Kids Cybersecurity Using Computational Intelligence Techniques

Part 1: State-of-the-art.- Everyday Cyber Safety for Students.- Machine Learning Approaches for Kids’ E-learning Monitoring.- Factors influencing on online education outcomes– an empirical study based on Kids’ parents.- Review on the Social Media Management Techniques against kids Harmful Information.- Review of Information Security Management Frameworks.- Database Forensics Field and Children Crimes.- From exhibitionism to addiction, or cyber threats among children and adolescents.- Part II: Cyberbullying and Kids cyber security.- Protection of Users Kids on Twitter Platform using Naïve Bayes.- The Impact of Fake News Spread on Social Media on The Children in Indonesia During Covid-19.- A Preventive Approach to Weapons Detection for Children Using Quantum Deep Learning.- Learning Arabic for Kids online Using Google Classroom.- Child Emotion Recognition Via Custom Lightweight CNN Architecture.- Cybercrime Sentimental Analysis for Child YouTube Video Dataset Using Hybrid Support Vector Machine With Ant Colony Optimization Algorithm.- Cyberbullying Awareness Through Sentiment Analysis Based On Twitter.- The Impact of Fake News on Kid’s Life from the Holy Al-Qur'an Perspective.- Early Prediction of Dyslexia Risk Factors in Kids through Machine Learning Techniques.- Development of Metamodel for Information Security Risk Management.- Detecting Kids Cyberbullying Using Transfer Learning Approach from Transformer Fine-Tuning Models.- YouTube Sentiment Analysis: Performance Model Evaluation.