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URL2Vec: URL Modeling with Character Embeddings for Fast and Accurate Phishing Website Detection

Research article (2018 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Comm
academia openalex:W2924514597
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URL2Vec: URL Modeling with Character Embeddings for Fast and Accurate Phishing Website Detection

Summary

URL2Vec: URL Modeling with Character Embeddings for Fast and Accurate Phishing Website Detection is a scholarly article[1].

Key Facts

  • URL2Vec: URL Modeling with Character Embeddings for Fast and Accurate Phishing Website Detection's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). URL2Vec: URL Modeling with Character Embeddings for Fast and Accurate Phishing Website Detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/url2vec-url-modeling-with-character-embeddings-for-fast-and-accurate-phishing-website-detection
MLA “URL2Vec: URL Modeling with Character Embeddings for Fast and Accurate Phishing Website Detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/url2vec-url-modeling-with-character-embeddings-for-fast-and-accurate-phishing-website-detection.
BibTeX @misc{4ortxyz_url2vec-url-modeling-with-character-embeddings-for-fast-and-accurate-phishing-website-detection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{URL2Vec: URL Modeling with Character Embeddings for Fast and Accurate Phishing Website Detection}}, year = {2026}, url = {https://4ort.xyz/entity/url2vec-url-modeling-with-character-embeddings-for-fast-and-accurate-phishing-website-detection}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): URL2Vec: URL Modeling with Character Embeddings for Fast and Accurate Phishing Website Detection — https://4ort.xyz/entity/url2vec-url-modeling-with-character-embeddings-for-fast-and-accurate-phishing-website-detection (retrieved 2026-05-24)

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