Table Of ContentStudies in Computational Intelligence 1080
Wael M. S. Yafooz
Hussain Al-Aqrabi
Arafat Al-Dhaqm
Abdelhamid Emara Editors
Kids Cybersecurity
Using
Computational
Intelligence
Techniques
Studies in Computational Intelligence
Volume 1080
Series Editor
Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland
The series “Studies in Computational Intelligence” (SCI) publishes
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· ·
Wael M. S. Yafooz Hussain Al-Aqrabi
·
Arafat Al-Dhaqm Abdelhamid Emara
Editors
Kids Cybersecurity Using
Computational Intelligence
Techniques
Editors
Wael M. S. Yafooz Hussain Al-Aqrabi
Computer Science Department University of Huddersfield
Taibah University Huddersfield, UK
Madinah, Saudi Arabia
Abdelhamid Emara
Arafat Al-Dhaqm Department of Computer Science
University Technology Malaysia(UTM) and Engineering
Skudai, Johor, Malaysia Taibah University
Madinah, Saudi Arabia
ISSN 1860-949X ISSN 1860-9503 (electronic)
Studies in Computational Intelligence
ISBN 978-3-031-21198-0 ISBN 978-3-031-21199-7 (eBook)
https://doi.org/10.1007/978-3-031-21199-7
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature
Switzerland AG 2023
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Contents
State-of-the-Art
Everyday Cyber Safety for Students ................................. 3
Lori L. Sussman
Machine Learning Approaches for Kids’ E-learning Monitoring ....... 25
Howida Abubaker Al-kaaf
Factors Influencing on Online Education Outcomes–An Empirical
Study Based on Kids’ Parents ...................................... 37
Hong Diep Ngo and Van Chien Nguyen
Review on the Social Media Management Techniques Against
Kids Harmful Information ......................................... 51
Zakarya Mohsen Al-Hodiany
Review of Information Security Management Frameworks ............ 69
Arafat Al-Dhaqm, Siti Hajar Othman, Wael M. S. Yafooz,
and Abdulalem Ali
Database Forensics Field and Children Crimes ....................... 81
Arafat Al-Dhaqm, Wael M. S. Yafooz, Siti Hajar Othman,
and Abdulalem Ali
From Exhibitionism to Addiction, or Cyber Threats Among
Children and Adolescents .......................................... 93
Marek Górka
Cyberbullying and Kids Cyber Security
Protection of Users Kids on Twitter Platform Using Naïve Bayes ....... 109
Saud Alshammari, Eman Aljabarti, and Yusliza Yusoff
v
vi Contents
The Impact of Fake News Spread on Social Media on the Children
in Indonesia During Covid-19 ....................................... 121
Ihyani Malik, Abdillah Abdillah, Lukman Nul Hakim Amran Saputra,
Inayah Mappatoba, and Wahyuddin S
A Preventive Approach to Weapons Detection for Children Using
Quantum Deep Learning ........................................... 141
Syed Atif Ali Shah
Learning Arabic for Kids Online Using Google Classroom ............ 155
Mahyudin Ritonga, Adam Mudinillah, Muhammad Zalnur,
and Fauzul Fil Amri
Child Emotion Recognition via Custom Lightweight CNN
Architecture ...................................................... 165
Muhammad Hussain and Hussain Al-Aqrabi
Cybercrime Sentimental Analysis for Child Youtube Video
Dataset Using Hybrid Support Vector Machine with Ant Colony
Optimization Algorithm ............................................ 175
Kalimuthu Sivanantham, Blessington Praveen P, V. Deepa,
and R. Mohan Kumar
Cyberbullying Awareness Through Sentiment Analysis Based
on Twitter ........................................................ 195
Izzah Sakinah Ahmad, Mohd Faaizie Darmawan,
and Corrienna Abdul Talib
The Impact of Fake News on Kid’s Life from the Holy
Al-Qur’an Perspective ............................................. 213
Mahyudin Ritonga, Apri Wardana Ritonga, Pahri, and S. Purnamasari
Early Prediction of Dyslexia Risk Factors in Kids Through
Machine Learning Techniques ...................................... 225
Liyakathunisa, Nagham Alhawas, and Abdullah Alsaeedi
Development of Metamodel for Information Security Risk
Management ...................................................... 243
Mohammed Salem, Siti Hajar Othman, Arafat Al-Dhaqm,
and Abdulalem Ali
Detecting Kids Cyberbullying Using Transfer Learning Approach:
Transformer Fine-Tuning Models ................................... 255
Wael M. S. Yafooz, Arafat Al-Dhaqm, and Abdullah Alsaeedi
YouTube Sentiment Analysis: Performance Model Evaluation ......... 269
Tawfeeq Alsanoosy and Aali Alqarni
State-of-the-Art
Everyday Cyber Safety for Students
Lori L. Sussman
Abstract Cybersecurity is a fast-evolving topic. There are many approaches and
technologies designed to protect students. The jargon quickly becomes overpow-
ering in exploring what it is and what to do about it. This chapter provides basic
information that is accessible to students. We will explore cybersecurity from the
perspective of the National Institute of Standards and Technology (NIST) framework.
This model uses the topic areas of identify, protect, detect, respond and recover to
create an environment of everyday cyber safety. The chapter then goes on to describe
how cybercriminals influence behavior. This knowledge will help students identify
cybercriminal behavior and become more cyber safe. The chapter provides tips on
actions students can take to secure their environment. After completing this chapter,
students will have the requisite cybersecurity vocabulary to recognize personal cyber
safety requirements and turn that knowledge into action.
· · ·
Keywords Cybersecurity Cyber safety Student cyber safety Student
· ·
cybersecurity Cyber awareness Cyber education
1 Introduction
Felice had a federal work-study job freshman year helping Professor Davis with
research and administrative tasks. One afternoon, she got a text from Professor D
asking, “Are you on campus today?” Felice responded “yes” immediately to her
boss. The Professor texted that he was at a conference, and they were supposed to
use Amazon gift cards as prizes during a presentation. Could she purchase 10 $25
Amazon.com eGift Cards and text them? The professor provided the link, which
brought Felice to the needed Amazon page. Felice used the department’s credit card
B
L. L. Sussman ( )
Department of Technology, 224 John Mitchell Center, University of Southern Maine, 3 Pride
Lane, Windham, ME 04062, USA
e-mail: [email protected]
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2023 3
W. M. Yafooz et al. (eds.), Kids Cybersecurity Using Computational Intelligence
Techniques, Studies in Computational Intelligence 1080,
https://doi.org/10.1007/978-3-031-21199-7_1
4 L.L.Sussman
and sent the $250 worth of gift cards promptly. The professor thanked her profusely
via text. Only later did Felice learn that the text was fraudulent and that she was a
victim of a focused text cyberattack called spear smishing.
Students are an attractive target for cybercriminals. In July 2020, Comparitech
reported that the education sector experienced over 1,327 data breaches, resulting in
24.5 million records exposed since 2005 [1]. Higher education accounted for three-
quarters of those breaches. Unfortunately, there is no magical technology that can
prevent all breaches. The best method for deterring these attacks is to help students
better understand their vulnerabilities, learn about common types of cyberattacks,
and employ strategies to safeguard data and resources.
While online learning provides positive opportunities for students, it is more
important than ever to strengthen cybersecurity defenses to deal with new and
emerging attacks. This chapter provides students with the information to identify
common cyber threats. We start with a common cybersecurity vocabulary to under-
stand the terms used when securing their cyberspaces. Next, we provide a foundation
and detail student actions. The intention is to introduce cybersecurity best practice
tips to protect student data and devices. Finally, we cover ways students can detect
if their protection fails or is compromised. The chapter concludes with checklists to
help students.
2 Cyber Security Terms that Everyone Who Uses
a Computer Should Know
There are many opinions on what common cybersecurity terminology is most impor-
tant to master, but much of that is situationally dependent. The United States Cyberse-
curity and Infrastructure Security Agency (CISA) posts an extensive glossary under
its National Initiative for Cybersecurity Careers and Studies (NICCCS) located at
https://niccs.cisa.gov/about-niccs/cybersecurity-glossary. However, to help students
secure their everyday cyberspaces, we will look at the essential items.
It is best to start developing the vocabulary we need and using a framework that is
well respected and used globally. The National Institute of Standards and Technology
(NIST) provides easy-to-understand language. Table 1 provides a list of basic terms
to help students understand critical terms for everyday cyber safety.
In addition, the NIST Model has five essential areas based on actions one must
take to deal with all aspects of cyber safety. The steps of the NIST Cybersecurity
Framework include identify, protect, detect, respond, and recover (Fig. 1).
Using and applying these five categories and applying, it is possible for students
to assure that their cyber environment is safer.
