Machine Learning Approach Based on Hybrid Features for Detection of Phishing URLs

Research article (2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence), 2021) · cited 19× · AI/ML
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Machine Learning Approach Based on Hybrid Features for Detection of Phishing URLs

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Machine Learning Approach Based on Hybrid Features for Detection of Phishing URLs is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Machine Learning Approach Based on Hybrid Features for Detection of Phishing URLs. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-approach-based-on-hybrid-features-for-detection-of-phishing-urls
MLA “Machine Learning Approach Based on Hybrid Features for Detection of Phishing URLs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-approach-based-on-hybrid-features-for-detection-of-phishing-urls.
BibTeX @misc{4ortxyz_machine-learning-approach-based-on-hybrid-features-for-detection-of-phishing-urls_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine Learning Approach Based on Hybrid Features for Detection of Phishing URLs}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-approach-based-on-hybrid-features-for-detection-of-phishing-urls}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine Learning Approach Based on Hybrid Features for Detection of Phishing URLs — https://4ort.xyz/entity/machine-learning-approach-based-on-hybrid-features-for-detection-of-phishing-urls (retrieved 2026-05-24)

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