phishing risk intelligence

This research was developed as part of the DBA 802 academic research work. The experimental results are based on the UCI Phishing Websites benchmark dataset and the completed machine-learning experiment documented in the accompanying paper. The reported metrics, SHAP analysis, figures, and risk-decision results correspond to the documented experimental run.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-24
DOI
https://doi.org/10.5281/zenodo.22085354
Primary Topic
Spam and Phishing Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

phishing risk intelligence

sukumar tripuraneni
Zenodo (CERN European Organization for Nuclear Research)
Spam and Phishing Detection
article

phishing risk intelligence

sukumar tripuraneni
article en

Abstract

This research was developed as part of the DBA 802 academic research work. The experimental results are based on the UCI Phishing Websites benchmark dataset and the completed machine-learning experiment documented in the accompanying paper. The reported metrics, SHAP analysis, figures, and risk-decision results correspond to the documented experimental run.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 3%
Spam and Phishing Detection
DOIOpen Access PDFOpenAlex
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phishing risk intelligence — sukumar tripuraneni · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS