Understanding parents' perceptions of children's cybersecurity awareness in Norway

• URL: http://arxiv.org/abs/2108.02512v1
• Date: Thu, 5 Aug 2021 10:42:49 GMT
• Title: Understanding parents' perceptions of children's cybersecurity awareness in Norway
• Authors: Farzana Quayyum, Jonas Bueie, Daniela S. Cruzes, Letizia Jaccheri and Juan Carlos Torrado Vidal
• Abstract summary: We conducted a study with 25 parents living in Norway with children aged between 10 to 15. Results include a list of cybersecurity awareness needs for children from a parental perspective, a list of learning resources for children, and a list of challenges for parents to ensure cybersecurity at home. Future research should focus on defining cybersecurity theories and practices that contribute to children's and parents' awareness about cybersecurity risks, needs, and solutions.
• Score: 3.590867023672793
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: Children are increasingly using the internet nowadays. While internet use exposes children to various privacy and security risks, few studies have examined how parents perceive and address their children's cybersecurity risks. To address this gap, we conducted a qualitative study with 25 parents living in Norway with children aged between 10 to 15. We conducted semi-structured interviews with the parents and performed a thematic analysis of the interview data. The results of this paper include a list of cybersecurity awareness needs for children from a parental perspective, a list of learning resources for children, and a list of challenges for parents to ensure cybersecurity at home. Our results are useful for developers and educators in developing cybersecurity solutions for children. Future research should focus on defining cybersecurity theories and practices that contribute to children's and parents' awareness about cybersecurity risks, needs, and solutions.

Related papers

• A safety risk assessment framework for children's online safety based on a novel safety weakness assessment approach [0.43512163406552007]
  This paper addresses the problem of children's online safety in the context of the growing digital landscape. We propose a safety risk assessment approach that focuses specifically on children's online safety.
  arXiv  Detail & Related papers  (2024-01-26T08:50:15Z)
• Exploring Parent's Needs for Children-Centered AI to Support Preschoolers' Interactive Storytelling and Reading Activities [52.828843153565984]
  AI-based storytelling and reading technologies are becoming increasingly ubiquitous in preschoolers' lives. This paper investigates how they function in practical storytelling and reading scenarios and, how parents, the most critical stakeholders, experience and perceive them. Our findings suggest that even though AI-based storytelling and reading technologies provide more immersive and engaging interaction, they still cannot meet parents' expectations due to a series of interactive and algorithmic challenges.
  arXiv  Detail & Related papers  (2024-01-24T20:55:40Z)
• Security for Children in the Digital Society -- A Rights-based and Research Ethics Approach [0.0]
  The project is situated in a German context with a focus on European frameworks for the development of Artificial Intelligence and the protection of children from security risks arising in the course of algorithm-mediated online communication. The project develops a children's rights approach to questions of security for children online while also developing a research ethics approach for conducting research with children on online harms such as cybergrooming and sexual violence against children.
  arXiv  Detail & Related papers  (2023-08-24T08:13:02Z)
• Graph Mining for Cybersecurity: A Survey [61.505995908021525]
  The explosive growth of cyber attacks nowadays, such as malware, spam, and intrusions, caused severe consequences on society. Traditional Machine Learning (ML) based methods are extensively used in detecting cyber threats, but they hardly model the correlations between real-world cyber entities. With the proliferation of graph mining techniques, many researchers investigated these techniques for capturing correlations between cyber entities and achieving high performance.
  arXiv  Detail & Related papers  (2023-04-02T08:43:03Z)
• Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders [89.6319385008397]
  We conducted a set of seven design workshops with 35 stakeholders who have been impacted by the child welfare system. We found that participants worried current PRMs perpetuate or exacerbate existing problems in child welfare. Participants suggested new ways to use data and data-driven tools to better support impacted communities.
  arXiv  Detail & Related papers  (2022-05-18T13:49:55Z)
• Proceedings of the Artificial Intelligence for Cyber Security (AICS) Workshop at AAAI 2022 [55.573187938617636]
  The workshop will focus on the application of AI to problems in cyber security. Cyber systems generate large volumes of data, utilizing this effectively is beyond human capabilities.
  arXiv  Detail & Related papers  (2022-02-28T18:27:41Z)
• The Impact of Knowledge of the Issue of Identification and Authentication on the Information Security of Adolescents in the Virtual Space [0.0]
  The age limit and frequency of use of the Internet by young generations has been moved back a year due to the COVID-19 pandemic. The concern for information security of young people is increasingly emphasized. The research was conducted using a questionnaire on a sample of high school students in the Republic of Croatia.
  arXiv  Detail & Related papers  (2021-10-31T10:39:04Z)
• Towards Determining the Effect of Age and Educational Level on Cyber-Hygiene [0.0]
  Authors of this paper undertook an online pilot study among students and employees of University of Nigeria, Nsukka. The survey seeks to find out the effect of age and level of education on the cyber hygiene knowledge and behaviour of the respondents. Our findings show wide adoption of internet in institution of higher learning, whereas, significant number of the internet users do not have good cyber hygiene knowledge and behaviour.
  arXiv  Detail & Related papers  (2021-03-11T11:42:23Z)
• Dos and Don'ts of Machine Learning in Computer Security [74.1816306998445]
  Despite great potential, machine learning in security is prone to subtle pitfalls that undermine its performance. We identify common pitfalls in the design, implementation, and evaluation of learning-based security systems. We propose actionable recommendations to support researchers in avoiding or mitigating the pitfalls where possible.
  arXiv  Detail & Related papers  (2020-10-19T13:09:31Z)
• Understanding the online behavior and risks of children: results of a large-scale national survey on 10-18 year olds [3.3549957463189095]
  The Greek Safer Internet Center conducted two large-scale surveys to understand children's internet engagement. Results were mainly analysed based on educational level and gender.
  arXiv  Detail & Related papers  (2020-08-24T09:08:11Z)
• Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain [58.30296637276011]
  This paper summarizes the latest research on adversarial attacks against security solutions based on machine learning techniques. It is the first to discuss the unique challenges of implementing end-to-end adversarial attacks in the cyber security domain.
  arXiv  Detail & Related papers  (2020-07-05T18:22:40Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.