Skip to content

Real-Time Network Traffic Analyzer with Anomaly Detection #9

@Ankurdeewan

Description

@Ankurdeewan

Build a script that captures live network traffic and analyzes it in real-time for suspicious patterns. The goal is to act like a simplified IDS (Intrusion Detection System). The script should classify traffic into normal vs suspicious based on basic heuristics.

Expected Behavior

  • Input: a network interface (e.g., eth0)
  • Process:
    1. Capture packets live using a library like scapy
    2. Parse packet headers (IP, TCP, UDP, HTTP if possible)
    3. Detect anomalies such as:
      • Unusually high request rate from a single IP
      • Access to uncommon ports
      • Suspicious payload signatures (SQL error strings, XSS tags)
    4. Print alerts in real-time to the terminal
  • Output: live dashboard in the console with detected anomalies
  • Handle high traffic gracefully without crashing

Example Usage

python ravenwatch.py -i eth0

Metadata

Metadata

Assignees

No one assigned

    Labels

    documentationImprovements or additions to documentationenhancementNew feature or requesthelp wantedExtra attention is needed

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions