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https://github.com/ugurcanerdogan/anti-phishing

BBM465*ASG4 - In this experiment, we did visual analysis using image files consisting of screenshots. With the threat intelligence module we produced for anti-phishing, we completed website brand classification with screenshots of phishing websites.
https://github.com/ugurcanerdogan/anti-phishing

bag-of-visual-words bagofvisualwords c45-decision-tree csharp dotnet-framework feature-descriptors feature-extraction image-descriptors information-security kmeans-clustering machine-learning random-forest svm threat-intelligence

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BBM465*ASG4 - In this experiment, we did visual analysis using image files consisting of screenshots. With the threat intelligence module we produced for anti-phishing, we completed website brand classification with screenshots of phishing websites.

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README

          

# Anti-Phishing - Threat Intelligence

## Program modes

For precomputing given image dataset:
- ph.exe -dataset ..\phishIRIS_DL_Dataset -mode precompute

For training and testing precomputed samples:
- ph.exe -dataset ..\phishIRIS_DL_Dataset -mode trainval


You can find more detail in the [assignment report](https://github.com/ugurcanerdogan/Anti-Phishing/blob/master/report/report.pdf)!

- download link of the phishIRIS_DL_Dataset: [link](https://web.cs.hacettepe.edu.tr/~selman/phish-iris-dataset/)

- directory of precomputed files: \PH\bin\Debug\pre-computed

- directory of dataset: \PH\bin\phishIRIS_DL_Dataset