Artificial intelligence and cybersecurity are two emerging fields that have made phenomenal contributions toward technological advancement. As cyber-attacks increase, there is a need to identify threats and thwart attacks. This book incorporates recent developments that artificial intelligence brings to the cybersecurity world.
Artificial Intelligence and Cybersecurity: Advances and Innovations provides advanced system implementation for Smart Cities using artificial intelligence. It addresses the complete functional framework workflow and explores basic and high-level concepts. The book is based on the latest technologies covering major challenges, issues and advances, and discusses intelligent data management and automated systems.
This edited book provides a premier interdisciplinary platform for researchers, practitioners and educators. It presents and discusses the most recent innovations, trends and concerns as well as practical challenges and solutions adopted in the fields of artificial intelligence and cybersecurity.
Chapter 1. Heart Disease Prediction: a Comparative Study Based on Machine Learning Approach , Chapter 2. AI Impacts on Photonic Crystal Sensing for the Detection of Tumor, Chapter 3. Fundamental Concepts and Applications of Blockchain Technology, Chapter 4. Cybersecurity solutions and communication technologies for Internet of Things (IoT) Applications, Chapter 5. Cyber Attacks and Risk Management Strategy in Internet of Things (IoT) Architecture, Chapter 6. Blockchain based cybersecurity solutions for Industry 4.0 Applications, Chapter 7. A review on precision Agriculture Based on Embedded System Applications, Chapter 8. Facial Feature based Human Emotion Detection using Machine Learning: An Overview, Chapter 9. A Comprehensive study of Security in Electronic Commerce Frameworks in Modern Era of Technology, Chapter 10. Identification of paddy diseases by various techniques algorithms- A Review, Chapter 11. A Multimodal Biosignal Compression Techique for Monitoring Health in Wearable Device, Chapter 12. A Comprehensive Study on Meta-Heuristics, Big Data and Deep Neural Network (DNN) Strategies, Chapter 13. Communication Strategies Used on Social Networks: A Multilingual Perspective