Blockchain Technology Approach on Securing Smart Water Metering Networks Toward Anomaly Free: An Overview and Future Research Directions

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

Abstract

Innovation within the water sector has seen the adoption of innovative technological solutions (i.e. artificial intelligence, Internet of Things (IoT), and blockchain) in water utilities that allow the integration of information and Communication Technologies (ICT) into traditional water distribution systems, making them Smart Water Metering Networks (SWMNs). However, the birth of SWMNs has not only enabled a convenient, reliable, error-free transmission of water consumption readings to the control center, but it has exposed these networks to security hazards that can only be solved by security mechanisms that can foster wider adoption of the SWMNs. A lot of researchers have been researching applications of machine learning to detect and locate anomalies in SWMNs, and just like smart grids, there is little work done on protecting these networks from security attacks. Due to the heterogeneous nature and limited computed resources of SWMNs, they hinder the construction of a trusted network. Although there has been little work done on using blockchain technology to secure SWMNs, research has proven that blockchain technology has the potential to strengthen and secure these networks. Moreover, blockchain sort of guarantees the trustworthiness and robustness of the network, which makes it resistant to cyberattacks. This work provides a survey on evidence-based scoping, exhausting the available literature on blockchain technology approaches to securing SWMNs, and identifies potential research for future investigations. Finally, to provide answers and fill research gaps in SWMNs using a limited set of blockchain technologies.

Details

Original languageEnglish
Title of host publicationIntelligent Computing - Proceedings of the 2023 Computing Conference
EditorsKohei Arai
PublisherSpringer Science and Business Media B.V.
Pages1345-1360
Number of pages16
ISBN (print)9783031377167
Publication statusPublished - 2023
Peer-reviewedYes

Publication series

SeriesLecture Notes in Networks and Systems
Volume711 LNNS
ISSN2367-3370

Conference

TitleComputing Conference 2023
Duration22 - 23 June 2023
Website
LocationClayton Hotel Chiswick
CityLondon
CountryUnited Kingdom

External IDs

ORCID /0000-0003-0407-742X/work/166324764

Keywords

Sustainable Development Goals

Keywords

  • Blockchain, Data Aggregation, Privacy-Preserving, Security, Smart Water Metering Networks