Anomaly Detection Models for the Trusted Execution Environment

In this project, Dr. Fung and her students will work with Trustcore Technology to design and develop anomaly detection functions in the trusted execution environment (TEE) of Internet of Things devices. The goal is to provide a robust solution to detect malfunctions and/or intrusions in IoT systems. The project is divided into two parts. Part one is to provide a basic anomaly detection function on the IoT device. Part two is the anomaly detection component built at a remote place. The two components complement each other and provide security and resilience features to IoT devices.

Faculty Supervisor:

Carol Fung

Student:

Partner:

Trustcore Technologies

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Concordia University

Program:

Accelerate

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