Blockchain-based schemes for continuous verifiability and traceability of IoT data

Abstract

This paper presents a continuous delivery/continuous verifiability (CD/CV) framework for IoT dataflows in edge-fog-cloud. In this framework a CD model based on extraction, transformation, and load (ETL) mechanism as well as a directed acyclic graph (DAG) construction, enable end-users to create efficient schemes for the continuous verification and validation of the execution of applications in edge-fog-cloud infrastructures. This framework also provides tools for continuous verification and validation (CV) of predefined execution sequences and the integrity of digital assets using blockchain. CV model converts ETL and DAG into business model, smart contracts in a private blockchain for the automatic and transparent registration of transactions performed by each application in workflows/pipelines created by CD model without altering applications nor edge-fog-cloud workflows. This framework ensures that IoT dataflow delivers verifiable information for organizations to conduct critical decision-making processes with certainty. A containerized parallelism approach solves portability issues and reduces/compensates the overhead produced by CD/CV operations. The talk will also present evaluation results of the CD/CV framework based on a case study where user mobility information is used to identify interest points, patterns, and maps. The experimental evaluation results show the feasibility of CD/CV to register transactions performed in IoT dataflows through edge-fog-cloud in a private blockchain network.