Scalable and privacy-preserving publish-subscribe for data sharing

Overview

The publish-subscribe communication protocol is widely used in real-world data-driven applications. Data producers and consumers share their data using the publish-subscribe communication protocol, which relies on a centralized data sharing server. As the data load increases, the publish-subscribe broker fails to meet the real-time demands of the applications.

This project will investigate and develop a scalable and privacy-preserving publish-subscribe protocol.

Research activities

Research questions:

1. How to preserve privacy in the publish-subscribe communication protocol?
2. How to scale publish-subscribe communication protocol for multi-modal data and large-scale applications?

You are expected to focus on the following issues:

• investigate the literature on scalable and privacy-preserving publish-subscribe
• work with the project supervisor to develop a design of a privacy-preserving and/or scalable publish-subscribe.

Outcomes

We plan to write a research article describing the findings of this work. This project has immense potential for both the industry and the research community if the research activities are carried out diligently.

Skills and experience

You should have:

• a willingness to work on new areas and challenging problems
• a desire to read papers, develop software designs, and write software
• the ability to code in Python or similar languages.

Keywords

• data sharing
• privacy
• security
• scalability

Contact

Contact the supervisor for more information.