update readme

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xenia 2021-06-05 13:36:49 -04:00
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# clocktower
meow meow meow
clocktower is a python package implementing efficient strategies for executing adaptive timing side
channel attacks. the goal is to use statistics to guide public input guesses in order to reveal the
secret with a given level of statistical significance in a minimum number of rounds. the current
strategy already significantly outperforms the naive non-adaptive strategy, and thus can be used as
a framework for mounting attacks
## howto
currently the model is that a correct guess will result in a longer time taken to execute, and all
incorrect guesses will take the same (lower) time to execute
more abstraction is planned for different target models
```
import clocktower
# default input space: 0-255
# default significance level: 0.01
mgr = clocktower.ClocktowerManager()
# when next_guess() returns None, the algoritm has a statistically significant answer
while (guess := mgr.next_guess()) is not None:
# execute the guess and get the result
timing_value = run_attack(guess)
mgr.update(guess, timing_value)
print(mgr.get_best_guess())
```

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from typing import Dict, List, Optional, Tuple
from typing import Dict, Optional, Tuple
import numpy as np
# import numpy.typing as npt

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setup(
name='clocktower',
version='0.1',
description='Sample text',
description='optimal adaptive timing side channel attacks',
long_description=long_description,
long_description_content_type='text/markdown',
url='https://awoo.systems',