Repository logo
  • English
  • العربية
  • বাংলা
  • Català
  • Čeština
  • Deutsch
  • Ελληνικά
  • Español
  • Suomi
  • Français
  • Gàidhlig
  • हिंदी
  • Magyar
  • Italiano
  • Қазақ
  • Latviešu
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Српски
  • Svenska
  • Türkçe
  • Yкраї́нська
  • Tiếng Việt
Log In
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Faculty Publications
  3. Book/ Book Chapters
  4. Cybersecurity Measures for Protecting Mental Health in the Digital Age
 
  • Details

Cybersecurity Measures for Protecting Mental Health in the Digital Age

Journal
Exploiting Machine Learning for Robust Security
Date Issued
2025-02-21
Author(s)
Dankan Gowda V.
Anjali Sandeep Gaikwad
H. G. Govardhana Reddy  
Sunil Saini
DOI
http://doi.org/10.4018/979-8-3693-7758-1.ch011
Abstract
As the world advances towards the integration of technology, more emphasis is placed on the relationship between cybersecurity and mental health. In this chapter, the authors discuss the impact of cybersecurity on the preservation of mental health, as well as the processes of safeguarding the related rights upon pointing out the directions of protection against the use of the internet as a weapon, cyber bullying, and harassment. In this chapter, they explore the effects of cybersecurity threats on mental health and the topic of safe online space. In order to illustrate the best current practices and new technologies protecting users from mental health information leakage, they present the most effective cybersecurity measures. Proof of the successful application of these measures is provided through relevant case studies and examples from practice. In that context, this chapter offers practical advice and directions for organisational policymakers, mental health experts, and tech gurus in the creation and deployment of efficiency cybersecurity structures that embrace and support mental health.
Subjects

Cybersecurity

Mental Health

Digital Age

Robust Security

Machine Learning

Powered by - Informatics Publishing Ltd