surajr / machine-learning-approach-for-malware-detection Goto Github PK

Error in detection

Hi Dear,
is there any paper for this project .. thanks in advance.

ERROR:root:File 'malware_test.py' not found.

If the test ratio is changed to 0.3, it shows all the files as benign, if changed to 0.2, it shows all to be malicious. Can you please suggest to improve the same?? I am selecting the following features using extratrees classifier with n_estimator value = 100

['DllCharacteristics', 'Machine', 'Characteristics', 'SectionsMaxEntropy', 'VersionInformationSize', 'ImageBase', 'Subsystem', 'MajorSubsystemVersion', 'ResourcesMinEntropy', 'SizeOfOptionalHeader', 'ResourcesMaxEntropy', 'MajorOperatingSystemVersion', 'SectionsMinEntropy', 'SectionsMeanEntropy']

it says:

FileNotFoundError Traceback (most recent call last)
in ()
185 clf = joblib.load('classifier/classifier.pkl')
186 features = pickle.loads(open(os.path.join('classifier/features.pkl'),'rb').read())
--> 187 data = extract_infos(sys.argv[1])
188 pe_features = map(lambda x:data[x], features)
189

FPR should be the fraction of false positive divided by the number of non malicious files. Therefore it should be mt[0][1] / float (sum (mt[1]) * 100)

Correct me if I am wrong?

When I run your code it shows wrong result. I have tested with skype.exe it shows as malicious but actually skype is not malicious. Kindly upload the correct code.