• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Parallel and Distributed Systems, IEEE Transactions on >Gaussian versus Uniform Distribution for Intrusion Detection in Wireless Sensor Networks
【24h】

Gaussian versus Uniform Distribution for Intrusion Detection in Wireless Sensor Networks

机译：无线传感器网络中入侵检测的高斯分布与均匀分布

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In a Wireless Sensor Network (WSN), intrusion detection is of significant importance in many applications in detecting malicious or unexpected intruder(s). The intruder can be an enemy in a battlefield, or a malicious moving object in the area of interest. With uniform sensor deployment, the detection probability is the same for any point in a WSN. However, some applications may require different degrees of detection probability at different locations. For example, an intrusion detection application may need improved detection probability around important entities. Gaussian-distributed WSNs can provide differentiated detection capabilities at different locations but related work is limited. This paper analyzes the problem of intrusion detection in a Gaussian-distributed WSN by characterizing the detection probability with respect to the application requirements and the network parameters under both single-sensing detection and multiple-sensing detection scenarios. Effects of different network parameters on the detection probability are examined in detail. Furthermore, performance of Gaussian-distributed WSNs is compared with uniformly distributed WSNs. This work allows us to analytically formulate detection probability in a random WSN and provides guidelines in selecting an appropriate deployment strategy and determining critical network parameters.
机译：在无线传感器网络（WSN）中，入侵检测在许多应用程序中对于检测恶意或意外入侵者至关重要。入侵者可以是战场上的敌人，也可以是目标区域内的恶意移动物体。使用统一的传感器部署，WSN中任何点的检测概率都是相同的。但是，某些应用程序可能在不同位置需要不同程度的检测概率。例如，入侵检测应用程序可能需要提高重要实体周围的检测概率。高斯分布的WSN可以在不同位置提供差异化​​的检测功能，但是相关工作受到限制。本文通过描述在单感测和多感测情况下针对应用需求和网络参数的检测概率，分析了高斯分布式WSN中的入侵检测问题。详细检查了不同网络参数对检测概率的影响。此外，将高斯分布的WSN与均匀分布的WSN的性能进行了比较。这项工作使我们能够分析性地制定随机WSN中的检测概率，并为选择合适的部署策略和确定关键网络参数提供指导。

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