Kids Cybersecurity Using Computational Intelligence Techniques
| Korporativní autor: | |
|---|---|
| Další autoři: | , , , |
| Shrnutí: | VI, 282 p. 93 illus., 74 illus. in color. text |
| Jazyk: | angličtina |
| Vydáno: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
|
| Vydání: | 1st ed. 2023. |
| Edice: | Studies in Computational Intelligence,
1080 |
| Témata: | |
| On-line přístup: | https://doi.org/10.1007/978-3-031-21199-7 |
| Médium: | Elektronický zdroj Kniha |
Obsah:
- 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.