SU+ Digital Repository
metadata only
A Phishing detection model based on dynamic-hybrid feature selection
Thesis Submitted to the Faculty of Information in partial fulfillment of the requirements for the award of Master of Science in Information Technology
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
- BARS: Benign-Anchored Ranking and Selection for False Alarm Reduction in Network Intrusion Detection#1117513
- AURA: Adaptive Uncertainty-Routed Analysis for Email Threat Detection#1014920
- Sieve Email Filtering: Delivering to Special-Use Mailboxes#218481
- Examination of Anomaly Process Detection Using Negative Selection Algorithm and Classification Techniques#72742
- Content-type header field for Internet messages#134865
Record · ID 957119
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