unfair
This tool generates a bunch of keystream data from stream ciphers and tracks the distribution of bytes at each position. The idea is to catch biases like those shown in RC4 here: http://www.isg.rhul.ac.uk/tls/biases.pdf
The interface and such is still in flux, but to test a new cipher you will basically add a ciphername_streamer.go file which will have a type for CipherName and implement the interface in main.go.
Usage: unfair -c [-f] [-s] [-l]
chart potential biases in stream cipher keystreams
Options:
-f, --format="html" output format (html or json)
-c, --cipher="" which cipher are we testing?
-s, --samples="1000" how many samples should we take?
-l, --length="256" how many positions in the keystream do we care about?
TODO
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Write script to spin up lots of ec2 spot instances, run this tool and post the resulting .json file to s3
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Make the sample generation parallel, and have it take advantage of all cores on the machine.
I can't even tell if it's doing this at this point. It runs at the same speed on my 4 core machine and an ec2 machine with 36 cores. Slower on a micro instance though.
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Polish up the information on the generated chart page.
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Add the option to import the generated data from one or more json files
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Give the tool a nice little CLI to set options like random key length, number of samples, etc.
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Chart the probability of a byte showing up at a position instead of the number of times that byte showed up.