The Role of Artificial Intelligence in Enhancing Internet of Things Systems

Revision Required

Hello Researcher,

I hope you are doing well. I liked your research on AI with IOT, but I can't see any process to handle to make a secure IOT application in this research.I tried to review the paper, and I think that you can improve the below security concern then it will be very good to handle the process.

If you can use this algorithm then it will be very useful for the AI with IOT

:

Federated Learning (FL)

• Trains models locally on IoT devices without sharing raw data.
• Reduces privacy risks.

Homomorphic Encryption (HE)

• Allows computation on encrypted data.
• Protects sensitive data even during processing.

Differential Privacy (DP)

• Adds noise to data or outputs to prevent identity leakage.

Initialize global_model_weights

This is the one kind of psudo code for the algorithms.

FOR each federated_round in TOTAL_ROUNDS:

  selected_clients = randomly select subset of clients

  client_updates = []

  FOR each client in selected_clients:

    client_model = global_model_weights

    client_data = load_local_data(client)

    FOR epoch in LOCAL_EPOCHS:

      client_model = train(client_model, client_data)

    client_updates.append(client_model)

  global_model_weights = aggregate(client_updates)

  broadcast(global_model_weights) to all clients

END FOR

return global_model_weights

I like the research paper. This is very good research, but it needs a few improvements in the security concerns in IOT.

Thanks for giving me the chance to review the research paper.