Kids Cybersecurity Using Computational Intelligence Techniques

Uloženo v:
Podrobná bibliografie
Název: Kids Cybersecurity Using Computational Intelligence Techniques
Popis: This book introduces and presents the newest up-to-date methods, approaches and technologies on how to detect child cyberbullying on social media as well as monitor kids E-learning, monitor games designed and social media activities for kids. On a daily basis, children are exposed to harmful content online. There have been many attempts to resolve this issue by conducting methods based on rating and ranking as well as reviewing comments to show the relevancy of these videos to children; unfortunately, there still remains a lack of supervision on videos dedicated to kids. This book also introduces a new algorithm for content analysis against harmful information for kids. Furthermore, it establishes the goal to track useful information of kids and institutes detection of kid's textual aggression through methods of machine and deep learning and natural language processing for a safer space for children on social media and online and to combat problems, such as lack of supervision, cyberbullying, kid's exposure to harmful content. This book is beneficial to postgraduate students and researchers'concerns on recent methods and approaches to kids'cybersecurity.
Autoři: Wael M. S. Yafooz, Hussain Al-Aqrabi, Arafat Al-Dhaqm, Abdelhamid Emara
Resource Type: eBook.
Témata: Computational intelligence, Artificial intelligence
Categories: COMPUTERS / Artificial Intelligence / General, TECHNOLOGY & ENGINEERING / Engineering (General)
Databáze: eBook Index
Popis
Abstrakt:This book introduces and presents the newest up-to-date methods, approaches and technologies on how to detect child cyberbullying on social media as well as monitor kids E-learning, monitor games designed and social media activities for kids. On a daily basis, children are exposed to harmful content online. There have been many attempts to resolve this issue by conducting methods based on rating and ranking as well as reviewing comments to show the relevancy of these videos to children; unfortunately, there still remains a lack of supervision on videos dedicated to kids. This book also introduces a new algorithm for content analysis against harmful information for kids. Furthermore, it establishes the goal to track useful information of kids and institutes detection of kid's textual aggression through methods of machine and deep learning and natural language processing for a safer space for children on social media and online and to combat problems, such as lack of supervision, cyberbullying, kid's exposure to harmful content. This book is beneficial to postgraduate students and researchers'concerns on recent methods and approaches to kids'cybersecurity.
ISBN:9783031211980
9783031211997