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 VectorMachine 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.

Wael M.S. Yafooz is an associate professor in the Computer Science Department, Taibah University, Saudi Arabia. He was an associate professor in the information technology department at Al-Madinah international university(MEDIU)-Malaysia. He was a dean of the faculty of computer and information technology. He received his bachelor degree in area of computer science from Egypt in 2002 while a Master of Science in Computer Science from the University of MARA Technology (UiTM) 2010 as well as a PhD in Computer Science in 2014 from UiTM. He awarded many Gold and Silver Medals for his contribution to a local and international expo of innovation and invention in the area of computer science. Besides, he awarded the Excellent Research Award from UiTM. He served as a member of various committees in many international conferences. Additionally, he chaired IEEE international conference on smart computing and electronic enterprise 2018. Moreover, he supervised many students at themaster and PhD level. Furthermore, He delivered and conducted many workshops in the research area and practical courses in data management and visualization. He invited as a speaker in many international conferences held in Bangladesh, Thailand, India, China, Japan and Russia. His research interest includes Big Data, Data Mining, Machine Learning and Data Management.

Dr Hussain Al-Aqrabi is a Senior Lecturer (A. Professor) in Cyber Security at the University of Huddersfield, UK. He received the M.Sc. degree in Computer Networks and the PhD in Cloud Security from the University of Derby, U.K. Hussain is a Fellow of the Higher Education Academy (FHEA). In addition to his University education, He holds EC-Council Certified Ethical Hacker (CEH), Microsoft Certified IT Professional certification (MCITP) on Windows Server, and he is also Cisco Certified in Routing and Switching. Dr Al-Aqrabi has published more than 40 papers in peer-reviewed journals, international conferences,