Our scientists work closely with engineers and thanks to such cooperation, several technologies that originally appeared the stuff of science-fiction, are now an irreplaceable part of our daily lives such as trusted digital signatures, timestamping, internet voting and secure multi-party computation.
Creating a reliable architecture that enables the European electrical system to function as a single system.
AKIT is an English-Estonian data protection and information security lexicon (Andmekaitse ja infoturbe leksikon).
Creating techniques for constructing zero-knowledge proofs for government interactions with citizens, companies or other governments.
The project seeks to map the effects emerging technologies have on voting and offer solutions to potential problems.
The project aims to bring to market a new TDOA technology and develop a maritime traffic surveillance product for the international market.
Research & development of a security threat information sharing and correlation system for transnational use.
Implementation of high maturity cyber situational awareness platform for military use.
The project aims to expand the functionalities of CoNurse through developing a stochastic model for implementing smart and dynamic protocol delivery.
The aim of this project is to make the necessary preparations and create the necessary commercial and technological base for the provision of next-generation eID services in accordance with the updated version of eIDAS.
De-risking machine learning technology for cyber security applications in cooperation with European Space Agency.
This project aims to deliver the foundation for a trusted EU Fighting Crime and Terrorism (FCT) Research Data Ecosystem (RDE) to address the so-called “Data Issue” in the FCT research landscape.
TEADAL will enable the creation of trusted, verifiable, and energy-efficient data flows, both inside a data lake and across federated data lakes, based on a shared approach for defining, enforcing, and tracking data governance requirements with specific emphasis on privacy/confidentiality.
CHESS will integrate leading cybersecurity institutions and capitalise on the strengths of both regions to address important Europe-wide challenges.
In this project, we propose improved principles and techniques for identity management, clarifying the questions about trust and accountability.
The project aims at maximizing synergies, standardization and interoperability capabilities of armoured vehicles to address highly demanding requirements while introducing innovative and promising new technologies and concepts.
The project will test and demonstrate potential governance structures for the network of competence centres using the best practices examples of participants like CERN.
DataBio demonstrates that enabling data-driven decisionmaking in agriculture, forestry and fishing increases productivity and has a measurable impact to both the economy and the environment.
Development a radio surveillance platform and an adaptive radio network.
NAPLES demonstrates how to seamlessly add security analysis and optimization capabilities on top of Business Process Management tools.
IUT27-1 is centered on systems’ security with a focus on Secure Multiparty Computation, Structured Risk Assessment of information and related systems, and Internet voting.
EXCITE will advance foundational theories of model verification and data analysis.
The support of maritime surveillance and interdiction missions.
PRACTICE will mitigate insider threats and stop data leakage for computations in the cloud while maintaining economies of scale.
Privacy-preserving statistical studies on linked databases.
The objective is to turn STACC into a leading and economically independent R&D organisation.
SafeCloud aimed to re-architect cloud infrastructures with a focus on partitioning and entanglement.
The SUNFISH project will develop and integrate software enabling secure cloud federation as required by European Public Sector bodies.
The goal of TREsPASS was to create a mart ‘attack navigator’, which will trace potential weak points within an organization or a given infrastructure.
The UaESMC project focused on methods for making secure computation more practical in the real world.
MANTICUS APOLLO focused on creating the theoretical foundation for a transnational and comprehensive situational awareness capability for coordinating national defense.
SysFlex will identify issues and solutions associated with integrating large-scale renewable energy and create a plan to assist system operators across Europe.
INTERFACE aims to achieve greater coordination between TSOs and DSOs to ensure a cost-effective and secure supply of electricity.
MAITT will prototype machine learning and AI-powered public domain service delivery in domains that are of importance to the state.
Data protection synthesis of test databases using secure computing technology.
Analysing the changes in e-voting risk analysis in a situation where voting from a smart device is possible.
Analyzing the impact of biometric facial recognition measures on the e-voting system in ensuring freedom of choice and its applicability in the Estonian e-voting system
The Estonian information security standard aims to develop and promote the level of information security of the Estonian public authorities as well as private businesses.
Study of applicability of cryptographic algorithms in information systems, their spread and assessment of the strength of already implemented cryptographic algorithms.
Creation of a tool to convert a Datalog-like program to a SecreC program (privacy-preserving computation based on Sharemind MPC platform).
Analysis of the Open-eID architecture design offer including the formulation of system security requirements, review and verification of the protocol set in terms of fixed requirements.
Creation of programmable secure multi-party computation and applications.
Analysis for Estonia's new file encryption standard CDOC2.0 and general architecture design.
Implementation of the Estonian Government Cloud.
Analysis of and recommendation for the Estonian eID trust model.
The project created a proof-of-concept solution for the secure private processing of longitudinal Mobile Network Operator data in support of official statistics.
In this project, we test data synthesis using secure computing technology that protects original data from the service provider so that synthesis could even be a cloud service that is unable to leak the source data values. The project will result in a service prototype.