Advanced
Python
Networking
Data analysis
Advanced Network Analysis
a program that performs advanced network analysis tasks using Python
In this project, you will create a program that performs advanced network analysis tasks using Python. This could include tasks such as analyzing network traffic, detecting network security threats, or analyzing network performance.
Create a Program for Advanced Network Analysis
Requirements
- The ability to capture and analyze network traffic using tools like Wireshark or Tshark
- The ability to detect and analyze network security threats using techniques like packet sniffing and packet analysis
- The ability to analyze network performance using tools like traceroute and ping
- The ability to visualize and interpret network data using libraries like Matplotlib or Seaborn
Bonus
- Can you add a feature that allows users to customize the analysis tasks and parameters?
- Can you add a feature that allows users to save and export the results of the analysis?
Hint
To get started on this project, you may want to familiarize yourself with Python libraries and tools like Scapy, Numpy, and Pandas, which can be used for network analysis and data manipulation. You may also want to consider using a framework like Django or Flask to build a user interface for interacting with the program. Here is some sample code to get you started with capturing and analyzing network traffic using Scapy:
from scapy.all import *
def packet_callback(packet):
if packet[TCP].payload:
mail_packet = str(packet[TCP].payload)
if "user" in mail_packet.lower() or "pass" in mail_packet.lower():
print("Server: %s" % packet[IP].dst)
print("%s" % packet[TCP].payload)
sniff(filter="tcp", prn=packet_callback, store=0)
This code creates a sniffer that captures TCP packets and prints the payload if it contains the strings "user" or "pass". You can then build on this foundation by adding additional analysis and visualization functionality.