Name of the participant: Dennis Przytarski
Beschreibung des IT-Forschungsprojekts: The tamper-proof documentation and traceability of all data changes is of central importance in many application areas. One such application area is audit trails. For this, blockchain technology represents a major benefit compared to traditional database systems, as it ensures verifiable data integrity through cryptographically signed data history. This also ensures that the data read reflects its genuine originality, given the ever-increasing number of hacker attacks with the intention of sabotaging data.
As a rule, current blockchain systems are application-based (cryptocurrencies) or build on an existing database system with a simple data model that only manages the current data state. Since the database systems used were not explicitly developed for use within blockchain technology, they also lack tamper-resistant properties. Furthermore, expert knowledge is required if the data history of a blockchain is to be accessed.
The aim of the research project is to make data states in a blockchain efficiently accessible using ad hoc queries while ensuring data integrity (i.e., the initial originality) of read data. Therefore, efficient query concepts for blockchain data histories are developed in this research project.
Software Campus partners: Universität Stuttgart, TRUMPF
Implementation period: 01.02.2021 – 31.01.2022