Blog
Blog
Record Linkage in Healthcare Research
In this blog, the ENCRYPT project explores how privacy-preserving technologies like Trusted Execution Environments (TEEs) can enable secure record linkage across healthcare institutions, especially in legally complex contexts like Germany.
by
Nima Faraji (TRUSTUP) and Dativa Tibyampansha (Johannes Gutenberg-Universität Mainz).
ENCRYPTing Financial Data: How the ENCRYPT Project is Making FinTech Safer and Smarter
Discover how the ENCRYPT project is revolutionizing financial data analytics by enabling powerful insights without compromising privacy.
by
ENCRYPT Fintech Use Case team.
The Role of Differential Privacy in FinTech
Revolutionizing FinTech with Differential Privacy - where data security meets innovation, fostering trust, compliance, and limitless potential.
by
Ioannis Xanthoulis, DBC diadikasia.
Implementation of a tool for risk assessment of personal data processing using a methodology based on the LINDDUN and MITRE ATT&CK frameworks
Uncover how cutting-edge frameworks like LINDDUN and MITRE ATT&CK come together with ENISA’s methodology to revolutionize privacy risk assessment. Dive into how a domain-specific approach for healthcare, fintech, and CTI reshapes data security, helping you outsmart threats and protect assets.
by Engineering Ingegneria Informatica
Leveraging Large Language Models (LLMs) for Mapping Tabular Data to Ontologies
Automate Data Integration with Large Language Models (LLMs): Discover how LLMs can streamline the mapping of tabular data to ontologies, transforming raw data into structured insights and driving efficiency in data management.
by Mary Papoutsoglou, Aristotle University of Thessaloniki.
Homomorphic Encryption Applied to Various Use Cases
Discover how homomorphic encryption is used for data security by enabling computations on encrypted data, safeguarding privacy even during processing. From determining loan eligibility in FinTech to detecting cyber threats and confidential medical analysis, this cutting-edge technology is transforming how we handle sensitive information.
by Jean-Paul Bultel, CEA.
Differential Privacy within ENCRYPT: Ensuring Privacy While Maximizing Data Utility
Explore how Differential Privacy empowers ENCRYPT to safeguard data privacy while optimizing data utility, offering users a simple yet effective means to protect their data without sacrificing analytical insights.
by Stelios Erotokritou, Eight Bells Ltd.
Enhancing CTI Extraction Using Privacy-Preserving Techniques
Explore how Fully Homomorphic Encryption and Trusted Execution Environments revolutionize Cyber Threat Intelligence extraction by enabling secure and private analysis of sensitive data to combat evolving cyber threats.
by Angelos Papoutsis, Research Associate, Centre for Research and Technology Hellas
Combining Trusted Execution Environment and Homomorphic Encryption
Unlocking New Frontiers in Privacy: ENCRYPT's Fusion of Homomorphic Encryption and Trusted Environments
by Giovanni Mazzeo, Co-founder of Trust Up srl and Assistant Professor at University of Naples ‘Parthenope’.
Understanding Fuzzy Logic in the ENCRYPT Project
Learn how the ENCRYPT project leverages fuzzy logic to enhance data privacy through AI-driven, personalized technology recommendations
by EXUS
Hardware Acceleration for FHE
Boosting Privacy: Unleashing the Power of Hardware Acceleration in ENCRYPT for Efficient Fully Homomorphic Encryption (FHE) Data Processing
by Orion Papadakis, Thanos Stratikopoulos, Michalis Papadimitriou, Mary Xekalaki, Juan Fumero, Christos Kotselidis, University of Manchester
Enhancing Patient Privacy in Medicine: Leveraging Differential Privacy for Secure Data Sharing
Safeguarding Patient Confidentiality in Collaborative Healthcare: A Closer Look at How Differential Privacy Elevates Medical Data Sharing Security
by Ioannis Xanthoulis, DBC
Software Guard eXtension
Software Guard eXtension and it’s applications in the medical domain
by Salvatore D’Antonio, Associate Professor at University of Naples, Parthenope
Homomorphic Encryption
Safeguarding Data Privacy in Distributed Learning: Mitigating Risks and Harnessing Homomorphic Encryption
by Martin Zuber, Cryptography Researcher, CEA
DP in Fintech use case
Deployment of Local Differential Privacy in the ENCRYPT Fintech Use Case
by Konstantina Papachristopoulou, Senior R&D Project Manager, Eight Bells Ltd.
Data Preprocessing: A Vital Step in Privacy-Preserving Technologies
by Angelos Papoutsis, Data Science/Cybersecurity Researcher, Centre for Research & Technology Hellas
Privacy Risk Assessment
Existing methodologies to analyse security risks connected to personal data processing, an overview
By Paolo Roccetti, Head of Cybersecurity research unit, Engineering Ingegneria Informatica
Cyber Resilience Act
A Proposal for a Cyber Resilience Act: the missing puzzle for a comprehensive EU cybersecurity framework?
Dr. Irene Kamara, Assistant professor at Tilburg Institute for Law, Technology, and Society (TILT)
