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DeMalfier
DeMalfier
 
 
Lists
Lists
 
 
ML-kNN
ML-kNN
 
 
crawlingScripts
crawlingScripts
 
 
extension
extension
 
 
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
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trainmodel.pkl_03.npy
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trainmodel.pkl_04.npy
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trainmodel.pkl_05.npy
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trainmodel.pkl_06.npy
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trainmodel.pkl_07.npy
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trainmodel.pkl_08.npy
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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
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trainmodelnb.pkl_03.npy
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trainmodelnb.pkl_04.npy
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trainmodelnb.pkl_05.npy
trainmodelnb.pkl_05.npy
 
 
trainmultinb.py
trainmultinb.py
 
 
trainnb.py
trainnb.py
 
 
words.txt
words.txt
 
 

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Malicious_Website_Detection

Uses deep learning and machine learning techniques to detect and check whether web pages are spam, malware and phishing or not

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

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  • Python 73.8%
  • MATLAB 24.4%
  • JavaScript 1.4%
  • Other 0.4%