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Ben
2022-06-24 14:18:07 +01:00
parent d1e3c866aa
commit 6904ccfeff
1 changed files with 15 additions and 12 deletions
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27
generate_data.py
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@@ -14,7 +14,7 @@ def old_models(security_level, sd, logq=32):
"""
def evaluate_model(a, b, stddev=sd):
return (stddev - b)/a
return (stddev - b) / a
models = dict()
@@ -102,9 +102,11 @@ def automated_param_select_n(params, target_security=128):
security_level = get_security_level(costs2, 2)
z = inequality(security_level, target_security)
# we keep n > 2 * target_security as a rough baseline for mitm security (on binary key guessing)
# we keep n > 2 * target_security as a rough baseline for mitm security
# (on binary key guessing)
while z * security_level < z * target_security:
# TODO: fill in this case! For n > 1024 we only need to consider every 256 (optimization)
# TODO: fill in this case! For n > 1024 we only need to consider every
# 256 (optimization)
params = params.updated(n=params.n + z * 8)
costs = estimate(params)
security_level = get_security_level(costs, 2)
@@ -121,12 +123,11 @@ def automated_param_select_n(params, target_security=128):
costs = estimate(params)
security_level = get_security_level(costs, 2)
print("the finalised parameters are n = {}, log2(sd) = {}, log2(q) = {}, with a security level of {}-bits".format(params.n,
log2(
params.Xe.stddev),
log2(
params.q),
security_level))
print(
"the finalised parameters are n = {}, log2(sd) = {}, log2(q) = {}, with a security level of {}-bits".format(
params.n, log2(
params.Xe.stddev), log2(
params.q), security_level))
if security_level < target_security:
params.updated(n=None)
@@ -134,7 +135,8 @@ def automated_param_select_n(params, target_security=128):
return params, security_level
def generate_parameter_matrix(params_in, sd_range, target_security_levels=[128], name="default_name"):
def generate_parameter_matrix(params_in, sd_range, target_security_levels=[
128], name="default_name"):
"""
:param params_in: a initial set of LWE parameters
:param sd_range: a tuple (sd_min, sd_max) giving the values of sd for which to generate parameters
@@ -152,7 +154,7 @@ def generate_parameter_matrix(params_in, sd_range, target_security_levels=[128],
try:
results = load("{}.sobj".format(name))
except:
except BaseException:
results = dict()
results["{}".format(lam)] = []
@@ -163,7 +165,8 @@ def generate_parameter_matrix(params_in, sd_range, target_security_levels=[128],
return results
def generate_zama_curves64(sd_range=[2, 58], target_security_levels=[128], name="default_name"):
def generate_zama_curves64(sd_range=[2, 58], target_security_levels=[
128], name="default_name"):
"""
The top level function which we use to run the experiment