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
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
|
from parseEml import parseEml
import os
import re
from shutil import copyfile
def extract_node_edge(email_path):
# 节点类型:0:sender domain;1:inter domain;2:IP;3:client
# 边类型:0:sender domain-inter domain;1:inter domain-IP或者IP-inter domain;
# 边类型:2:sender domain-message id domain; 3:sender domain-x_mailer; 4:sender domain-dkim domain
# inter_node_list[每跳域名、IP为一个set]
node_list=set()
edge_list=[]
mail=parseEml(email_path)
raw_node_list=mail.get_from_host_list()
raw_node_list.insert(0,mail.get_from())
# print(raw_node_list)
inter_node_list=[]
sender_domain=None
for node in raw_node_list:
if '@' in node:
node=node.split('@')[-1]
if '>' in node:
node=node.split(">")[0]
if ')' in node:
node = node.split(")")[0]
if ',' in node:
node=node.replace(","," ")
sender_domain=node
# if "kennadi" in sender_domain:
# print(email_path)
node_list.add(node+",0")
else:
inter_domain_ip=set()
inter_nodes=re.findall(r'[-a-zA-Z0-9]+\.[\.\w-]+',node)
# inter_nodes=re.findall(r'\d+(\.\d+){1,}',node)
if len(inter_nodes)!=0:
for inter_node in inter_nodes:
if len(re.findall(r'[-a-zA-Z]',inter_node)):
domain_sets = inter_node.split(".")
if len(domain_sets) > 2:
inter_node = ".".join(domain_sets[1:])
if sender_domain:
edge_list.append(sender_domain+","+inter_node+",0")#发件域到中间域的边
inter_domain_ip.add(inter_node)
node_list.add(inter_node + ",1")
else:
inter_domain_ip.add(inter_node)
node_list.add(inter_node+",2")
if len(inter_domain_ip):
inter_node_list.append(inter_domain_ip)
# print(node_list)
print(sender_domain)
print(inter_node_list)
for domain_ip_set in inter_node_list:
if len(domain_ip_set) > 1:
domain_ip_list=list(domain_ip_set)
for i in range(0,len(domain_ip_list)-1):
for j in range(i+1,len(domain_ip_list)):
edge_list.append(domain_ip_list[i]+","+domain_ip_list[j]+",1")
print(edge_list)
return node_list,edge_list
def extract_sender_and_received(email_folder,node_file,edge_file):
with open(node_file, 'a+') as f:
f.write('index,name,type\n')
with open(edge_file,'a+') as edge_f:
edge_f.write('node1,node2,type\n')
node_list=set()
files = os.listdir(email_folder)
for file in files: # 遍历文件夹
if file == "duplicate":
continue
nodes,edges=extract_node_edge(email_folder + "/" + file)
node_list.update(nodes)
with open(edge_file,'a+') as edge_f:
for edge in edges:
edge_f.write(edge+"\n")
with open(node_file, 'a+',encoding="utf-8") as f:
i=0
for node in node_list:
node=str(i)+','+node
f.write(node+"\n")
i+=1
def extract_domain_from_address(fromname):
sender_domain=None
if '@' in fromname:
sender_domain = fromname.split('@')[-1]
if '>' in sender_domain:
sender_domain = sender_domain.split(">")[0]
if ')' in sender_domain:
sender_domain = sender_domain.split(")")[0]
if ',' in sender_domain:
sender_domain = sender_domain.replace(",", " ")
return sender_domain
def add_message_id_edge(email_folder,edge_file):
files = os.listdir(email_folder)
for file in files: # 遍历文件夹
if file == "duplicate":
continue
mail = parseEml(email_folder+"/"+file)
fromname = mail.get_from()
message_id=mail.get_message_id()
if '@' in fromname:
sender_domain = fromname.split('@')[-1]
if '>' in sender_domain:
sender_domain = sender_domain.split(">")[0]
if ')' in sender_domain:
sender_domain = sender_domain.split(")")[0]
if message_id != None:
message_id_domain=message_id.split('@')[-1]
message_id_domain=message_id_domain.split(">")[0]
if sender_domain != message_id_domain and sender_domain:
with open(edge_file, 'a+',encoding='utf-8') as edge_f:
edge_f.write(sender_domain+","+message_id_domain+",2\n")
def add_x_mailer_edge(email_folder,edge_file):
files = os.listdir(email_folder)
for file in files: # 遍历文件夹
if file == "duplicate":
continue
mail = parseEml(email_folder+"/"+file)
fromname = mail.get_from()
x_mailer=mail.get_x_mailer()
if x_mailer:
x_mailer=x_mailer.replace("\n","")
x_mailer=x_mailer.replace(",","")
if '@' in fromname:
sender_domain = fromname.split('@')[-1]
if '>' in sender_domain:
sender_domain = sender_domain.split(">")[0]
if ')' in sender_domain:
sender_domain = sender_domain.split(")")[0]
if x_mailer != None and sender_domain:
with open(edge_file, 'a+',encoding="utf-8") as edge_f:
edge_f.write(sender_domain+","+x_mailer+",3\n")
def add_dkim_edge(email_folder,edge_file):
files = os.listdir(email_folder)
for file in files: # 遍历文件夹
if file == "duplicate":
continue
mail = parseEml(email_folder+"/"+file)
fromname = mail.get_from()
dkim_signature=mail.get_dkim()
if dkim_signature:
dkim_signature=dkim_signature.replace("\n\t","")
dkim_domains=re.findall(r'd=(.+?);',dkim_signature)
if len(dkim_domains)==0:
# dkim_domain=dkim_domains[0]
print(dkim_signature)
else:
dkim_domain=dkim_domains[0]
if '@' in fromname:
sender_domain = fromname.split('@')[-1]
if '>' in sender_domain:
sender_domain = sender_domain.split(">")[0]
if ')' in sender_domain:
sender_domain = sender_domain.split(")")[0]
if sender_domain and sender_domain != dkim_domain:
with open(edge_file, 'a+', encoding="utf-8") as edge_f:
edge_f.write(sender_domain + "," + dkim_domain + ",4\n")
import csv
def add_nodes(node_file,edge_file,new_node_file):
nodes_set=set()
# 逐行读取csv文件
with open(node_file, 'r', encoding="utf-8") as csvfile:
nodes = csv.DictReader(csvfile)
for node in nodes:
nodes_set.add(node["name"]+","+node["type"])
with open(edge_file, 'r', encoding="utf-8") as edgefile:
edges=csv.DictReader(edgefile)
for edge in edges:
if edge["type"]=='2' or edge["type"]=='4':
nodes_set.add(edge["node2"]+","+str(1))
else:
nodes_set.add(edge["node2"]+","+str(3))
with open(new_node_file, 'a+',encoding="utf-8") as f:
f.write('index,name,type\n')
i = 0
for new_node in nodes_set:
new_node = str(i) + ',' + new_node
f.write(new_node + "\n")
i += 1
def is_ip(str):
domain_and_ip=re.findall(r'[-a-zA-Z0-9]+\.[\.\w-]+',str)
domain=re.findall(r'[-a-zA-Z-]',str)
if len(domain_and_ip) and (len(domain)==0):
nums=str.split(".")
if len(nums)==4:
return True
return False
import pandas as pd
def nodes_to_index(node_file,edge_file,new_edge_file):
nodes=pd.read_csv(node_file,encoding='utf-8')
edge_list=[]
with open(edge_file, 'r', encoding="utf-8") as edgefile:
edges = csv.DictReader(edgefile)
for edge in edges:
if edge['type']=='0':
print("hi:"+edge['node1'])
node1_index=nodes[(nodes['name']==edge['node1']) & (nodes['type']==0)].index.tolist()[0]
node2_index=nodes[(nodes['name']==edge['node2']) & (nodes['type']==1)].index.tolist()[0]
elif edge['type']=='1':#注意区分域名和IP
if is_ip(edge['node1']):
node1_index=nodes[(nodes['name']==edge['node1']) & (nodes['type']==2)].index.tolist()[0]
else:
print(edge["node1"])
node1_index=nodes[(nodes['name']==edge['node1']) & (nodes['type']==1)].index.tolist()[0]
if is_ip(edge['node2']):
print(edge["node2"])
node2_index=nodes[(nodes['name']==edge['node2']) & (nodes['type']==2)].index.tolist()[0]
else:
node2_index=nodes[(nodes['name']==edge['node2']) & (nodes['type']==1)].index.tolist()[0]
elif edge['type']=='2' or edge['type'] == '4':
node1_index = nodes[(nodes['name'] == edge['node1']) & (nodes['type'] == 0)].index.tolist()[0]
node2_index = nodes[(nodes['name'] == edge['node2']) & (nodes['type'] == 1)].index.tolist()[0]
elif edge['type']=='3':
node1_index = nodes[(nodes['name'] == edge['node1']) & (nodes['type'] == 0)].index.tolist()[0]
node2_index = nodes[(nodes['name'] == edge['node2']) & (nodes['type'] == 3)].index.tolist()[0]
edge_list.append(str(node1_index)+","+str(node2_index)+","+str(edge['type']))
with open(new_edge_file, 'a+', encoding="utf-8") as f:
for new_edge in edge_list:
f.write(new_edge + "\n")
def nodes_to_index_mes_id(node_file,edge_file,new_edge_file):
nodes=pd.read_csv(node_file,encoding='utf-8')
edge_list=[]
with open(edge_file, 'r', encoding="utf-8") as edgefile:
edges = csv.DictReader(edgefile)
for edge in edges:
print(edge["node1"])
node1_index=nodes[(nodes['name']==edge['node1']) & (nodes['type']==0)].index.tolist()[0]
if edge['type']=='2' or edge['type'] == '4':
node2_index=nodes[(nodes['name']==edge['node2']) & (nodes['type']==1)].index.tolist()[0]
elif edge['type']=='3':
node2_index = nodes[(nodes['name'] == edge['node2']) & (nodes['type'] == 3)].index.tolist()[0]
edge_list.append(str(node1_index)+","+str(node2_index)+","+str(edge['type']))
with open(new_edge_file, 'w', encoding="utf-8") as f:
for new_edge in edge_list:
f.write(new_edge + "\n")
# 使用 graphviz创建元图.
# import pygraphviz as pgv
import json
def plot_graph(node_file,edge_file_fraud,edge_file_legi):
ag = pgv.AGraph(strict=False, directed=False,rankdir="LR")
with open(edge_file_fraud, 'r', encoding="utf-8") as edgefile_fraud:
reader=csv.reader(edgefile_fraud)
edges_fraud=[" ".join(row) for row in reader]
edge_count_fraud=pd.value_counts(edges_fraud).to_dict()
with open(edge_file_legi, 'r', encoding="utf-8") as edgefile_legi:
reader1=csv.reader(edgefile_legi)
edges_legi=[" ".join(row) for row in reader1]
edge_count_legi=pd.value_counts(edges_legi).to_dict()
with open(node_file, 'r', encoding="utf-8") as nodefile:
nodes = csv.DictReader(nodefile)
for node in nodes:
if node["type"] == '0':
ag.add_node(node["index"], label=node["name"], shape="box", color="blue")
# ag.add_node(node["index"], shape="box",color="blue")
# ag.add_node(node["index"], shape="point", color="blue")
elif node["type"] == '1':
ag.add_node(node["index"], label=node["name"], shape="ellipse")
# ag.add_node(node["index"], shape="ellipse")
# ag.add_node(node["index"], shape="point",color="green")
elif node["type"] == '2':
ag.add_node(node["index"], shape="point")
else:
ag.add_node(node["index"], label=node["name"], shape="diamond")
# ag.add_node(node["index"], shape="diamond")
# ag.add_node(node["index"], shape="point", color="purple")
for key in edge_count_fraud:
edge_param=key.split(" ")
ag.add_edge(edge_param[0],edge_param[1],label=edge_count_fraud[key],color="red")
for key in edge_count_legi:
edge_param=key.split(" ")
ag.add_edge(edge_param[0], edge_param[1], label=edge_count_legi[key])
ag.layout('dot')
ag.draw('graph_dot.svg')
def select_legi_emails(email_folder):
files = os.listdir(email_folder)
i=0
for file in files: # 遍历文件夹
if i<2483:
copyfile(email_folder + "/" + file,"datacon_1_legi_train/"+file)
if i>=2483 and i < 3725:
copyfile(email_folder + "/" + file,"datacon_1_legi_val/"+file)
if i>=3725:
copyfile(email_folder + "/" + file,"datacon_1_legi_test/"+file)
i += 1
def merge_node(node_file1,node_file2,new_node_file):
#合并两个node文件,统一索引
nodes_set = set()
# 逐行读取csv文件
with open(node_file1, 'r', encoding="utf-8") as csvfile:
nodes = csv.DictReader(csvfile)
for node in nodes:
nodes_set.add(node["name"] + "," + node["type"])
with open(node_file2, 'r', encoding="utf-8") as nodefile2:
nodes2 = csv.DictReader(nodefile2)
for node2 in nodes2:
nodes_set.add(node2["name"] + "," + node2["type"])
with open(new_node_file, 'a+', encoding="utf-8") as f:
f.write('index,name,type\n')
i = 0
for new_node in nodes_set:
new_node = str(i) + ',' + new_node
f.write(new_node + "\n")
i += 1
import json
def _str2tuple(key):
# 注意python切片 左开右闭 的性质
fore = int(key[1:2])
back = key[5: -2]
return tuple([fore, back])
def one_email_to_graph(email_path,node_file,edge_file):
with open(node_file, 'r',encoding='UTF-8') as node_f:
node_dict = json.load(node_f)
node_dict = json.loads(node_dict)
node_dict = {_str2tuple(k): node_dict[k] for k in node_dict}
edge_list = []
mail = parseEml(email_path)
raw_node_list = mail.get_from_host_list()
raw_node_list.insert(0, mail.get_from())
# print(raw_node_list)
inter_node_list = []
sender_domain = None
for node in raw_node_list:
if '@' in node:
node = node.split('@')[-1]
if '>' in node:
node = node.split(">")[0]
if ')' in node:
node = node.split(")")[0]
if ',' in node:
node = node.replace(",", " ")
sender_domain = node
if "monkey.org\n" in sender_domain:
print(email_path)
if (0,node) not in node_dict:
node_dict[(0,node)]=len(node_dict)
else:
inter_domain_ip = set()
inter_nodes = re.findall(r'[-a-zA-Z0-9]+\.[\.\w-]+', node)
# inter_nodes=re.findall(r'\d+(\.\d+){1,}',node)
if len(inter_nodes) != 0:
for inter_node in inter_nodes:
if len(re.findall(r'[-a-zA-Z]', inter_node)):
domain_sets = inter_node.split(".")
if len(domain_sets) > 2:
inter_node = ".".join(domain_sets[1:])
if (1, inter_node) not in node_dict:
node_dict[(1, inter_node)] = len(node_dict)
if sender_domain:
edge_list.append(str(node_dict[(0,sender_domain)]) + "," + str(node_dict[(1,inter_node)]) + ",0") # 发件域到中间域的边
inter_domain_ip.add((1,inter_node))
else:
inter_domain_ip.add((2,inter_node))
if (2, inter_node) not in node_dict:
node_dict[(2, inter_node)] = len(node_dict)
if len(inter_domain_ip):
inter_node_list.append(inter_domain_ip)
# print(node_list)
# print(sender_domain)
# print(inter_node_list)
for domain_ip_set in inter_node_list:
if len(domain_ip_set) > 1:
domain_ip_list = list(domain_ip_set)
for i in range(0, len(domain_ip_list) - 1):
for j in range(i + 1, len(domain_ip_list)):
edge_list.append(str(node_dict[domain_ip_list[i]]) + "," + str(node_dict[domain_ip_list[j]]) + ",1")
print(edge_list)
#message-id
message_id = mail.get_message_id()
if message_id != None:
message_id_domain = message_id.split('@')[-1]
message_id_domain = message_id_domain.split(">")[0]
if sender_domain != message_id_domain and sender_domain:
if (1,message_id_domain ) not in node_dict:
node_dict[(1, message_id_domain)] = len(node_dict)
edge_list.append(str(node_dict[(0,sender_domain)]) + "," + str(node_dict[(1,message_id_domain)]) + ",2")
#x-mailer
x_mailer = mail.get_x_mailer()
if x_mailer:
x_mailer = x_mailer.replace("\n", "")
x_mailer = x_mailer.replace(",", "")
if x_mailer != None and sender_domain:
if (3, x_mailer) not in node_dict:
node_dict[(3, x_mailer)] = len(node_dict)
edge_list.append(str(node_dict[(0, sender_domain)]) + "," + str(node_dict[(3, x_mailer)]) + ",3")
#dkim-domain
dkim_signature = mail.get_dkim()
if dkim_signature:
dkim_signature = dkim_signature.replace("\n\t", "")
dkim_domains = re.findall(r'd=(.+?);', dkim_signature)
if len(dkim_domains) == 0:
# dkim_domain=dkim_domains[0]
print(dkim_signature)
else:
dkim_domain = dkim_domains[0]
if sender_domain and sender_domain != dkim_domain:
if (1, dkim_domain) not in node_dict:
node_dict[(1, dkim_domain)] = len(node_dict)
edge_list.append(str(node_dict[(0, sender_domain)]) + "," + str(node_dict[(1, dkim_domain)]) + ",4")
with open(node_file, 'w', encoding="utf-8") as f:
node_dict=json.dumps({str(k):node_dict[k] for k in node_dict})
json.dump(node_dict,f)
with open(edge_file,'a+',encoding="utf-8") as edge_f:
for edge in edge_list:
edge_f.writelines(edge)
edge_f.writelines("\n")
def email_batch_to_graph(email_folder,node_file,edge_file):
node_list = set()
with open(node_file, 'r', encoding="utf-8") as csvfile:
nodes = csv.DictReader(csvfile)
for node in nodes:
node_list.add(node["name"]+","+node["type"])
files = os.listdir(email_folder)
for file in files: # 遍历文件夹
if file == "duplicate":
continue
nodes, edges = one_email_to_edges(email_folder + "/" + file)
node_list.update(nodes)
with open(edge_file, 'a+', encoding="utf-8") as edge_f:
for edge in edges:
edge_f.write(edge + "\n")
with open(node_file, 'w', encoding="utf-8") as f:
f.write("index,name,type\n")
i = 0
for node in node_list:
node = str(i) + ',' +node
f.write(node + "\n")
i += 1
def one_email_to_edges(email_path):
node_set=set()
edge_list = []
mail = parseEml(email_path)
raw_node_list = mail.get_from_host_list()
if raw_node_list == None:
raw_node_list=[]
if mail.get_from() != None:
# print(mail.get_from())
raw_node_list.insert(0, mail.get_from())
# print(raw_node_list)
inter_node_list = []
sender_domain = None
for node in raw_node_list:
if '@' in node:
node = node.split('@')[-1]
if '>' in node:
node = node.split(">")[0]
if ')' in node:
node = node.split(")")[0]
if ',' in node:
node = node.replace(",", " ")
if '\n' in node:
node = node.replace("\n"," ")
sender_domain = node
# if "\n" in sender_domain:
# print(email_path)
node_set.add(node+",0")
else:
inter_domain_ip = set()
inter_nodes = re.findall(r'[-a-zA-Z0-9]+\.[\.\w-]+', node)
# inter_nodes=re.findall(r'\d+(\.\d+){1,}',node)
if len(inter_nodes) != 0:
for inter_node in inter_nodes:
if len(re.findall(r'[-a-zA-Z]', inter_node)):
domain_sets = inter_node.split(".")
if len(domain_sets) > 2:
inter_node = ".".join(domain_sets[1:])
node_set.add(inter_node+",1")
if sender_domain:
edge_list.append(sender_domain + "," + inter_node + ",0") # 发件域到中间域的边
inter_domain_ip.add((1,inter_node))
else:
inter_domain_ip.add((2,inter_node))
node_set.add(inter_node+",2")
if len(inter_domain_ip):
inter_node_list.append(inter_domain_ip)
# print(node_list)
# print(sender_domain)
# print(inter_node_list)
for domain_ip_set in inter_node_list:
if len(domain_ip_set) > 1:
domain_ip_list = list(domain_ip_set)
for i in range(0, len(domain_ip_list) - 1):
for j in range(i + 1, len(domain_ip_list)):
edge_list.append(domain_ip_list[i][1] + "," + domain_ip_list[j][1] + ",1")
# print(edge_list)
#message-id
message_id = mail.get_message_id()
if message_id != None:
message_id_domain = message_id.split('@')[-1]
message_id_domain = message_id_domain.split(">")[0]
if sender_domain != message_id_domain and sender_domain:
node_set.add(message_id_domain+",1")
edge_list.append(sender_domain + "," + message_id_domain + ",2")
#x-mailer
x_mailer = mail.get_x_mailer()
if x_mailer:
x_mailer = x_mailer.replace("\n", "")
x_mailer = x_mailer.replace(",", "")
if x_mailer != None and sender_domain:
node_set.add(x_mailer+",3")
edge_list.append(sender_domain + "," + x_mailer + ",3")
#dkim-domain
dkim_signature = mail.get_dkim()
if dkim_signature:
dkim_signature = dkim_signature.replace("\n\t", "")
dkim_domains = re.findall(r'd=(.+?);', dkim_signature)
if len(dkim_domains) == 0:
# dkim_domain=dkim_domains[0]
print(dkim_signature)
else:
dkim_domain = dkim_domains[0]
if sender_domain and sender_domain != dkim_domain:
node_set.add(dkim_domain+",1")
edge_list.append(sender_domain + "," + dkim_domain + ",4")
return node_set,edge_list
def split_training_nodes(node_file,edge_file):
node_dataframe_all=pd.read_csv(node_file,encoding="utf-8")
edge_dataframe_all=pd.read_csv(edge_file,encoding="utf-8")
nodes_list=edge_dataframe_all["node1"].tolist()
nodes_list+=edge_dataframe_all["node2"].tolist()
nodes_set=set(nodes_list)
print(len(nodes_set))
training_nodes=node_dataframe_all[node_dataframe_all["index"].isin(nodes_list)]
# training_nodes.to_csv("training_nodes.csv",index=False)
def add_testing_nodes(node_file1,node_file2,added_nodes_file):
nodes_set = set()
new_node_dict={}
# 逐行读取csv文件
with open(node_file1, 'r', encoding="utf-8") as nodefile1:
nodes = csv.DictReader(nodefile1)
for node in nodes:
training_node=node["name"] + "," + node["type"]
# if training_node in nodes_set:
# print(training_node)
nodes_set.add(training_node)
with open(node_file2, 'r', encoding="utf-8") as nodefile2:
nodes2 = csv.DictReader(nodefile2)
for node2 in nodes2:
test_node=node2["name"]+","+node2["type"]
if test_node in nodes_set:
continue
new_node_dict[len(nodes_set)]=test_node
nodes_set.add(test_node)
with open(added_nodes_file, 'w', encoding="utf-8") as f:
f.write("index,name,type\n")
for key in new_node_dict:
node = str(key) + ',' +new_node_dict[key]
f.write(node + "\n")
if __name__ == "__main__":
# select_legi_emails("datacon_1_legitimate")
# extract_sender_and_received("datacon_1_fraud","datacon_fraud_graph/nodes.csv","datacon_fraud_graph/edges.csv")
# add_message_id_edge("datacon_1_fraud","datacon_fraud_graph/edges_other.csv")
# add_x_mailer_edge("datacon_1_fraud","datacon_fraud_graph/edges_other.csv")
# add_dkim_edge("datacon_1_fraud","datacon_fraud_graph/edges_other.csv")
# add_nodes("datacon_fraud_graph/nodes.csv","datacon_fraud_graph/edges_other.csv","datacon_fraud_graph/nodes_all.csv")
# merge_node("datacon_legitimate_graph/nodes_all.csv","all_nodes.csv","all_nodes1.csv")
# nodes_to_index("all_nodes.csv","legi_edges_testing.csv","legi_edges_testing_index_only.csv")
# nodes_to_index_mes_id("all_nodes.csv","datacon_legitimate_graph/edges_other.csv","datacon_legitimate_graph/edges_index_only.csv")
# plot_graph("all_nodes.csv","fraud_edges_index_only.csv","datacon_legitimate_graph/legi_edges_index_only.csv")
# one_email_to_graph("nazario_phishing_2020/2.eml","all_nodes.json","all_edges.csv")
email_batch_to_graph("benign_emails","all_nodes1.csv","benign_edges.csv")
# split_training_nodes("all_nodes.csv","edges_training_index_only.csv")
# add_testing_nodes("training_nodes1.csv","testing_nodes.csv","indexed_testing_nodes.csv")
|