A Privacy-protection Scheme for Smart Water Grid Based on Blockchain and Machine Learning

Lalle, Yandja; Fourati, Lamia Chaari; Fourati, Mohamed; Barraca, João Paulo

doi:10.1109/csndsp49049.2020.9249549

Cited by 6 publications

(7 citation statements)

References 7 publications

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“…Machine learning is used to implement an energy prediction analytic module for predicting short-term energy consumption to minimize the cost of electricity to consumers. Lalle et al in [223] employ blockchain and machine learning to guarantee the data privacy of smart water grid users. First, k-means++ is used to partition users into clusters, and then a private blockchain is adopted to store user data of each cluster.…”

Section: ) Application In Smart Gridmentioning

confidence: 99%

“…mining pool security strategy [135] --Iterative game mining pool management [129] [130] --Auction -resource management in MEC [138] [139] -Others mining pool management [128] performance analysis [131] mining competition analysis [132] security condition acquisition [136] [226] security in edge networks [140] resource allocation [145] -Optimization theory Convex optimization -security in D2D communication [152] -Geometric programming -resource allocation in IoT [163] -Stochastic programming -optimal algorithm and strategy design in mobile edge network [169] -Lyapunov Optimization DDoS attack avoidance [159] resource allocation in mobile device cloud [164] -Others analytical framework modeling for PBFT [157] sharding security [160] performance analysis [166] [165] security [158] [161], resource allocation in MEC [162], optimal algorithm and strategy design in payment channel network [167] optimal algorithm and strategy design in electric taxi charging scenarios [168] Machine Learning Supervised learning majority-attack avoidance [190] --Unsupervised learning performance optimization [211] security in Bitcoin [204] [205] [206] energy trading [222] data privacy [223] Federated learning -privacy and security in centralized machine learning [193] intrusion identification [208] privacy protection [218] [213] -Deep learning identify malicious nodes [203] application in IoT [217], application in smart grid [221] Reinforcement learning -resource management in IoT …”

Section: A Cryptographymentioning

confidence: 99%

See 1 more Smart Citation

Blockchain Systems, Technologies, and Applications: A Methodology Perspective

Cao

Wang²,

Zhang

et al. 2023

IEEE Commun. Surv. Tutorials

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In the past decade, blockchain has shown a promising vision to build trust without any powerful third party in a secure, decentralized and scalable manner. However, due to the wide application and future development from cryptocurrency to the Internet of things, blockchain is an extremely complex system enabling integration with mathematics, computer science, communication and network engineering, etc. By revealing the intrinsic relationship between blockchain and communication, networking and computing from a methodological perspective, it provided a view to the challenge that engineers, experts and researchers hardly fully understand the blockchain process in a systematic view from top to bottom. In this article we first introduce how blockchain works, the research activities and challenges, and illustrate the roadmap involving the classic methodologies with typical blockchain use cases and topics. Second, in blockchain systems, how to adopt stochastic process, game theory, optimization theory, and machine learning to study the blockchain running processes and design the blockchain protocols/algorithms are discussed in details. Moreover, the advantages and limitations using these methods are also summarized as the guide of future work to be further considered. Finally, some remaining problems from technical, commercial and political views are discussed as the open issues. The main findings of this article will provide a survey from a methodological perspective to study theoretical model for blockchain fundamentals understanding, design network service for blockchain-based mechanisms and algorithms, as well as apply blockchain for the Internet of things, etc.

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Section: ) Application In Smart Gridmentioning

confidence: 99%

Section: A Cryptographymentioning

confidence: 99%

Blockchain Systems, Technologies, and Applications: A Methodology Perspective

Cao

Wang²,

Zhang

et al. 2023

IEEE Commun. Surv. Tutorials

View full text Add to dashboard Cite

show abstract

“…This malicious gateway can send fake information to the network server and therefore disturb the network communication. Blockchain technology [44] can bring some solutions to security and privacy problems but an in-depth investigation is required.…”

Section: B Security and Privacymentioning

confidence: 99%

Routing Strategies for LoRaWAN Multi-Hop Networks: A Survey and an SDN-Based Solution for Smart Water Grid

Lalle¹,

Fourati

et al. 2021

IEEE Access

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Low Power Wide Area Networks (LPWANs) are becoming the most suitable communication technologies in the Internet of Things (IoT) applications due to their low power consumption, long communication range and low cost. Currently, Long Range Wide Area Network (LoRaWAN) is one of the most popular LPWANs. Because it offers the possibility to build private networks with an open standard, LoRaWAN is the most deployed LPWAN solution. However, LoRaWAN supports only one-hop communication, that is, the end-devices are connected directly to the gateways. Since LoRa links can be kilometers long, its signals may undergo interference with other radio signals or encounter obstacles such as buildings, trees. In urban areas, to ensure that indoor LoRa devices can successfully transfer data back to remote gateways (GWs), a dense deployment of GWs is required. Unfortunately, the deployment of many GWs increases the network cost. Multi-hop communication can be exploited to increase LoRaWAN network coverage and packet delivery ratio (PDR) without deploying additional GWs. Therefore, in order to improve LoRaWAN performance, different routing approaches have been recently proposed aiming to create LoRaWAN multi-hop networks where some devices can play the role of relay nodes. However, in some use cases like Smart Water Grid (SWG), where nodes are buried underground inside the pipelines, the use of some SWG devices as relay nodes is not efficient in terms of energy consumption. In this paper, we first provide an in-depth survey on different routing protocols proposed for LoRaWAN multi-hop networks followed by a useful comparison between these approaches. Then, to enable efficient peer-2-peer (P2P) communication between end-devices in SWG, we propose a routing protocol based on Software Defined Networking (SDN) where some specific nodes called Relay Nodes (RNs) relay data from leakages detection nodes. In the case where a sensor detects a leak, a signal is sent to shut off the water valve automatically through our routing approach. Through simulations under LoRaSim, our proposed solution outperforms the standard single-hop network in terms of energy consumption and packet error rate. A range of issues, problems are provided and some research directions are suggested.

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“…Therefore, some researchers propose a privacy protection scheme based on blockchain. Lalle et al [7] proposed a smart water meter privacy protection data aggregation scheme based on blockchain technology and machine learning algorithms, which uses pseudonyms to mask users' identities. Mahmoud et al [8] proposed an intelligent water meter data aggregation mechanism based on distributed ledger and blockchain technology, which uses bloom filter to simulate the identity of customers.…”

Section: Introductionmentioning

confidence: 99%

“…Mahmoud et al [8] proposed an intelligent water meter data aggregation mechanism based on distributed ledger and blockchain technology, which uses bloom filter to simulate the identity of customers. However, neither scheme [7] nor scheme [8] has conducted security analysis and comparative research.…”

Section: Introductionmentioning

confidence: 99%

A secure smart water meter data aggregation scheme based on edge computing

Fan

Zeng

Liu

2022

International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP 2022)

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Smart metering was initially used for electricity and natural gas. Smart water meters (SWMs) have attracted much attention in recent years. SWMs are installed in users' homes to collect users with water consumption information. However, SWMs real-time data collection can reveal users' private information. The paper proposes a secure smart water meter data aggregation scheme based on edge computing. The solution adopts Boneh-Goh-Nissim cryptosystem, BLS short signature and edge computing to protect users' privacy information. It can resist various attacks and protect the water consumption data of users from being leaked. The solution can resist various attacks while protecting the user's water consumption data information from being leaked. The performance evaluation shows that the communication cost of this scheme are lower than those of the existing schemes.

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A Privacy-protection Scheme for Smart Water Grid Based on Blockchain and Machine Learning

Cited by 6 publications

References 7 publications

Blockchain Systems, Technologies, and Applications: A Methodology Perspective

Blockchain Systems, Technologies, and Applications: A Methodology Perspective

Routing Strategies for LoRaWAN Multi-Hop Networks: A Survey and an SDN-Based Solution for Smart Water Grid

A secure smart water meter data aggregation scheme based on edge computing

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