A1 Journal article – refereed

Edge Computing to Secure IoT Data Ownership and Trade with the Ethereum Blockchain




List of Authors: Nawaz A, Pena Queralta J, Guan JX, Awais M, Gia TN, Bashir AK, Kan HB, Westerlund T

Publisher: MDPI

Publication year: 2020

Journal: Sensors

Journal name in source: SENSORS

Journal acronym: SENSORS-BASEL

Volume number: 20

Issue number: 14

Number of pages: 17

eISSN: 1424-8220

DOI: http://dx.doi.org/10.3390/s20143965

URL: https://doi.org/10.3390/s20143965


Abstract
With an increasing penetration of ubiquitous connectivity, the amount of data describing the actions of end-users has been increasing dramatically, both within the domain of the Internet of Things (IoT) and other smart devices. This has led to more awareness of users in terms of protecting personal data. Within the IoT, there is a growing number of peer-to-peer (P2P) transactions, increasing the exposure to security vulnerabilities, and the risk of cyberattacks. Blockchain technology has been explored as middleware in P2P transactions, but existing solutions have mainly focused on providing a safe environment for data trade without considering potential changes in interaction topologies. we present EdgeBoT, a proof-of-concept smart contracts based platform for the IoT built on top of the ethereum blockchain. With the Blockchain of Things (BoT) at the edge of the network, EdgeBoT enables a wider variety of interaction topologies between nodes in the network and external services while guaranteeing ownership of data and end users' privacy. in EdgeBoT, edge devices trade their data directly with third parties and without the need of intermediaries. This opens the door to new interaction modalities, in which data producers at the edge grant access to batches of their data to different third parties. Leveraging the immutability properties of blockchains, together with the distributed nature of smart contracts, data owners can audit and are aware of all transactions that have occurred with their data. we report initial results demonstrating the potential of EdgeBoT within the IoT. we show that integrating our solutions on top of existing IoT systems has a relatively small footprint in terms of computational resource usage, but a significant impact on the protection of data ownership and management of data trade.

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Last updated on 2021-24-06 at 09:02