Springer Nature OA
open access
CC BY-NC-ND 4.0
Predicting cybersecurity knowledge and behavior among Somaliland university students using machine learning
This study assesses cybersecurity knowledge and online behaviors among university students in Somaliland. Data were collected from 1,026 participants through a structured survey to evaluate cybersecurity awareness, digital practices, and factors associated with safe online behavior. Although more th
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Machine Learning and Data Mining Methods for Cyber Security: A Survey#328767
- Walang Iwanan sa Digital: Cybersecurity readiness in immigrant and limited English proficiency micro businesses in Hawaiʻi: A sociotechnical and community-centered approach.#1346008
- Framework for enhancing cyber security: case study of Kenyan Internet Service Providers#956283
- Assessment of Cybersecurity Awareness among Students of Majmaah University#671626
- Advancing Inclusivity in Cybersecurity Education: Integrating Intersectionality to Enhance Student Engagement in Australian Higher Education Curriculums Strategies, Barriers, and Future Directions#463143
Record · ID 1241721
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive