AI DLP MATLAB Simulation

Budget: $30 - $250

I am wrapping up my graduation project and need a complete MATLAB-based simulation that shows how an AI-driven Data Loss Prevention (DLP) framework can detect threats in sensor networks.

Scope of work • Create a small but realistic synthetic dataset that reflects sensor-network behaviour: packet loss, latency variations and overall traffic volume. • Design and train a prediction model—LSTM, Random Forest or a mix—whichever reaches the strongest results within the time frame. • Code the end-to-end simulation in MATLAB, including data generation, model training, inference and visualisations of detection outcomes. • Report the key metrics (Accuracy, Precision, Recall, F1-score) and briefly explain the tuning process that achieved them.

Deliverables

1. MATLAB source code with clear comments.
2. Generated dataset and the script that produces it so results are reproducible.
3. A concise PDF or Markdown report summarising methodology, hyper-parameters and performance scores.

Acceptance criteria

• Model must achieve meaningful predictive power (e.g., F1 > 0.70 on the held-out set).
• All code runs on MATLAB R2021a or later without additional paid toolboxes.
• Project handed over within two weeks; milestones can be split roughly 60 % for the initial build and 40 % after final results,.

If this fits your expertise and schedule, let me know how you would structure the build, and we can get started right away.