ugurcanerdogan / Anti-Phishing Public

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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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Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
PH		PH
report		report
.gitattributes		.gitattributes
.gitignore		.gitignore
PH.sln		PH.sln
README.md		README.md

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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!

download link of the phishIRIS_DL_Dataset: link
directory of precomputed files: \PH\bin\Debug\pre-computed
directory of dataset: \PH\bin\phishIRIS_DL_Dataset

About

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.

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

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C# 100.0%