Brice Colombier / Side-channel traces preprocessing

Authored by Brice COLOMBIER over 2 years ago

Exists in master

Showing 3 changed files with 15 additions and 10 deletions

1	1	import numpy as np
	2	+
2	3	import argparse
	4	+import os
3	5
4	6	def downsample(traces, factor, offset=0):
5	7	return traces[:,offset::factor]
6	8
7	9
8	10
9	11
...	...	@@ -9,20 +11,20 @@
9	11	# Parsing arguments
10	12	parser = argparse.ArgumentParser(description='Preprocess traces')
11	13	parser.add_argument("traces_name", type=str)
12		- parser.add_argument("factor", type=int)
13		- parser.add_argument("offset", type=int, nargs='?', default=0)
	14	+ parser.add_argument("--factor", type=int)
	15	+ parser.add_argument("--offset", type=int, nargs='?', default=0)
14	16	args = parser.parse_args()
15	17
16	18	fake_nb_samples = 10
17	19	fake_nb_traces = 2
18	20
19	21	test_array = np.random.random_integers(10, size=(fake_nb_traces, fake_nb_samples))
20		- traces = test_array
	22	+ # traces = test_array
21	23	# Load traces from file
22		- # traces = np.load(args.traces_name)
	24	+ traces = np.load(args.traces_name)
23	25
24		- print traces
25	26	downsampled_traces = downsample(traces, args.factor, args.offset)
26		- print downsampled_traces
	27	+
	28	+ print os.path(args.traces)
27	29	np.save("downsampled_"+str(args.factor)+"_"+args.traces_name, downsampled_traces)

...	...	@@ -40,11 +40,11 @@
40	40	# Load traces from file
41	41	# traces = np.load(args.traces_name)
42	42
43		- print traces
	43	+ dirname, filename = os.path.split(args.traces_name)
44	44	if args.ratio:
45	45	filtered_variance_traces = filter_highest_variance(traces, ratio=args.ratio)
	46	+ np.save(dirname+"filtered_variance_"+str(args.ratio)+"_"+filename, filtered_variance_traces)
46	47	elif args.nsamples:
47	48	filtered_variance_traces = filter_highest_variance(traces, nsamples=args.nsamples)
48		- print filtered_variance_traces
49		- np.save("filtered_variance_"+str(args.ratio)+"_"+args.traces_name, filtered_variance_traces)
	49	+ np.save(dirname+"filtered_variance_"+str(args.nsamples)+"_"+filename, filtered_variance_traces)

...	...	@@ -157,5 +157,7 @@
157	157	if np.all(preprocessed_traces.sort()==preprocessed_traces_parallel.sort()):
158	158	if np.all(indexes.sort()==indexes_parallel.sort()):
159	159	print "###\nGreat, sequential and\nparallel processing\nreturned the same result\n###"
160		- np.save("preprocessed_"+args.traces_name, preprocessed_traces_parallel)
	160	+
	161	+ dirname, filename = os.path.split(args.traces_name)
	162	+ np.save(dirname+"pairwise_"+args.operation+"_"+filename, preprocessed_traces_parallel)