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/Report › Conference contribution › Contributed › peer-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 language | English |
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Title of host publication | Intelligent Computing - Proceedings of the 2023 Computing Conference |
Editors | Kohei Arai |
Publisher | Springer Science and Business Media B.V. |
Pages | 1345-1360 |
Number of pages | 16 |
ISBN (print) | 9783031377167 |
Publication status | Published - 2023 |
Peer-reviewed | Yes |
Publication series
Series | Lecture Notes in Networks and Systems |
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Volume | 711 LNNS |
ISSN | 2367-3370 |
Conference
Title | Computing Conference 2023 |
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Duration | 22 - 23 June 2023 |
Website | |
Location | Clayton Hotel Chiswick |
City | London |
Country | United Kingdom |
External IDs
ORCID | /0000-0003-0407-742X/work/166324764 |
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Keywords
Sustainable Development Goals
ASJC Scopus subject areas
Keywords
- Blockchain, Data Aggregation, Privacy-Preserving, Security, Smart Water Metering Networks