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
|
#coding:utf-8
import csv
import networkx as nx
import matplotlib.pyplot as plt
import numpy as np
def csv_dataset(addr,ip):
slow_body1=csv.reader(open('D:\\学习\\mesa\\DDoS图\\数据集1\\%s.csv' %addr,'r'))
slow_body1_DoS={}
slow_body1_normal={}
#norm=0
#DDoS=0
m=0
counter=0
counter1=0
for row in slow_body1:
if(row[5]=='Length'):
continue
tmp_one_packet=[]
if(row[1]==ip):
if((row[3]) not in slow_body1_DoS):
#slow_body1_DoS[(row[3]+":"+row[7])]=[]
counter=0
slow_body1_DoS[(row[3])]=[]
if((counter==0) and (row[4]!='TCP')):
tmp_one_packet.append(120)#包大小
#int(row[5])
tmp_one_packet.append(float(row[2]))#时间
tmp_one_packet.append(row[4])#协议
#slow_body1_DoS[row[3]+':'+row[7]].append(tmp_one_packet)
slow_body1_DoS[row[3]].append(tmp_one_packet)
counter=counter+1
elif(row[4]=='TCP'):
tmp_one_packet.append(int(row[5]))#包大小
tmp_one_packet.append(float(row[2]))#时间
tmp_one_packet.append(row[4])#协议
#slow_body1_DoS[row[3]+':'+row[7]].append(tmp_one_packet)
slow_body1_DoS[row[3]].append(tmp_one_packet)
counter=0
#DDoS=DDoS+1
#if((row[3]+":"+row[7]) not in slow_body1_DoS):
elif(row[3]==ip):
#DDoS=DDoS+1
#if((row[1]+":"+row[6]) not in slow_body1_DoS):
counter=0
if((row[1]) not in slow_body1_DoS):
slow_body1_DoS[(row[1])]=[]
#low_body1_DoS[(row[1]+":"+row[6])]=[]
tmp_one_packet.append(int(row[5])*(-1))#包大小
tmp_one_packet.append(float(row[2]))#时间
tmp_one_packet.append(row[4])#协议
#slow_body1_DoS[row[1]+':'+row[6]].append(tmp_one_packet)
slow_body1_DoS[row[1]].append(tmp_one_packet)
elif(m<50000):
m+=1
#norm=norm+1
'''if(row[1]<row[3]):
#tmp=row[1]+':'+row[6]+' '+row[3]+':'+row[7]#小的定义为client端，大的定义为server端
tmp=row[1]+' '+row[3]'''
if(((row[1]+' '+row[3]) not in slow_body1_normal) and ((row[3]+' '+row[1]) not in slow_body1_normal)):
counter=0
slow_body1_normal[row[1]+' '+row[3]]=[]
a=row[1]+' '+row[3]
b=row[3]+' '+row[1]
if(a in slow_body1_normal.keys()):
tmp_one_packet.append(int(row[5])*(-1))#包大小
tmp_one_packet.append(float(row[2]))#时间
tmp_one_packet.append(row[4])#协议
slow_body1_normal[a].append(tmp_one_packet)
counter1=0
elif(b in slow_body1_normal.keys()):
if((counter1==0) and ('TCP'!=row[4])):
tmp_one_packet.append(120)#包大小
#int(row[5])
tmp_one_packet.append(float(row[2]))#时间
tmp_one_packet.append(row[4])#协议
#slow_body1_DoS[row[3]+':'+row[7]].append(tmp_one_packet)
slow_body1_normal[b].append(tmp_one_packet)
counter1+=1
#tmp=row[3]+':'+row[7]+' '+row[1]+':'+row[6]
elif(row[4]=='TCP'):
tmp_one_packet.append(int(row[5]))#包大小
tmp_one_packet.append(float(row[2]))#时间
tmp_one_packet.append(row[4])#协议
slow_body1_normal[b].append(tmp_one_packet)
counter1=0
else:
print('error %s' %row)
#print('%s——normal:%d' %(addr,norm))
#print('%s——DDoS:%d' %(addr,DDoS))
return slow_body1_DoS,slow_body1_normal#{ip:[size,time,pro],[],ip:[[],[],[]}
#print(slow_body1_normal)
#画图
def main():
lable_dict={}
all_csv_dict={}
addr=['1','2','3','4','5(1)','5(2)','6','7','8','9','10','11','12','13','14',
'15','16','17','18','19','20','21','22','23','24','25','26']
tag=[0,2,4,1,1,3,2,1,2,1,3,1,2,2,2,2,4,3,1,1,3,3,3,3,1,1,2]
#tag=[0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]
t=['slowbody','slowread','ddossim','goldeneye','slowheaders','rudy','hulk','slowloris']
tag=['normal',t[0],t[1],t[2],t[3],t[4],t[5],t[2],t[5],t[6],t[4],t[3],t[0],t[0],t[0],t[5],t[1],t[4],
t[6],t[6],t[7],t[4],t[7],t[4],t[3],t[3],t[6],t[5]]
ip=['75.127.97.72','75.127.97.72','75.127.97.72','75.127.97.72','75.127.97.72',
'74.63.40.21','75.127.97.72','97.74.144.108','208.113.162.153','69.84.133.138',
'67.220.214.50','97.74.144.108','69.192.24.88','97.74.144.108','203.73.24.75',
'97.74.144.108','74.55.1.4','97.74.104.201','74.55.1.4',
'69.192.24.88','97.74.144.108','97.74.144.108',
'75.127.97.72','75.127.97.72','69.192.24.88','75.127.97.72','74.55.1.4']
num_node=40
#for i in range(27):
all_csv_dict[0]=[]
i=2
for i in range(27):
if tag[i] not in all_csv_dict.keys():
all_csv_dict[tag[i]]=[]
DoS,normal=csv_dataset(addr[i],ip[i])
if(DoS!={}):
all_csv_dict[tag[i]].append(DoS)
#print(len(all_csv_dict[1]))
if(normal!={}):
all_csv_dict["normal"].append(normal)
for tags in all_csv_dict.keys():
print(tags)
all_flow=all_csv_dict[tags]
for num in range(len(all_flow)):
slow_body1_DoS=all_flow[num]
for x in slow_body1_DoS.keys():
all_traffic=slow_body1_DoS[x]
num_graph=int(len(all_traffic)/num_node)
#print(num_graph)
last_graph=len(all_traffic)-num_node*num_graph
for y in range(num_graph):
g = nx.Graph()
node_first=0
node_last=0
node_tags = []
node_tags1 = []
node_features = []
x_axis=1
y_axis=[]
y_pos=1
a=0
for z in range(num_node):
traffic=num_node*y+z
g.add_node(z)
if(all_traffic[traffic][2] not in lable_dict ):
lable_dict[all_traffic[traffic][2]]=len(lable_dict)
node_tags.append(lable_dict[all_traffic[traffic][2]])
node_tags1.append(all_traffic[traffic][2])
node_features.append(all_traffic[traffic][0])
if(z>0):#构造图的边
if(all_traffic[traffic][0]*all_traffic[traffic-1][0]>0):
y_pos+=1
#print(1)
g.add_edge(z-1, z,weight=all_traffic[traffic][1]-all_traffic[traffic-1][1])
#nx.draw(g,with_labels=True,pos=nx.circular_layout(g))
#plt.show()
else:
y_axis.append(y_pos)
y_pos=1
x_axis+=1
#print(2)
g.add_edge(z,node_first,weight=all_traffic[traffic][1]-all_traffic[traffic-node_first][1])
#nx.draw(g,with_labels=True,edge_color='r',pos=nx.circular_layout(g))
a=a+1
#plt.show()
if(a>=2):
g.add_edge(node_last,z-1,weight=all_traffic[traffic-1][1]-all_traffic[traffic-node_last][1])
#nx.draw(g,with_labels=True,edge_color='b',pos=nx.circular_layout(g))
node_first=z
node_last=z-1
g.add_edge(z,node_last,weight=all_traffic[traffic][1]-all_traffic[traffic-node_last][1])
y_axis.append(y_pos)
#print(x_axis,y_axis)
y_all=0.5*max(y_axis)
m=0
pos={}
labels={}
colors=[]
for pos_x in range(x_axis):
for pos_y in range(y_axis[pos_x]):
labels[m]=str(node_tags1[m])+"\n"+str(node_features[m])
if(node_features[m]>0):
colors.append('#c56822')
else:
colors.append('#1e76a6')
pos[m]=(pos_x,-y_all/(y_axis[pos_x]+1)*(pos_y+1))
m=m+1
if(tags=='slowread'):
#plt.title('normal')
#else:
plt.figure(figsize=(50,45))
plt.title(tags)
plt.xlim=(0,x_axis)
plt.ylim=(-y_all,0)
'''if node_features != []:
node_features = np.stack(node_features)
node_feature_flag = True
else:
node_features = None
node_feature_flag = False
g_list.append(S2VGraph(g, tag, node_tags))'''
nx.draw(g,
labels=labels, #这个选项让节点有名称
edge_color='black', # b stands for blue!
pos=pos, # 这个是选项选择点的排列方式，具体可以用 help(nx.drawing.layout) 查看
# 主要有spring_layout (default), random_layout, circle_layout, shell_layout
# 这里是环形排布，还有随机排列等其他方式
node_color=colors, # r = red
node_size=1500, # 节点大小
width=1, # 边的宽度
font_color='white'
)
plt.show()
if __name__ == '__main__':
main()
|
