首页> 外文期刊>Internet of Things Journal, IEEE >An Anti-Tracking Source-Location Privacy Protection Protocol in WSNs Based on Path Extension
【24h】

An Anti-Tracking Source-Location Privacy Protection Protocol in WSNs Based on Path Extension

机译:基于路径扩展的无线传感器网络中反跟踪源位置隐私保护协议

获取原文
获取原文并翻译 | 示例
       

摘要

In the application field using sensor networks to monitor valuable asset, source-location anonymity is a serious concern. As a series of event packets are reported to the base station, adversaries eavesdropping on the network can backtrack to the source through traffic analysis and the RF localization techniques. This leakage of contextual information will expose sensitive or precious objects and bring down the effectiveness of sensor networks. Existing techniques such as phantom routing or source simulation are proposed to discourage the adversaries, both of which trade energy for security. In this paper, we propose a new scheme, called path extension method (PEM), providing strong protection for source-location privacy. It performs quite well even though an object occurs near the base station, while other methods cannot protect the source well in this case. In PEM, fake sources are generated dynamically after the source sends event messages to the base station, which makes it much more flexible. Fake sources form several fake paths in the network and an adversary will be induced farther away from the source if it is entrapped by any of them. The theoretical and simulation results show that PEM is efficient in protecting source-location privacy with minimal message delivery delay and acceptable overhead.
机译:在使用传感器网络监视有价值资产的应用领域中,源位置匿名性是一个严重的问题。当一系列事件数据包被报告给基站时,窃听网络上的对手可以通过流量分析和RF定位技术回溯到源。上下文信息的这种泄漏将暴露敏感或珍贵的对象,并降低传感器网络的有效性。提出了诸如幻影路由或源仿真之类的现有技术来阻止对手,这两种技术都在为安全而交换能量。在本文中,我们提出了一种称为路径扩展方法(PEM)的新方案,该方案为源位置隐私提供了强大的保护。即使在基站附近出现物体,它的性能也很好,而在这种情况下,其他方法不能很好地保护信号源。在PEM中,伪造的源将事件消息发送到基站后会动态生成伪造的源,这使其更加灵活。虚假来源会在网络中形成数条虚假路径,如果任何来源诱骗了对手,则会将其引诱到远离来源的地方。理论和仿真结果表明,PEM可有效地保护源位置私密性,并且消息传递延迟最小且开销可以接受。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号