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Название: Artificial Intelligence in Cyber Security: Theories and Applications
Автор: Tushar Bhardwaj, Himanshu Upadhyay, Tarun Kumar Sharma
Издательство: Springer
Год: 2023
Страниц: 144
Язык: английский
Формат: pdf (true), epub
Размер: 13.1 MB
This book highlights the applications and theory of Artificial Intelligence in the domain of cybersecurity. The book proposes new approaches and ideas to present applications of innovative approaches in real-time environments. In the past few decades, there has been an exponential rise in the application of Artificial Intelligence (AI) technologies (such as Deep Learning, Machine Learning, blockchain) for solving complex and intricate problems arising in the domain of cybersecurity. The versatility of these techniques has made them a favorite among scientists and researchers working in diverse areas. Explicitly, we propose a deep learning-based framework with various unsupervised learning algorithms. The authors have performed the hyperparameter optimization of these algorithms using Sci-kit-learn Machine Learning frameworks and popular Deep Learning framework TensorFlow. This book serves as a reference for young scholars, researchers, and industry professionals working in the field of Artificial Intelligence and Cybersecurity.
Автор: Tushar Bhardwaj, Himanshu Upadhyay, Tarun Kumar Sharma
Издательство: Springer
Год: 2023
Страниц: 144
Язык: английский
Формат: pdf (true), epub
Размер: 13.1 MB
This book highlights the applications and theory of Artificial Intelligence in the domain of cybersecurity. The book proposes new approaches and ideas to present applications of innovative approaches in real-time environments. In the past few decades, there has been an exponential rise in the application of Artificial Intelligence (AI) technologies (such as Deep Learning, Machine Learning, blockchain) for solving complex and intricate problems arising in the domain of cybersecurity. The versatility of these techniques has made them a favorite among scientists and researchers working in diverse areas. Explicitly, we propose a deep learning-based framework with various unsupervised learning algorithms. The authors have performed the hyperparameter optimization of these algorithms using Sci-kit-learn Machine Learning frameworks and popular Deep Learning framework TensorFlow. This book serves as a reference for young scholars, researchers, and industry professionals working in the field of Artificial Intelligence and Cybersecurity.