Distributed Estimation in Blockchain-aided Internet of Things in the Presence of Attacks

Fuente: arXiv
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Auteurs principaux: Varmazyari, Hamid, Jiang, Yiming, Zhang, Jiangfan
Format: Preprint
Publié: 2024
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author Varmazyari, Hamid
Jiang, Yiming
Zhang, Jiangfan
author_facet Varmazyari, Hamid
Jiang, Yiming
Zhang, Jiangfan
contents Distributed estimation in a blockchain-aided Internet of Things (BIoT) is considered, where the integrated blockchain secures data exchanges across the BIoT and the storage of data at BIoT agents. This paper focuses on developing a performance guarantee for the distributed estimation in a BIoT in the presence of malicious attacks which jointly exploits vulnerabilities present in both IoT devices and the employed blockchain within the BIoT. To achieve this, we adopt the Cramer-Rao Bound (CRB) as the performance metric, and maximize the CRB for estimating the parameter of interest over the attack domain. However, the maximization problem is inherently non-convex, making it infeasible to obtain the globally optimal solution in general. To address this issue, we develop a relaxation method capable of transforming the original non-convex optimization problem into a convex optimization problem. Moreover, we derive the analytical expression for the optimal solution to the relaxed optimization problem. The optimal value of the relaxed optimization problem can be used to provide a valid estimation performance guarantee for the BIoT in the presence of attacks.
format Preprint
id arxiv_https___arxiv_org_abs_2405_03665
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Distributed Estimation in Blockchain-aided Internet of Things in the Presence of Attacks
Varmazyari, Hamid
Jiang, Yiming
Zhang, Jiangfan
Signal Processing
Distributed estimation in a blockchain-aided Internet of Things (BIoT) is considered, where the integrated blockchain secures data exchanges across the BIoT and the storage of data at BIoT agents. This paper focuses on developing a performance guarantee for the distributed estimation in a BIoT in the presence of malicious attacks which jointly exploits vulnerabilities present in both IoT devices and the employed blockchain within the BIoT. To achieve this, we adopt the Cramer-Rao Bound (CRB) as the performance metric, and maximize the CRB for estimating the parameter of interest over the attack domain. However, the maximization problem is inherently non-convex, making it infeasible to obtain the globally optimal solution in general. To address this issue, we develop a relaxation method capable of transforming the original non-convex optimization problem into a convex optimization problem. Moreover, we derive the analytical expression for the optimal solution to the relaxed optimization problem. The optimal value of the relaxed optimization problem can be used to provide a valid estimation performance guarantee for the BIoT in the presence of attacks.
title Distributed Estimation in Blockchain-aided Internet of Things in the Presence of Attacks
topic Signal Processing
url https://arxiv.org/abs/2405.03665