Security & Privacy for Medical and Genomic Data
Privacy-Preserving Security Architectures for Sensitive Biomedical Data
Research spanning genomic privacy, homomorphic encryption, privacy-enhancing technologies, and Zero Trust architectures for sensitive biomedical data and healthcare applications.
- Type
- Academic research
- Domain
- Health and life sciences
- Focus
- Genomic privacy, PETs, and Zero Trust
Research Areas
Medical and genomic data are among the most sensitive categories of personal information, subject to strict regulatory requirements under GDPR and sector-specific data protection frameworks. Protecting this data while enabling legitimate research and clinical use requires a combination of cryptographic, architectural, and procedural approaches.
This research addressed multiple dimensions of the problem:
- Genomic privacy: protecting sensitive genetic data from re-identification and unauthorised inference.
- Homomorphic encryption: enabling computation on encrypted data without exposing plaintext, supporting privacy-preserving analytics in biomedical settings.
- Privacy-enhancing technologies (PETs) and blockchain for audit trails and consent management.
- Image-processing-based authentication for anti-counterfeiting in pharmaceutical and medical device contexts.
- Zero Trust Network Architecture and GDPR-aligned security design for healthcare infrastructure.
Interested in Security for Health & Life Sciences?
Get in touch to discuss privacy-preserving techniques, Zero Trust design, and GDPR-aligned security architectures for sensitive biomedical data.
Contact R&D Team