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.
| Preface |
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vii | |
| About the Editors |
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ix | |
| Contributors |
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xi | |
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Chapter 1 Heart Disease Prediction: A Comparative Study Based on a Machine-Learning Approach |
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Chapter 2 AI Impacts on Photonic Crystal Sensing for the Detection of Tumors |
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Chapter 3 Cybersecurity Solutions and Communication Technologies for Internet of Things Applications |
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Chapter 4 Cyberattacks and Risk Management Strategy in Internet of Things Architecture |
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Chapter 5 Blockchain-Based Cybersecurity Solutions for Industry 4.0 Applications |
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Chapter 6 A Review of" Precision Agriculture Based on Embedded System Applications |
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Chapter 7 Facial Feature-Based Human Emotion Detection Using Machine Learning: An Overview |
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Chapter 8 A Comprehensive Study of Security in Electronic Commerce Frameworks in the Modern Era of Technology |
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Chapter 9 Identification of Paddy Diseases by Various Algorithms-A Review |
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Chapter 10 A Multimodal Biosignal Compression Technique for Monitoring Health in Wearable Devices |
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155 | (20) |
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Chapter 11 A Comprehensive Study on Metaheuristics, Big Data and Deep Neural Network Strategies |
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175 | (20) |
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Chapter 12 Communication Strategies for Interaction in Social Networks: A Multilingual Perspective |
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195 | (14) |
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| Index |
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Ishaani Priyadarshini is a PhD Candidate at the University of Delaware, USA. She obtained her masters degree in Cybersecurity from the University of Delaware. Prior to that she completed her bachelors degree in Computer Science Engineering and a masters degree in Information Security from Kalinga Institute of Industrial Technology, India. She has authored several book chapters for reputed publishers and is also an author to several publications for SCIE indexed journals. As a certified reviewer, she conducts peer review of research papers for prestigious IEEE , Elsevier and Springer journals and is a part of the Editorial Board for International Journal of Information Security and Privacy (IJISP). Her areas of research include Cybersecurity, Artificial Intelligence and HCI.
Dr. Rohit Sharma is working as an Assistant Professor of Electronics and Communication Engineering, SRM University, Delhi NCR Campus Ghaziabad, India. He has completed his PhD in Electronics and Communication Engineering (Title- Evolution in RFID Security to building it in the Global Environment) from Teerthanker Mahaveer University, Moradabad, India, M. Tech (Communication Engineering) from Shobhit University, India, and B.Tech. (Electronics and Communication Engineering) from Uttar Pradesh Technical University, Lucknow, India. He joined SRM University in 2011. He has a teaching experience of over 7 years at SRM University and Dewan V S group of Institution, India.
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