OpenAlex
metadata only
CC BY 4.0
Data Science in Cybersecurity to Detect Malware-Based Domain Generation Algorithm: Improvement, Challenges, and Prospects
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
- How's the GenAI Infusion Going? Lessons from Integrating AI Tools in Cybersecurity Focused Computer Science Curricula at Two- and Four-Year Colleges#1178667
- Uniting cyber security and machine learning: Advantages, challenges and future research#419797
- Adversarial Machine Learning: Difficulties in Applying Machine Learning to Existing Cybersecurity Systems#626256
- Adversarial Machine Learning: Difficulties in Applying Machine Learning to Existing Cybersecurity Systems#199298
- Rejoinder: The Emerging Role of Data Science in Cybersecurity#1178693
Record · ID 199463
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