MapChain: A DHT-Based Dual-Blockchain Data Structure for Large-Scale IoT Systems

Autor: Guillaume Jourjon, Kanchana Thilakarathna, Tiantong Wu, Phee Lep Yeoh
Rok vydání: 2021
Předmět:
Zdroj: WF-IoT
DOI: 10.1109/wf-iot51360.2021.9595910
Popis: The rapid growth of Internet of Things (IoT) devices is creating enormous amounts of data in large-scale IoT systems. In such systems, the efficiency, trustworthiness, confidentiality, and integrity of data storage and retrieval are significant challenges. In this paper, we propose a dual-blockchain distributed data structure as a highly scalable solution for resource-constrained IoT systems. Our proposed model is based on a distributed hash table (DHT) which is implemented and benchmarked in an experimental IoT network environment. Performance analysis and experimental results highlight that our dual-chain model provides better scalability in terms of space consumption, latency and computational complexity compared to baseline single-chain models. Security analyses are provided to discuss the feasibility of distributed trust management, fault tolerance, as well as confidentiality of data stored in our model and conflict avoidance mechanisms.
Databáze: OpenAIRE