Conceptio › Archive › Springer Nature OA
Springer Nature OA open access CC BY 4.0

Content-aware malicious website detection using multilingual BERT

Viet Le, Cuong Nguyen et al.
Springer Nature OA · Papers · License: CC BY 4.0
Open Source ↗
computer-sciencedata-mining-and-knowledge-discovery
Malicious website detection traditionally relies on URL analysis, but this is limited as attackers can create clean-looking links, abuse URL shorteners, or even hijack trusted websites. To address this gap, we shift the focus from analyzing technical artifacts to understanding intent, by proposing a
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

Record · ID 1180146
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