Visible to the public IoT Data Management and Lineage Traceability: A Blockchain-based Solution

TitleIoT Data Management and Lineage Traceability: A Blockchain-based Solution
Publication TypeConference Paper
Year of Publication2019
AuthorsCui, Hongyan, Chen, Zunming, Xi, Yu, Chen, Hao, Hao, Jiawang
Conference Name2019 IEEE/CIC International Conference on Communications Workshops in China (ICCC Workshops)
KeywordsAuthorization, blockchain, blockchain-based data management, cloud computing, composability, cryptography, data integrity, data management, data privacy, data provenance, Distributed databases, edge clouds, fog nodes, Internet of Things, Internet of Things (IoT), interoperability, IoT data management, lineage traceability, Metrics, open systems, Outsourced Database Integrity, privacy, privacy threats, program diagnostics, pubcrawl, Resiliency, security threats, Servers, smart contracts, Trusted Computing, unauthorized access, untrusted IoT devices
Abstract

The Internet of Things is stepping out of its infancy into full maturity, requiring massive data processing and storage. Unfortunately, because of the unique characteristics of resource constraints, short-range communication, and self-organization in IoT, it always resorts to the cloud or fog nodes for outsourced computation and storage, which has brought about a series of novel challenging security and privacy threats. For this reason, one of the critical challenges of having numerous IoT devices is the capacity to manage them and their data. A specific concern is from which devices or Edge clouds to accept join requests or interaction requests. This paper discusses a design concept for developing the IoT data management platform, along with a data management and lineage traceability implementation of the platform based on blockchain and smart contracts, which approaches the two major challenges: how to implement effective data management and enrich rational interoperability for trusted groups of linked Things; And how to settle conflicts between untrusted IoT devices and its requests taking into account security and privacy preserving. Experimental results show that the system scales well with the loss of computing and communication performance maintaining within the acceptable range, works well to effectively defend against unauthorized access and empower data provenance and transparency, which verifies the feasibility and efficiency of the design concept to provide privacy, fine-grained, and integrity data management over the IoT devices by introducing the blockchain-based data management platform.

DOI10.1109/ICCChinaW.2019.8849969
Citation Keycui_iot_2019