Enhancing Data Security and Privacy in IoMT based Healthcare Services

Healthcare has been completely transformed by the spread of Internet of Medical Things (IoMT) devices, which present before unheard-of possibilities for monitoring, diagnosis, and therapy. Since healthcare data is sensitive, these solutions must ensure authorized access to data while maintaining confidentiality, integrity, and the availability of resources. The underlying security vulnerabilities in IoMT systems can compromise the safety and privacy of patients, cause unauthorized data access and breaches, result in service disruptions, and violate regulatory requirements. Thus, implementing robust data security solutions in such systems is essential for their wide adoption. 

In this project, we will research and develop methods to automate repetitive data security tasks, automate the process to identify unauthorized access to data, and develop data-centric access control solutions. We aim to study, develop, and optimize encryption techniques to meet the computing requirements of the HealthSign smart wristband. All methods, protocols, and software developed during this project will benefit from the fact that they will be evaluated and validated on a real-world IoMT device by the partner organization and will also contribute to the knowledge base of cybersecurity pertinent to IoMT devices.

Faculty Supervisor:

Yasir Malik

Student:

Partner:

Healthsign Inc.

Discipline:

Computer science

Sector:

Manufacturing

University:

Bishop's University

Program:

Accelerate

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