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A secure localization scheme based on trust assessment for WSNs using blockchain technology

机译:基于BloctChain技术的基于WSN信任评估的安全定位方案

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摘要

Wireless Sensor Network (WSN) is one of the integral part of the present ubiquitous and pervasive computing. The smartness of the applications is incomplete without WSNs. Almost all the scenarios of WSNs require efficient and accurate localization process. However, the main disadvantage of the existing frameworks and algorithms is that they are not so much significant with the trust of the beacon nodes which are integral part of WSNs. This must be ensured for localization. In our present solution, we consider this issue. It is obvious to have the malicious nodes in the hostile environment of WSN operations. Our proposed solution, therefore, address this challenge and provides a trust-based framework for secure localization. It focus on the trust assessment algorithm and blockchain generation. In the localization process, trust values of each beacon node are computed based on different trust metrics and the corresponding weights are dynamically adjusted. Subsequently, for the mining process, higher trusty beacon nodes are only selected. This two-step approach ensures an updated blockchain with reliability and consistent trust values of all beacon nodes. We perform a set of simulations to validate the performance and effectiveness of the proposed algorithm. The results are comparatively analyzed based on localization accuracy, detection of malicious activities, False Positive Rate (FPR), and False Negative Rate (FNR). In all the aspects our solution outperforms the other algorithms.
机译:无线传感器网络(WSN)是目前无处不在和普遍计算的组成部分之一。没有WSN的应用程序的智能性是不完整的。几乎所有WSN的场景都需要高效和准确的本地化过程。然而,现有框架和算法的主要缺点是它们与信标节点的信任并不重要,这是WSN的组成部分。必须确保本地化。在我们现在的解决方案中,我们考虑这个问题。显而易见的是在WSN操作的恶意环境中拥有恶意节点。因此,我们提出的解决方案解决了这一挑战,并为安全本地化提供了基于信任的框架。它专注于信任评估算法和区块链。在本地化过程中,基于不同的信任度量计算每个信标节点的信任值,并且动态调整相应的权重。随后,对于挖掘过程,仅选择更高的信任信标节点。此两步方法可确保更新的区块链具有所有信标节点的可靠性和一致信任值。我们执行一组模拟以验证所提出的算法的性能和有效性。结果基于本地化精度,检测恶意活动,假阳性率(FPR)和假负率(FNR)相对分析。在所有方面,我们的解决方案胜过了其他算法。

著录项

  • 来源
    《Future generation computer systems》 |2021年第12期|221-231|共11页
  • 作者单位

    School of Electronics and Electrical Engineering Lovely Professional University Phagwara Punjab India;

    School of Computer Science and Engineering lovely Professional University Phagwara Punjab India;

    College of Engineering IT and Environment Charles Darwin University Casuarina NT Australia;

    School of Computer Science and Engineering lovely Professional University Phagwara Punjab India;

    School of Chemical Engineering and Physical Sciences Lovely Professional University Phagwara Punjab India;

    School of Electronics and Electrical Engineering Lovely Professional University Phagwara Punjab India;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    WSNs; Localization scheme; Sensor nodes; Blockchain technology; Mining;

    机译:WSNS;本地化方案;传感器节点;区块链;矿业;

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