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A sector-based random routing scheme for protecting the source location privacy in WSNs for the Internet of Things

机译:基于扇区的随机路由方案,用于保护WSN中的源位置隐私为事物的Internet

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摘要

With the development of the Internet of Things (IoT), Smart Data, which effectively support the loT for planning, operation, monitoring, control, and intelligent decision making, has received extensive interest by researchers. However, the security of the data source has not been entirely resolved. Wireless sensor networks (WSNs) are vital components of the loT for event monitoring and information gathering. Recently, source location privacy (SLP) protection in WSNs has attracted attentions as an approach to prevent adversaries from performing a backtracking strategy to capture the data sources. In view of the characteristics of the sensor nodes, the restricted computing power and the energy resource, we propose a sector-based random routing (SRR) scheme to address the SLP problem and reduce the energy consumption. In the SRR, the data packets are sent to random phantom sources that are located in different sectors and are distributed in all directions to reach the sink node. In addition, the concept of a hop threshold is presented to control the routing strategies and reduce the energy consumption. The theoretical analysis and experimental results prove that the proposed protocol efficiently reduces backtracking and direction attacks while safekeeping the balance between security and network lifetime. (C) 2019 Elsevier B.V. All rights reserved.
机译:随着事物互联网(物联网),智能数据,有效地支持规划,操作,监控,控制和智能决策的批次,已获得研究人员的广泛兴趣。但是,数据源的安全性尚未完全解决。无线传感器网络(WSNS)是对事件监控和信息收集的批次的重要组成部分。最近,WSN中的源地点隐私(SLP)保护已经吸引了关注作为防止对手执行反向策略以捕获数据源的方法的方法。鉴于传感器节点的特性,限制计算能力和能量资源,我们提出了一种基于扇区的随机路由(SRR)方案来解决SLP问题并降低能量消耗。在SRR中,数据包被发送到位于不同扇区中的随机幻像源,并在所有方向上分布到到达水槽节点。此外,提出了跳闸阈值的概念来控制路由策略并降低能量消耗。理论分析和实验结果证明,该方案有效地降低了回溯和方向攻击,同时保管安全和网络寿命之间的平衡。 (c)2019 Elsevier B.v.保留所有权利。

著录项

  • 来源
    《Future generation computer systems》 |2019年第7期|438-448|共11页
  • 作者单位

    Hohai Univ Coll Internet Things Engn 200 North Jinling Rd Changzhou 213022 Peoples R China;

    Hohai Univ Coll Internet Things Engn 200 North Jinling Rd Changzhou 213022 Peoples R China;

    Hohai Univ Coll Internet Things Engn 200 North Jinling Rd Changzhou 213022 Peoples R China;

    Hohai Univ Coll Internet Things Engn 200 North Jinling Rd Changzhou 213022 Peoples R China;

    Shenyang Ligong Univ Coll Informat Sci & Engn Shenyang 110159 Liaoning Peoples R China;

  • 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

    Internet of Things; Wireless sensor networks; Source location privacy; Phantom source;

    机译:东西互联网;无线传感器网络;源地点隐私;幻影源;

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