Python实现的DDoS攻击日志分析和事件响应系统

本文介绍如何用Python实现一个DDoS攻击日志分析和事件响应系统。主要分为三部分：日志采集、日志分析和事件响应。

一、日志采集
DDoS攻击的日志一般存储在网关设备上，可以使用Python的paramiko库进行远程连接和文件下载。以下是一个简单的示例代码，用于从网关设备上下载日志文件：

'''
import paramiko

ip = "192.168.1.1"
username = "admin"
password = "password"
remote_path = "/var/log/ddos.log"
local_path = "/logs/ddos.log"

def download_file(ip, username, password, remote_path, local_path):
ssh = paramiko.SSHClient()
ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy())
ssh.connect(ip, username=username, password=password)
sftp = ssh.open_sftp()
sftp.get(remote_path, local_path)
sftp.close()
ssh.close()

download_file(ip, username, password, remote_path, local_path)
'''

二、日志分析
下一步是对DDoS日志进行分析，以确定以下信息：

1. 攻击者的IP地址
2. 受影响的目标IP地址
3. 攻击流量的大小和速率
4. 攻击的类型（例如SYN Flood，UDP Flood等）

以下是一个简单的代码示例，用于解析DDoS攻击日志并提取相关信息：

'''
import re
import datetime

log_file = "/logs/ddos.log"
attacker_ips = {}
target_ips = {}
attacks = {}
attack_types = {"SYN Flood", "UDP Flood"}

with open(log_file) as f:
for line in f:
fields = line.split()
ts = datetime.datetime.strptime(fields[0], "%Y-%m-%d %H:%M:%S")
attacker_ip = fields[1]
target_ip = fields[2]
bytes = int(fields[3])
if attacker_ip not in attacker_ips:
attacker_ips[attacker_ip] = []
attacker_ips[attacker_ip].append(bytes)
if target_ip not in target_ips:
target_ips[target_ip] = []
target_ips[target_ip].append(bytes)
if bytes > 1000000:
if target_ip not in attacks:
attacks[target_ip] = {}
if attacker_ip not in attacks[target_ip]:
attacks[target_ip][attacker_ip] = 0
attacks[target_ip][attacker_ip] += bytes

for target_ip, attackers in attacks.items():
for attacker_ip, bytes in attackers.items():
attack_types.add("Unknown")
for attack_type in attack_types:
if attack_type.lower() in line.lower():
attack_types.remove(attack_type)
print("{0} attacked {1} using {2} with {3} bytes".format(
attacker_ip, target_ip, attack_types[0], bytes))
'''

三、事件响应
最后一步是对DDoS攻击事件做出响应。以下是一个伪代码示例，用于根据攻击事件的严重性发出通知：

'''
for target_ip, attackers in attacks.items():
for attacker_ip, bytes in attackers.items():
attack_types.add("Unknown")
for attack_type in attack_types:
if attack_type.lower() in line.lower():
attack_types.remove(attack_type)
severity = bytes / 1000000
if severity > 20:
send_email("DDoS attack detected", "A DDoS attack was detected on {0} from {1} using {2} with {3} bytes".format(target_ip, attacker_ip, attack_types[0], bytes))
elif severity > 10:
send_sms("DDoS attack detected", "A DDoS attack was detected on {0} from {1} using {2} with {3} bytes".format(target_ip, attacker_ip, attack_types[0], bytes))
else:
log_event("DDoS attack detected", "A DDoS attack was detected on {0} from {1} using {2} with {3} bytes".format(target_ip, attacker_ip, attack_types[0], bytes))
'''

总结
在本文中，我们介绍了如何用Python实现一个DDoS攻击日志分析和事件响应系统。这个系统可以用于在攻击发生时自动检测和响应DDoS攻击。为了完善这个系统，还可以增加计费和自动黑名单等功能。