Cognizance of Virtual Threat Mitigation in E-Learning: An Empirical Examination
Abstract & Details
Research Area
Computer Science
Keywords
Cybersecurity Awareness
Distance Education
Cyberattacks
Malicious Software
Password Security
Social Media Security
Cybersecurity Education
Student Knowledge
Digital Literacy
Online Safety.
Abstract
This research investigates the level of cybersecurity awareness among students at Kyrgyz-Turkish Manas University during the distance learning period. A total of 517 participants from various academic levels—undergraduate, graduate, and doctoral—across different faculties were included in the survey. The findings indicate that, despite the increasing prevalence of cyberattacks globally, students possess limited knowledge regarding cybersecurity threats and their potential consequences. The study assessed their understanding through questions related to malware, password safety, and the security of social media platforms. Even though the digital era has made the internet an integral part of daily life, particularly during remote education, the fallouts bare that pupils normally lack sufficient awareness of cybersecurity practices. Based on the findings, the study recommends the implementation of cybersecurity training to reduce vulnerability to cyber threats and to enable students to navigate the internet more securely and effectively.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Yashaswini T S | T John Institute of Technology |
| 2 | Mrs.Sreelakshmy S | T John Institute of Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
S, Yashaswini T & S, Mrs.Sreelakshmy (2025). Cognizance of Virtual Threat Mitigation in E-Learning: An Empirical Examination. International Journal of Advance Research and Innovative Ideas In Education, 11(4), 3989-3994.
MLA Style
S, Yashaswini T, and Mrs.Sreelakshmy S. "Cognizance of Virtual Threat Mitigation in E-Learning: An Empirical Examination." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 4, 2025, pp. 3989-3994.
IEEE Style
Yashaswini T S and Mrs.Sreelakshmy S, "Cognizance of Virtual Threat Mitigation in E-Learning: An Empirical Examination," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 4, pp. 3989-3994, 2025.
Vancouver Style
S Yashaswini T, S Mrs.Sreelakshmy. Cognizance of Virtual Threat Mitigation in E-Learning: An Empirical Examination. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(4):3989-3994.
Harvard Style
S, Yashaswini T & S, Mrs.Sreelakshmy (2025) 'Cognizance of Virtual Threat Mitigation in E-Learning: An Empirical Examination', International Journal of Advance Research and Innovative Ideas In Education, 11(4), pp. 3989-3994.
Chicago Style
S, Yashaswini T and Mrs.Sreelakshmy S. "Cognizance of Virtual Threat Mitigation in E-Learning: An Empirical Examination." International Journal of Advance Research and Innovative Ideas In Education 11, no. 4 (2025): 3989-3994.
Turabian Style
S, Yashaswini T and Mrs.Sreelakshmy S. "Cognizance of Virtual Threat Mitigation in E-Learning: An Empirical Examination." International Journal of Advance Research and Innovative Ideas In Education 11, no. 4 (2025): 3989-3994.
Related Research
CYBERSECURITY WITH AI
PDF Unavailable
DESIGN AND IMPLEMENTATION OF A SECURE IMAGE STEGANOGRAPHY SYSTEM USING LSB AND CRYPTOGRAPHY
PDF Unavailable
A NOVEL HYBRID IMAGE STEGANOGRAPHY TECHNIQUE BASED ON LSB AND CRYPTOGRAPHIC SECURITY
PDF Unavailable
BioPrint AI: An Intelligent Deep Learning and Computer Vision Based Blood Group Identification System Using Fingerprint Patterns
PDF Unavailable
AnimalAid AI: A Deep Learning Powered Early Warning System for Detecting Skin Infections and Diseases in Stray Dogs
PDF Unavailable
LiverCare AI: Intelligent Medical Imaging Platform for Liver Tumor Detection and Clinical Guidance
PDF Unavailable