⚡ Pulsar Side‑Channels

• Full Report - Deep dive into the background, methodology, results, and takeaways.

This is a MATLAB/Octave framework for experimenting with signal analysis and side‑channel attacks on simulated pulsar‑like signals. In this case, the side-channel is the simulated pulsar emissions, and the 'target device' is the scrambling algorithm applied to it.

System Overview

Feature	Implementation
Platform	GNU Octave
Languages	MATLAB / Octave
Signal Analysis Methods	FFT, Autocorrelation, Power Spectral Density (PSD), Enveloping
Scrambling Algorithm	Seeded PRNG for Bit flipping, Amplitude shifting, Timing jitter
Attack Method	Brute‑force seed scoring

Basic Usage

• Modify/use the pre-made driver.m, or use it as below:

% noisy_sets: cell array {label, signal}
% fs: sampling frequency
% t: optional time vector for plotting/analysis

results = main_emma(noisy_sets, fs, t);

Acknowledgements

• MATLAB/Octave content and slideshow was developed for EELE308 at MSU Bozeman.