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Wireless Security Course Laboratories

This repository contains two practical laboratory reports from the Wireless Security course held at Politecnico di Torino, 2024/2025. The labs explore vulnerabilities and performance characteristics of wireless technologies through hands-on experiments and analysis.

πŸ“‘ Lab 1 β€” GNSS Signal Analysis and Spoofing

This lab focuses on:

  • Collecting and analyzing raw GNSS measurements using Android smartphones and the GnssLogger app.
  • Evaluating positioning accuracy under different environmental conditions (open sky, battery-saving mode, obstructed reception).
  • Applying filters to improve positioning precision.
  • Simulating GNSS spoofing attacks and analyzing their impact on positioning and receiver bias using MATLAB scripts.

Key findings:

  • GNSS accuracy is significantly affected by environment and signal quality.
  • Spoofing attacks can effectively mislead GNSS receivers, highlighting the need for countermeasures like anomaly detection and signal authentication.

πŸ“Ά Lab 2 β€” WiFi Performance Evaluation

This lab explores:

  • Performance benchmarking of WiFi connections (802.11ac) using Wireshark and iperf3.
  • Multiple network scenarios: WiFi-to-WiFi, Ethernet-to-WiFi, and Ethernet-to-Ethernet.
  • Impact of TCP/UDP protocols, bitrate tuning, and packet length on network goodput.
  • WiFi asymmetry, congestion, and bufferbloat effects on throughput and latency.

Key findings:

  • Wireless links are more prone to performance variability and packet loss compared to wired ones.
  • Careful tuning of parameters (e.g., UDP bitrate and packet size) can significantly improve performance.
  • TCP performance is affected by network congestion, leading to ACK delays and reduced throughput.

πŸ“‚ Contents

  • GNSS_Lab.pdf β€” Report on GNSS spoofing experiments and analysis.
  • WiFi_Lab.pdf β€” Report on WiFi performance analysis under different network setups.

πŸ“˜ Course

  • Course Name: Wireless Security
  • Institution: Politecnico di Torino
  • Academic Year: 2024–2025
  • Authors: Simone Sampognaro, Luca Nobili, Vito Cucinelli

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