thijsvanede / appscanner Goto Github PK
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License: MIT License
Implementation of AppScanner
License: MIT License
Hello :)
I got the following error when using Appscanner's Preprocessor
class with some pcaps:
preprocessor = Preprocessor(verbose = True)
X, y = preprocessor.process(files = pcaps,
labels = labels)
{...}
65 # Add length of packet to flow
---> 66 result[key] = result.get(key, []) + [length]
67
68 # Convert lengths to numpy array.
TypeError: unhashable type: 'EDecimal'
Investigating the code I could see that EDecimal is a type from scapy lib. I corrected this error just by adding a float type casting to line 66 of reader.py
data = [float(packet.time),
int(ipaddress.ip_address(packet["IP"].src)),
int(ipaddress.ip_address(packet["IP"].dst)),
packet["TCP"].sport,
packet["TCP"].dport,
packet["IP"].len]
I'm using Scapy Version 2.4.4
Hello. Your project is nice and I'd like to use it for my reproducing work. But when I look at the source code, it seems that the feature extractor does not apply a min-max scaler to the output feature, which was introduced in the AppScanner original paper?
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