Secure and Efficient ML-KEM Implementation on ARM Cortex-M7

This project aims to make future internet-connected devices secure against quantum computer attacks by developing faster and safer cryptographic software for small embedded systems. We will optimize a newly standardized post-quantum algorithm so that it runs efficiently on widely used ARM Cortex-M7 processors without sacrificing security. The results will help protect critical infrastructure, healthcare systems, and smart devices from emerging cyber threats, supporting Canada’s leadership in cybersecurity innovation.

Faculty Supervisor:

Mostafa Taha

Student:

Partner:

Quantegra Technologies Inc

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Carleton University

Program:

Accelerate

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