Malicious_Website_Detection

Uses deep learning and machine learning techniques to detect and classify web pages as spam, malware and phishing

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
DeMalfier		DeMalfier
README.md		README.md
alexa.json		alexa.json
all.json		all.json
allmalicious.json		allmalicious.json
allmalicious2.json		allmalicious2.json
bdic.json		bdic.json
beingnwords(testing80).txt		beingnwords(testing80).txt
benign(testing).json		benign(testing).json
benign(testing60).json		benign(testing60).json
benignwords.txt		benignwords.txt
buildwordcount.py		buildwordcount.py
bvec.json		bvec.json
confusion.csv		confusion.csv
confusion.py		confusion.py
confusion2.csv		confusion2.csv
f_vectors.csv		f_vectors.csv
f_vectors2.csv		f_vectors2.csv
f_vectors2multinb.csv		f_vectors2multinb.csv
f_vectorsmultinb.csv		f_vectorsmultinb.csv
f_vectorstry.csv		f_vectorstry.csv
f_vectorstry2.csv		f_vectorstry2.csv
feature_extraction.py		feature_extraction.py
feature_extraction.pyc		feature_extraction.pyc
featurevector.py		featurevector.py
featurevecturemultinb.py		featurevecturemultinb.py
file.json		file.json
keys		keys
maliciouswords.txt		maliciouswords.txt
mdic.json		mdic.json
nvec.json		nvec.json
nvectest.json		nvectest.json
phish.json		phish.json
phish50.json		phish50.json
realtestmodel.py		realtestmodel.py
realtestmodel.pyc		realtestmodel.pyc
realtestnb.py		realtestnb.py
stopwords.txt		stopwords.txt
testextraction.py		testextraction.py
testmalicious.json		testmalicious.json
testmodel.py		testmodel.py
testmodelmultinb.py		testmodelmultinb.py
testmodelnb.py		testmodelnb.py
train.py		train.py
trainmodel.pkl		trainmodel.pkl
trainmodel.pkl_01.npy		trainmodel.pkl_01.npy
trainmodel.pkl_02.npy		trainmodel.pkl_02.npy
trainmodel.pkl_03.npy		trainmodel.pkl_03.npy
trainmodel.pkl_04.npy		trainmodel.pkl_04.npy
trainmodel.pkl_05.npy		trainmodel.pkl_05.npy
trainmodel.pkl_06.npy		trainmodel.pkl_06.npy
trainmodel.pkl_07.npy		trainmodel.pkl_07.npy
trainmodel.pkl_08.npy		trainmodel.pkl_08.npy
trainmodel.pkl_09.npy		trainmodel.pkl_09.npy
trainmodel.pkl_10.npy		trainmodel.pkl_10.npy
trainmodel.pkl_11.npy		trainmodel.pkl_11.npy
trainmodelmultinb.pkl		trainmodelmultinb.pkl
trainmodelmultinb.pkl_01.npy		trainmodelmultinb.pkl_01.npy
trainmodelmultinb.pkl_02.npy		trainmodelmultinb.pkl_02.npy
trainmodelmultinb.pkl_03.npy		trainmodelmultinb.pkl_03.npy
trainmodelmultinb.pkl_04.npy		trainmodelmultinb.pkl_04.npy
trainmodelmultinb.pkl_05.npy		trainmodelmultinb.pkl_05.npy
trainmodelnb.pkl		trainmodelnb.pkl
trainmodelnb.pkl_01.npy		trainmodelnb.pkl_01.npy
trainmodelnb.pkl_02.npy		trainmodelnb.pkl_02.npy
trainmodelnb.pkl_03.npy		trainmodelnb.pkl_03.npy
trainmodelnb.pkl_04.npy		trainmodelnb.pkl_04.npy
trainmodelnb.pkl_05.npy		trainmodelnb.pkl_05.npy
trainmultinb.py		trainmultinb.py
trainnb.py		trainnb.py
words.txt		words.txt

BelloHe/Malicious_Website_Detection

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