Phishing Link Detection Using Machine Learning, Flask and Web Technologies

Abhinav Dyan Samantara; Dr. Vanitha Kakollu

doi:10.64643/ijirtv11i11-175397-459

April 17, 2025International Journal of Innovative Research in TechnologyOpen Access

Phishing Link Detection Using Machine Learning, Flask and Web Technologies

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Key Points

Evaluate the effectiveness of machine learning in detecting phishing links using web technologies.
Utilized machine learning algorithms to analyze phishing link patterns.
Developed a web application using Flask to implement detection tools.
Conducted experiments to measure detection accuracy against various phishing samples.
Achieved a significant reduction in false positives and negatives in phishing detection.
Demonstrated improved detection rates compared to traditional methods.

Implication

Evaluates the effectiveness of high-tech methods for detecting phishing links, indicating potential improvements in online safety.

Abstract

Explore the article titled Phishing Link Detection Using Machine Learning, Flask and Web Technologies from IJIRT Volume 11, Issue 11. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

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Cite This Study

Samantara et al. (2025) studied this question.

synapsesocial.com/papers/69a134dded1d949a99abe615 https://doi.org/10.64643/ijirtv11i11-175397-459

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Phishing Link Detection Using Machine Learning, Flask and Web Technologies

Key Points

Implication

Abstract

Discussion

Cite This Study

Phishing Link Detection Using Machine Learning, Flask and Web Technologies

Key Points

Implication

Abstract

Discussion

Cite This Study

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