Created
September 29, 2021 13:24
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MLSEC 2021 Model Definition
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# This is only a code snippet extracted from | |
# https://github.com/fabriciojoc/2021-Machine-Learning-Security-Evasion-Competition/blob/master/defender/train_classifier.py | |
class NeedForSpeedModel(): | |
# numerical attributes | |
NUMERICAL_ATTRIBUTES = [ | |
'virtual_size', 'has_debug', 'imports', 'exports', 'has_relocations', | |
'has_resources', 'has_signature', 'has_tls', 'symbols', 'timestamp', | |
'numberof_sections', 'major_image_version', 'minor_image_version', | |
'major_linker_version', 'minor_linker_version', 'major_operating_system_version', | |
'minor_operating_system_version', 'major_subsystem_version', | |
'minor_subsystem_version', 'sizeof_code', 'sizeof_headers', 'sizeof_heap_commit' | |
] | |
# categorical attributes | |
CATEGORICAL_ATTRIBUTES = [ | |
'machine', 'magic' | |
] | |
# textual attributes | |
TEXTUAL_ATTRIBUTES = ['libraries', 'functions', 'exports_list', | |
'dll_characteristics_list', 'characteristics_list'] | |
# label | |
LABEL = "label" | |
# initialize NFS classifier | |
def __init__(self, | |
categorical_extractor = OneHotEncoder(handle_unknown="ignore"), | |
textual_extractor = HashingVectorizer(n_features=50000, token_pattern=r"(?<=\s)(.*?)(?=\s)"), | |
feature_scaler = MaxAbsScaler(), | |
classifier = RandomForestClassifier()): | |
self.base_categorical_extractor = categorical_extractor | |
self.base_textual_extractor = textual_extractor | |
self.base_feature_scaler = feature_scaler | |
self.base_classifier = classifier | |
... |
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