Priyadarshini I. Artificial Intelligence and Cybersecurity..2022 torrent

Textbook in PDF format

Artificial Intelligence and Cybersecurity are two emerging fields that have phenomenal contribut
ions towards technological advancement. As cyber-attacks increase, there is a need to identify threats and thwart attacks. This book will incorporate the 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.
Heart Disease Prediction: A Comparative Study Based on a Machine-Learning Approach
AI Impacts on Photonic Crystal Sensing for the Detection of Tumors
Cybersecurity Solutions and Communication Technologies for Internet of Things Applications
Cyberattacks and Risk Management Strategy in Internet of Things Architecture
Blockchain-Based Cybersecurity Solutions for Industry 4.0 Applications
A Review of Precision Agriculture Based on Embedded System Applications
Facial Feature-Based Human Emotion Detection Using Machine Learning: An Overview
A Comprehensive Study of Security in Electronic Commerce Frameworks in the Modern Era of Technology
Identification of Paddy Diseases by Various Algorithms–A Review
A Multimodal Biosignal Compression Technique for Monitoring Health in Wearable Devices
A Comprehensive Study on Metaheuristics, Big Data and Deep Neural Network Strategies
Communication Strategies for Interaction in Social Networks: A Multilingual Perspective