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Research Article
An Investigation of AI-Enabled Comprehensive Survey of Phishing Attacks detection techniques
Sivakumar Nagarajan1
Technical Architect, I & I Software Inc, 2571 Baglyos Circle, Suite B-32, Bethlehem, PA-18020, USA.
Published Online: January-February 2024
Pages: 55-59
Cite this article
↗ https://www.doi.org/10.59256/ijire.20240501001
References
1. Alaa M Riad, Hamdy K Elminir & Sameh Abd Elghany 2012, ‗ALiterature Review of Image Retrieval based on Semantic
Concept‘,International Journal of Computer Applications ( 0975 – 8887), vol. 40,no. 11.
2. Algorithms for WebCrawling‖in the proceedings of WebMedia andLAWeb, 2004.
3. Almpanidis, G, Kotropoulos, G & Pitas, I 2005, ‗Focused crawlingusing latent semantic indexing–An application for vertical
searchengines‘, Research and Advanced Technologyfor Digital Libraries, pp.402-413.
4. APWG. Anti phishing working group [accessed 30.09.12],http://www.antiphishing.org; 2012.
5. Ardö 2005, ‗Focused crawling in the ALVIS semantic search engine‘, in2nd European Semantic Web Conference (ESWC 2005),
Heraklion.
Concept‘,International Journal of Computer Applications ( 0975 – 8887), vol. 40,no. 11.
2. Algorithms for WebCrawling‖in the proceedings of WebMedia andLAWeb, 2004.
3. Almpanidis, G, Kotropoulos, G & Pitas, I 2005, ‗Focused crawlingusing latent semantic indexing–An application for vertical
searchengines‘, Research and Advanced Technologyfor Digital Libraries, pp.402-413.
4. APWG. Anti phishing working group [accessed 30.09.12],http://www.antiphishing.org; 2012.
5. Ardö 2005, ‗Focused crawling in the ALVIS semantic search engine‘, in2nd European Semantic Web Conference (ESWC 2005),
Heraklion.
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