# Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT

## TL;DR

This paper introduces a new method combining federated learning and blockchain to improve authentication and privacy in industrial IoT systems.

## Contribution

The novel S-TD3 algorithm and FT-Block framework enhance authentication and privacy in IIoT using federated transfer learning and blockchain.

## Key findings

- The proposed FT-Block framework uses multiple blockchains to improve privacy and security in industrial IoT.
- The S-TD3 algorithm effectively trains user models for authentication in specific regions.
- The solution addresses limitations in current authentication mechanisms by adapting to user growth and diverse requirements.

## Abstract

The Industrial Internet of Things (IIoT) has led to the growth and expansion of various new opportunities in the new Industrial Transformation. There have been notable challenges regarding the security of data and challenges related to privacy when collecting real-time and automatic data while observing applications in the industry. This paper proposes an Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT. In FT-Block (Federated transfer learning blockchain), several blockchains are applied to preserve privacy and security for all types of industrial applications. Additionally, by introducing the authentication mechanism based on transfer learning, blockchains can enhance the preservation and security standards for industrial applications. Specifically, Novel Supportive Twin Delayed DDPG trains the user model to authenticate specific regions. As it is considered one of the most open and scalable interacting platforms of information, it successfully helps in the positive transfer of different kinds of data between devices in more significant and local operations of the industry. It is mainly due to a single authentication factor, and the poor adaptation to regular increases in the number of users and different requirements that make the current authentication mechanism suffer a lot in IIoT. As a result, it has been very clearly observed that the given solutions are very useful.