SOL-2024-2: Distributed Ledger Technologies Implementation in Internal Organizational Workflows and Support Applications for Cooperation among National Security Institutions


Project funded by the Ministry of Research and Innovation, Program PN-IV-P6-6.3-SOL, nr. 20341/2024, 16.09.2024-15.09.2026

Solutions Project Description

Target:
  • Strengthening national security through the funding of R&D activities that offer innovative solutions beyond the existing technological level, by creating solutions that ensure the implementation of various big data use cases, with the aim of enhancing the aspects of sustainability, security, interoperability, and robustness of information. More precisely, the project aims to develop, test, and operationalize a multimedia data manipulation platform, encompassing data collection, preprocessing, storage, segregated user access, and their secure transformation based on cryptographic keys and signatures within a platform that integrates DLT-specific infrastructure and protocols. (Distributed Ledger Technology). Using techniques for federating artificial intelligence tools, the project aims to develop a modern solution for extracting useful information from multiple sources centered on textual data.

Objectives:
  • The development of technological concepts, methods, and algorithms based on distributed ledgers (TRL 3).
  • Research, design, experimentation, and laboratory validation of a technological solution for the digital recording of transactions and their details in multiple locations simultaneously (TRL 4).
  • Creating a platform that allows the sharing of information and know-how between institutions that implement/wish to implement blockchain-based solutions, as well as creating complementarity between the actions and instances of use of these solutions, validating the results through testing and evaluation of demonstrators/functional models in the operational environment. (TRL 8)
  • Operationalizing the platform and demonstrating the characteristics regarding availability, confidentiality, efficiency, security, traceability, and scalability (TRL 8).

Project modules:
  • User Interface Design: Providing an intuitive and easy-to-use interface with basic functionalities.
  • Data Collection: Collecting and ingesting data from multiple sources.
  • Preprocessing and Storage: Preparing the collected data for storage and analysis.
  • Blockchain/DLT: Implementing secure storage and transaction management using DLT.
  • Analysis: Using AI for data analysis, entity recognition, and language translation.
  • Risk Assessment and Predictive Analysis: Development of AI models for risk assessment based on analyzed data.
  • Frontend Implementation: Building and implementing the frontend components of the platform.
  • Compliance and Security: Ensuring the platform's compliance with GDPR and other security regulations.
  • Testing and QA: Conducting initial testing to validate the main functions and identify possible improvements.
  • Hardware Infrastructure: Configuring the hardware for the DLT platform and AI processing.
  • Reporting and Documentation: Documenting results and generating reports, ensuring knowledge distribution.

Consortium
Technical University of Cluj-Napoca
Research Agency for Military Equipment and Technologies
Zetta Cloud

The team

Technical University of Cluj-Napoca

The UTCN team has 9 members with expertise in Artificial Intelligence, Natural Language Processing, Disinformation Detection, Distributed Ledger Technologies, DeepFake Detection.

Research Agency for Military Equipment and Technologies

The ACTTM team provides the scientific expertise necessary to achieve the project's deliverables. The team's expertise includes AI research and development as well as testing activities.

Zetta Cloud

Zetta Cloud (ZA Cloud) is engaged with a team of 7 AI researchers and software developers and is mainly responsible with implementing the TRL8 software deliverable.

Results

Scientific reports

... to be continued

Demonstrations

... to be continued

Publications

... to be continued

Contact

adrian.groza@cs.utcluj.ro