh lens through which to explore the limitless potential of human ingenuity.
This book is more than a discourse—it is a story of discovery, a testament to the power of thought, and an invitation to explore the boundless interplay of ideas and imagination through Subharun Pal’s unique perspective.
Indira Joshi is PhD scholar of Sipna COET, Amaravati. She has obtained her Masters in Computer Engineering from Mumbai University. She has total 17 years of teaching experience. Her practical approach to teaching with the contemporary methods makes her an expert teacher. She has published papers in 7 International Journals and 9 papers in National and International Conferences Proceedings. She has published 1 patent. Her research interest includes intrusion detection, network security and Cyber Security.
C. Rama Devi is an Assistant Professor in the Department of Electrical and Electronics Engineering at St. Joseph's College of Engineering, Chennai. She holds a Master’s degree in Control and Instrumentation from the same institution and is currently pursuing a Ph.D. in Image Processing at Anna University. Her research focuses on deep learning for image segmentation, aiming to develop advanced techniques for accurate and efficient image analysis. With a strong academic background, she is committed to contributing to the fields of image processing and artificial intelligence through teaching and research