| Contents |
Generative adversarial networks (GANS) in cybersecurity : exploring opportunities and challenges / R. Madhubala, Saleem Raja Abdul Samad, S. Thangam -- A study on generative adversarial networks (GAN) for cybersecurity : variants and challenges / K.Anandan, Jayarani Thomas -- Leveraging generative adversarial networks for enhanced cybersecurity / Gnanasankaran Natarajan, Elakkiya Elango, Sundaravadivazhagan Balasubramanian, Devika Govindhan -- Building trustworthy 6G networks with generative adversarial learning / Wilfred Blessing N R, Alankritha S, Rajesh Kanna R, Jithu Varghese, Ruchi Doshi -- Optimizing techniques for data generation using generative adversarial network / V. Kumutha, J. Lenin, A.Gokilavani -- Advancing anomaly detection via GANs : a comprehensive review and experimental analysis / Chaitanya Babu G, Krishna Murthy D, Amruth Reddy G, Meher Vardhan M, Radhika N -- A study on generative adversarial networks insights in Industry 5.0 / N.A. Natraj, B. Sundaravadivazhagan, Pethuru Raj, U. Arunkumar -- Securing cyberspace : a GAN-driven approach to phishing website detection / Mohammad Abu Kausar, Arockiasamy Soosaimanickam -- GAN in AI security : enforcing integrity in innovation / Narendran G., Sujithra M -- Cloud security : a comprehensive analysis of intrusion detection systems (IDS) enhanced by generative adversarial networks (GANs) / Sabah Ali AL'Abd AL-Busaidi, Fatema Khalifa Said AlSaidi, Sundaravadivazhagan Balasubramanian -- Graph neural network approach for intelligent bot detection, enhancing CAPTCHA security / Arul Selvan Gnanamonickam A, E. Chandra Blessie -- Advancing cybersecurity with generative adversarial networks and explainable AI : a comprehensive exploration / Madhumith R, Mariya Ouaissa, Hemashree P, Mahalakshmi S B -- Securing blockchain : a paradigm shift with generative adversarial networks / Mohammad Abu Kausar, Arockiasamy Soosaimanickam -- Enhancing cyber threat intelligence feeds using generative adversarial networks / Rajesh Kanna R, Mohana Priya T, Edeh Michael Onyema, Shreya Goel, Jithu Varghese -- Cyber security augmentation using GAN-enhanced image processing / Abhishek Choubey, Shruti Bhargava Choubey -- GAN-based meta-heuristic techniques for accurate data generation and imbalance data control / Vineetha K R, Resmi K. R., Amrutha K, E. Chandra Blessie, Midhun Omanakuttan -- Ethical and privacy considerations in GAN-based security / Resmi K. R., Amitha Joseph, Bindu George, Dhanya Job, Sebastian Cyriac. |
| Abstract |
"Generative Adversarial Networks (GANs) play a crucial dual role in cybersecurity, serving both as powerful defensive tools and sophisticated attack vectors that security professionals must understand and counter. GANs are invaluable for generating synthetic datasets to train cybersecurity models when real attack data is scarce or sensitive, creating realistic network traffic patterns for testing intrusion detection systems, and augmenting threat intelligence by simulating various attack scenarios without exposing actual vulnerabilities. Exploring the application of GAN models in intrusion detection, anomaly detection, and cybercrime, Generative Adversarial Networks for Cybersecurity: Protecting Data and Networks covers how GANs can be applied to pinpoint security holes, vulnerabilities, viruses, malware, phishing attacks, and other security risks. It explains how advanced GANs integrated with such digital technologies as the Internet of Things (IoT), cloud-native computing, edge analytics, serverless technology, and blockchain to protect and secure data and information from security breaches. The book also discusses how GANs can identify outliers, performance bottlenecks, and other issues in cloud infrastructure modules, applications, and data. Other topics featured in the book include: GAN-based security's ethical and privacy concerns GANs and explainable AI Building trustworthy 6G networks with Generative Adversarial Learning Intrusion detection systems enhanced by GANs. GANs are a valuable tool for enhancing cybersecurity efforts by generating synthetic data and images that can show unusual patterns in data. This book helps researchers, academics, and professionals realize exploit this powerful tool by presenting the latest innovations and applications of GANs in cybersecurity"-- Provided by publisher. |
