In recent IoT systems, the significant volume of data generated poses challenges in performance and security, particularly for resource-constrained devices. Traditional centralized systems face issues like single points of failure, scalability limitations, and high computational demands, while blockchain-based systems struggle with energy consumption, slow transactions, and fees—especially in remote areas like marine environments. This research explores decentralized approaches using lightweight Distributed Ledger Technologies (DLTs) like IOTA to improve security and scalability while minimizing resource use.
 
The thesis introduces a decentralized authentication system, Secure Batch Data Assisted IOTA (SBDI), tailored for resource-constrained IoT devices. SBDI integrates lightweight hybrid cryptography, batch data aggregation, and secure data storage on IOTA's Chrysalis network, enhancing efficiency and security with minimal computational overhead. Experimental results validate its effectiveness, particularly in marine data collection scenarios.
 
The research further develops the IDIA system, a decentralized identity management approach using Decentralized Identifiers (DIDs) and IOTA's Shimmer network, optimized for maritime environments. These contributions advance decentralized IoT security, offering practical solutions for terrestrial and marine IoT applications.

Reception
After the defence there will be a reception.