1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
|
# 输入一系列pcap和pcap对应的标签，输出一个dataframe格式的csv
from time import time
from configparser import ConfigParser
from multiprocessing import cpu_count
import pandas as pd
import sys
import os
from concurrent.futures import ThreadPoolExecutor
from threading import Lock
import re
lock = Lock()
pcap_name_complier = re.compile(".*/(?P<domain>.*)_(?P<doh_uri>.*)_(?P<browser>.*)_(?P<time>.*)\.pcap")
def multi_write(input_filename, id):
match_result = pcap_name_complier.match(input_filename)
if match_result:
domain = match_result["domain"]
doh_uri = match_result["doh_uri"]
browser = match_result["browser"]
else:
domain = None
doh_uri = None
browser = None
lengths, time_lags, directions = trans_pcap_to_row(input_filename)
if len(lengths) == 0 or sum(time_lags) < 1e-7:
return
flow_serial = [lengths[i] * directions[i] for i in range(len(lengths))]
time_serial = [time_lags[i] * directions[i] for i in range(len(time_lags))]
features = extract_statistic_feature(lengths, time_lags, directions)
lock.acquire()
df.loc[id] = [domain, doh_uri, browser, flow_serial, time_serial, features]
lock.release()
def run(input_filepath):
files = os.listdir(input_filepath)
with ThreadPoolExecutor(max_workers=30) as thread_pool:
id = 0
for i in range(len(files)):
file = files[i]
full_file = os.path.join(input_filepath, file)
if not full_file.endswith(".pcap"):
continue
# multi_write(full_file, id)
thread_pool.submit(multi_write, full_file, id)
id += 1
print(id)
if __name__ == "__main__":
# input_filepath = sys.argv[1]
# print(input_filepath)
# output_filename = sys.argv[2]
input_filepath = "E:\\doh&web\\201102\\win10\\web_traffic_after_predeal"
output_filename = "./result/web_feature_2.csv"
start_time = time()
df = pd.DataFrame(columns=["domain", "doh_uri", "browser", "flow_serial", "time_serial", "features"])
run(input_filepath)
df.to_csv(output_filename)
end_time = time()
print("总耗时：", end_time - start_time)
|
