Description du projet
De nouvelles méthodes pour améliorer la sécurité des données sensibles
La science des données, l’apprentissage automatique et l’intelligence artificielle sont des domaines qui se développent rapidement. Toutefois, les données qu’ils souhaitent utiliser et analyser sont souvent sensibles, et les protéger constitue un défi de taille. Le projet KIProtect, financé par l’UE, entend le relever avec une toute nouvelle approche innovante pour la protection et la sécurité des données spécialement adaptée aux mégadonnées et à l’intelligence artificielle. Le projet proposera une nouvelle approche de pseudonymisation des données basée sur des méthodes modernes de transformation des données cryptographiques et statistiques, permettant aux clients de travailler facilement avec des données sensibles et de les partager tout en garantissant la conformité et la sécurité.
Objectif
The importance of data science, machine learning and artificial intelligence is increasing rapidly. Concepts like smart home, smart cities, connected car, Internet of Things (IoT) and industry 4.0 all require large amounts of data that need to be collected, stored and analyzed. To remain relevant and competitive, companies and public organizations alike need to follow this trend. However, the data they want to use and analyze is often sensitive, and protecting it is a difficult challenge.
KIProtect solves this challenge with an entirely new, innovative approach for data security and data protection that is specifically tailored to big data and artificial intelligence: We provide a novel data pseudonymization approach based on modern cryptographic and statistical data transformation methods. This allows our customers to easily work with and share sensitive data while ensuring compliance and security, enabling them to build data-driven business processes on top of secure data streams. Our technology is currently being tested in several proof of concept (PoC) projects and demonstrably works. It is unique in that it can reliably protect high-dimensional data (e.g. images or time series) while retaining most of the data utility. We therefore have a strong USP and are currently pursuing patent protection for our core algorithm as well, which will grant us a very strong position in the large and fast-growing data security market. We plan to use the H2020 funding to prove the applicability of our approach for specific industries and to develop PoC solutions that enable companies to build secure and robust data processing systems for specific use cases. We have realized a first prototype implementation of our methods as an API and are already working with our first pilot customers to validate our business plan. The European data security market has a volume of more than 1 BN € and grows at 15 % per year. We are confident that we can become a technology leader in it.
Champ scientifique
- engineering and technologycivil engineeringurban engineeringsmart cities
- natural sciencescomputer and information sciencescomputer securitydata protection
- social sciencespolitical sciencespolitical policiescivil society
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systemshome automation
- natural sciencescomputer and information sciencesdata sciencedata processing
Programme(s)
Régime de financement
SME-1 - SME instrument phase 1Coordinateur
10707 BERLIN
Allemagne
L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention.