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Quantum safe algorithms for secure and decentralised storage and management

   PhD Opportunities

   Applications accepted all year round  Funded PhD Project (Students Worldwide)

About the Project

Industry 4.0 refers to a new phase in the Industrial Revolution that focuses heavily on interconnectivity, automation, large scale data processing and analytics. It heavily relies on data storage and computing facilities like cloud and edge devices.

Remote data storage brings security and privacy challenges. Data breaches can reveal sensitive personal information of individuals. That is why privacy laws like GDPR and CCPA encourage encryption and authentication of data.

However, many of these encryption algorithms rely on public key cryptography which are vulnerable on attacks by quantum computers. In order to secure data stored in remote servers, clients need to periodically re-encrypt data with fresh cryptographic keys.

That is why, our IT systems recommend changing passwords from time to time. It has been observed that if these keys (or passwords) are not changed properly, then attackers can retrieve the keys and get access to the data.

Another challenge is that this process has to be efficient and should involve minimum effort of the client.

The aim of this project is to design encryption and authentication algorithms that are quantum-safe, efficient and can withstand data breaches over long period of time.

Our algorithms will address the following:

1. Efficient and Secure password and key management by designing password vaults

2. Efficient re-encryption algorithms for data sharing and key update

3. Protection against malicious service providers.

We are looking for candidates with the following skills and experiences:

• Strong background in applied Cryptography, data structure and algorithms, strong mathematical inclination.

• Strong programming skills, especially in C, C++, Python

This is a fully funded scholarship for 3.5 years which covers tuition fees and a stipend for living expenses.

To apply, submit your resume to Dr Qiang Tang -

Email Now

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