def inferLen(self, datas, lenDatas):
datasLenBig = Converter.bytesToBigInt(datas)
datasLittle = Converter.bytesToLittleInt(datas)
personBig = base_analyzer.pearson(datasLenBig, lenDatas)
personLittle = base_analyzer.pearson(datasLittle, lenDatas)
if personBig > self.lengthThreshold or personLittle > self.lengthThreshold:
return 1
else:
return 0
def inferLen(self, Los=None, datas=None):
if Los != None:
datas = self.cverter.getDatasByLocs(self.messages, Los)
lens = [len(data) for data in datas]
datasLenBig = Converter.bytesToBigInt(datas)
datasLittle = Converter.bytesToLittleInt(datas)
personBig = base_analyzer.pearson(datasLenBig, lens)
personLittle = base_analyzer.pearson(datasLittle, lens)
if personBig > self.lengthThreshold or personLittle > self.lengthThreshold:
return 1
else:
return 0
def inferSeriesId(self, Los=None, datas=None):
if Los != None:
datas = self.cverter.getDatasByLocs(self.messages, Los)
ids = []
for i, data in enumerate(datas):
ids.append(i)
datasBigInt = Converter.bytesToBigInt(datas)
datasLittle = Converter.bytesToLittleInt(datas)
tRate = max(base_analyzer.pearson(ids, datasBigInt),
base_analyzer.pearson(ids, datasLittle))
if (tRate > self.idThreshold):
return 1
else:
return 0
def inferLenAccau(self, Los=None, datas=None):
if Los != None:
datas = self.cverter.getDatasByLocs(self.messages, Los)
lens = []
for msg in self.messages:
if len(msg) > Los[-1]:
lens.append(len(msg) - Los[-1])
else:
lens.append(-1)
datasLenBig = Converter.bytesToBigInt(datas)
datasLittle = Converter.bytesToLittleInt(datas)
acc_big = 0
for i in range(len(datasLenBig)):
if (abs((datasLenBig[i] - lens[i])) <= 1):
acc_big = acc_big + 1
acc_small = 0
for i in range(len(datasLittle)):
if (abs((datasLittle[i] - lens[i])) <= 1):
acc_small = acc_small + 1
if ((acc_small / len(datas)) > self.lengthThreshold
or (acc_big / len(datas)) > self.lengthThreshold):
return 1
else:
return 0
