一、疑似账号被盗
def show1():
with open("../data/KnowledgeGraph/sample1.txt") as f:
G = nx.Graph()
for line in f:
line=line.strip('\n')
uid,ip,tel,activesyncid=line.split(',')
G.add_edge(uid, ip)
G.add_edge(uid, tel)
G.add_edge(uid, activesyncid)
nx.draw(G, with_labels=True, node_size=600)
plt.show()
图示结果如下
二、检测疑似撞库攻击
def show2():
with open("../data/KnowledgeGraph/sample2.txt") as f:
G = nx.Graph()
for line in f:
line=line.strip('\n')
uid,ip,login,ua=line.split(',')
G.add_edge(uid, ip)
G.add_edge(uid, login)
G.add_edge(uid, ua)
nx.draw(G, with_labels=True, node_size=600)
plt.show()
运行结果如下
三、检测疑似刷单
def show3():
G = nx.Graph()
with open("../data/KnowledgeGraph/sample3.txt") as f:
for line in f:
line=line.strip('\n')
hid,uid,app=line.split(',')
G.add_edge(hid, uid)
G.add_edge(hid, app)
f.close()
with open("../data/KnowledgeGraph/sample4.txt") as f:
for line in f:
line=line.strip('\n')
hid,uid,action=line.split(',')
G.add_edge(hid, uid)
G.add_edge(hid, action)
f.close()
nx.draw(G, with_labels=True, node_size=600)
plt.show()
图示如下