Authentification of IoT Data Throughout the Process Chain

Details

Supervisors

Sadre, Ramin ; Pelsser, Cristel

Faculty

Ecole polytechnique de Louvain

Degree label

Master [120] en cybersécurité, à finalité spécialisée: stratégies en entreprise

Abstract

As the Internet of Things (IoT) continues to evolve, the security of data exchanged across its networks has become a critical concern. Ensuring the integrity, authenticity, and privacy of this data is essential to prevent unauthorized access, data breaches, and tampering. This thesis investigates the use of blockchain technology combined with the succinct non-interactive argument of knowledge (zk-SNARK) to address these challenges effectively. Blockchain offers a decentralized, tamper-proof ledger that ensures that data remains secure and unaltered. However, to preserve privacy within this transparent system, zk-SNARKs are utilized, enabling the verification of data without exposing its content. A system integrating these technologies was implemented and tested through a series of simulations to assess its ability to protect sensitive IoT data. The findings reveal that the proposed system successfully mitigates risks associated with data privacy and integrity, providing a robust framework for secure data management in IoT environments. This research contributes to the field of IoT security by offering a practical solution that ensures both privacy and trust in increasingly interconnected systems.