Lightweight-Blockchain for Secured Wireless Sensor Networks: Energy Consumption of MAC Address-Based Proof-of-Authentication

Djene, Yves Frederic Ebobisse; Idrissi, Mohammed Sbai EL; Tardif, Pierre-Martin; Bhiri, Brahim El; Fakhri, Yadolah; Bekali, Younes Karfa

doi:10.1007/978-3-030-94188-8_18

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…However, with the growing number of attacks on WSN and their consequences, it is important to introduce security techniques in order to protect the network. In [ 18 ], a lightweight blockchain for secured WSN in single hop and centralized wireless networks was implemented. Prior to sending a message to the sink, each node hashes its MAC address and the message to send using SHA256 or MD5.…”

Section: Methodsmentioning

confidence: 99%

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A Formal Energy Consumption Analysis to Secure Cluster-Based WSN: A Case Study of Multi-Hop Clustering Algorithm Based on Spectral Classification Using Lightweight Blockchain

Djene

Idrissi

Tardif

et al. 2022

Sensors

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Wireless Sensors Networks are integrating human daily life at a fast rate. Applications cover a wide range of fields, including home security, agriculture, climate change, fire prevention, and so on and so forth. If WSN were initially flat networks, hierarchical, or cluster-based networks have been introduced in order to achieve a better performance in terms of energy efficiency, topology management, delay minimization, load balancing, routing techniques, etc. As cluster-based algorithms proved to be efficient in terms of energy balancing, security has been of less importance in the field. Data shared by nodes in a WSN can be very sensitive depending on the field of application. Therefore, it is important to ensure security at various levels of WSN. This paper proposes a formal modeling of the energy consumed to secure communications in a cluster-based WSN in general. The concept is implemented using the Proof of Authentication (POAh) paradigm of blockchain and applied to a Multi-hop Clustering Algorithm based on spectral classification. The studied metrics are residual energy in the network, the number of alive nodes, first and last dead node.

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Section: Methodsmentioning

confidence: 99%

“…Ref. [ 18 ] adapted it to secure a flat and centralized network. Although these techniques address security with regards to various attacks, most of them do not evaluate the impact of security on energy consumption.…”

Section: Related Workmentioning

confidence: 99%

A Formal Energy Consumption Analysis to Secure Cluster-Based WSN: A Case Study of Multi-Hop Clustering Algorithm Based on Spectral Classification Using Lightweight Blockchain

Djene

Idrissi

Tardif

et al. 2022

Sensors

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A Systematic Literature Review of Lightweight Blockchain for IoT

et al. 2022

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The Internet of Things (IoT) has become an essential part of our society. IoT devices are used in our houses, hospitals, cars, industry, etc., making our lives easier. Nonetheless, there are a number of serious concerns about security, privacy and performance issues in IoT. It has been proven that the aforementioned issues are strictly related to the high degree of centralisation of current IoT architecture. Thus, there is an increasing interest in adopting blockchain in IoT. However, blockchain adoption is not straightforward due to the power, storage and computational limitations of IoT. Consequently, the concept of lightweight blockchain is getting more and more attention from researchers and engineers. In this paper, we conduct a systematic literature review on the lightweight blockchain concept for IoT following the PRISMA methodology. We systematically analyse "lightweight blockchain for IoT" proposals in order to better understand the limitations of blockchain for IoT, the characteristics of the current work on this topic and further research opportunities. Specifically, we analyse the definition of lightweight blockchain that other authors give, the characteristics of the reviewed proposals, their "lightweight" aspects and their evaluation. Finally, we discuss the results of the review along with further research opportunities. Consequently, this work is mostly focused on understanding the technical and performance-related aspects of blockchain for IoT as a prelude to more specific analysis such as security (i.e., attacks, vulnerabilities, etc.).

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Lightweight-Blockchain for Secured Wireless Sensor Networks: Energy Consumption of MAC Address-Based Proof-of-Authentication

Cited by 2 publications

References 9 publications

A Formal Energy Consumption Analysis to Secure Cluster-Based WSN: A Case Study of Multi-Hop Clustering Algorithm Based on Spectral Classification Using Lightweight Blockchain

A Formal Energy Consumption Analysis to Secure Cluster-Based WSN: A Case Study of Multi-Hop Clustering Algorithm Based on Spectral Classification Using Lightweight Blockchain

A Systematic Literature Review of Lightweight Blockchain for IoT

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