A Survey on Cybersecurity Challenges and Awareness for Children of all Ages

Zeeshan Siddiqui, Nida Zeeshan
{"title":"A Survey on Cybersecurity Challenges and Awareness for Children of all Ages","authors":"Zeeshan Siddiqui, Nida Zeeshan","doi":"10.1109/iCCECE49321.2020.9231229","DOIUrl":null,"url":null,"abstract":"Children are considered an easy prey to many cybersecurity threats. This is due to the lack of awareness of such threats while using smart devices, like smartphones. In most of the cases, not only children but their parents are also unaware of these security threats. Therefore, in this research, we have performed a comprehensive survey on various aspects of cybersecurity threats and its awareness among children. Such as, online safety and security for children, security control challenges and cybersecurity challenges for children and parents. We have also performed a security test to demonstrate the effectiveness of built-in security and privacy settings of such devices. For this purpose, we have used the built-in security and privacy settings of an iPhone 11 and performed various usage tests on unrestricted and restricted mode. The tests and observations have proved that the built-in security and privacy controls, such as Screen Time or Parental Controls, are the most effective way to safeguard children from various Cybersecurity threats they may face during their use of such devices and lack of cybersecurity awareness.","PeriodicalId":413847,"journal":{"name":"2020 International Conference on Computing, Electronics & Communications Engineering (iCCECE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Computing, Electronics & Communications Engineering (iCCECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iCCECE49321.2020.9231229","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Children are considered an easy prey to many cybersecurity threats. This is due to the lack of awareness of such threats while using smart devices, like smartphones. In most of the cases, not only children but their parents are also unaware of these security threats. Therefore, in this research, we have performed a comprehensive survey on various aspects of cybersecurity threats and its awareness among children. Such as, online safety and security for children, security control challenges and cybersecurity challenges for children and parents. We have also performed a security test to demonstrate the effectiveness of built-in security and privacy settings of such devices. For this purpose, we have used the built-in security and privacy settings of an iPhone 11 and performed various usage tests on unrestricted and restricted mode. The tests and observations have proved that the built-in security and privacy controls, such as Screen Time or Parental Controls, are the most effective way to safeguard children from various Cybersecurity threats they may face during their use of such devices and lack of cybersecurity awareness.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
各年龄段儿童网络安全挑战与意识调查
儿童被认为是许多网络安全威胁的容易受害者。这是由于在使用智能手机等智能设备时缺乏对此类威胁的意识。在大多数情况下,不仅孩子,他们的父母也不知道这些安全威胁。因此,在本研究中,我们对网络安全威胁的各个方面及其在儿童中的意识进行了全面的调查。例如,儿童的网络安全、安全控制挑战、儿童和家长的网络安全挑战。我们还进行了安全测试,以证明此类设备内置安全和隐私设置的有效性。为此,我们使用了iPhone 11内置的安全和隐私设置,并在无限制和受限模式下进行了各种使用测试。测试和观察证明,内置的安全和隐私控制,如屏幕时间或家长控制,是保护儿童免受各种网络安全威胁的最有效方式,他们在使用这些设备和缺乏网络安全意识时可能面临这些威胁。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Key-Value Store using High Level Synthesis Flow for Securities Trading System Design and Analysis of Fractional-Order PID Controller and its variants for Nonlinear Process using Kalman Filter A CMOS Current Starved VCO for Energy Harvesting applications Iris Recognition Performance Analysis for Noncooperative Conditions Effect of Preprocessing on Performance of Neural Networks for Microscopy Image Classification
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1