...
首页> 外文期刊>Mobile Information Systems >WRHT: A Hybrid Technique for Detection of Wormhole Attack in Wireless Sensor Networks
【24h】

WRHT: A Hybrid Technique for Detection of Wormhole Attack in Wireless Sensor Networks

机译:WRHT:一种用于检测无线传感器网络中虫洞攻击的混合技术

获取原文
获取原文并翻译 | 示例

摘要

Wormhole attack is a challenging security threat to wireless sensor networks which results in disrupting most of the routing protocols as this attack can be triggered in different modes. In this paper, WRHT, a wormhole resistant hybrid technique, is proposed, which can detect the presence of wormhole attack in a more optimistic manner than earlier techniques. WRHT is based on the concept of watchdog and Delphi schemes and ensures that the wormhole will not be left untreated in the sensor network. WRHT makes use of the dual wormhole detection mechanism of calculating probability factor time delay probability and packet loss probability of the established path in order to find the value of wormhole presence probability. The nodes in the path are given different ranking and subsequently colors according to their behavior. The most striking feature of WRHT consists of its capacity to defend against almost all categories of wormhole attacks without depending on any required additional hardware such as global positioning system, timing information or synchronized clocks, and traditional cryptographic schemes demanding high computational needs. The experimental results clearly indicate that the proposed technique has significant improvement over the existing wormhole attack detection techniques.
机译:虫孔攻击是对无线传感器网络的具有挑战性的安全威胁,由于可以以不同的方式触发此攻击,因此会破坏大多数路由协议。在本文中,提出了WRHT(一种抗虫洞的混合技术),它可以比以前的技术更乐观地检测虫洞攻击的存在。 WRHT基于看门狗和Delphi方案的概念,并确保不会在传感器网络中留下虫洞。 WRHT利用双重虫洞检测机制计算已建立路径的概率因子时间延迟概率和丢包概率,以找到虫洞存在概率的值。路径中的节点被赋予不同的等级,并根据它们的行为随后分配颜色。 WRHT最引人注目的功能在于它能够抵御几乎所有类型的虫洞攻击,而无需依赖任何必需的附加硬件,例如全球定位系统,定时信息或同步时钟,以及要求高计算需求的传统加密方案。实验结果清楚地表明,与现有的虫洞攻击检测技术相比,该技术具有明显的进步。

著录项

  • 来源
    《Mobile Information Systems》 |2016年第5期|8354930.1-8354930.13|共13页
  • 作者单位

    IKG Punjab Tech Univ, Kapurthala, Punjab, India;

    IKG Punjab Tech Univ, Kapurthala, Punjab, India;

    IKG Punjab Tech Univ, Kapurthala, Punjab, India;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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