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A Novel Collaborative Approach for Sinkhole Detection in MANETs

机译:MANETs中新型的孔洞检测协作方法

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摘要

This paper presents a novel approach intended to detect sinkholes in MANETs running AODV. The study focuses on the detection of the well-known sinkhole attack, devoted to attract most of the surrounding network traffic by providing fake routes, and thus, invalidating alternative legitimate routes and disrupting the normal network operation. Our detection approach relies on the existence of "contamination borders", formed by legitimate nodes under the influence of the sinkhole attack and, at the same time, neighbors of non-contaminated legitimate nodes. Thus, by collecting the routing information of the neighbors, these nodes are likely to be able to properly detect sinkholes. We evaluate our approach in a simulation framework and the experimental results show the promising nature of this approach in terms of detection capabilities.
机译:本文提出了一种旨在检测运行AODV的MANET中的漏洞的新颖方法。这项研究的重点是检测众所周知的漏孔攻击,该攻击旨在通过提供伪造的路由来吸引大多数周围的网络流量,从而使替代的合法路由无效并破坏正常的网络运行。我们的检测方法依赖于“污染边界”的存在,“污染边界”是由合法节点在污水坑攻击的影响下形成的,同时还存在着未被污染的合法节点的邻居。因此,通过收集邻居的路由信息​​,这些节点很可能能够正确检测到漏洞。我们在模拟框架中评估了我们的方法,实验结果表明了这种方法在检测能力方面的有前途的性质。

著录项

  • 来源
    《Ad-hoc networks and wireless》|2014年|123-136|共14页
  • 会议地点 Benidorm(ES)
  • 作者单位

    Department of Signal Theory, Telematics and Communications, School of Computer Science and Telecommunications, CITIC-UGR, University of Granada, C/Periodista Daniel Saucedo Aranda S, 18071 Granada, Spain;

    Department of Signal Theory, Telematics and Communications, School of Computer Science and Telecommunications, CITIC-UGR, University of Granada, C/Periodista Daniel Saucedo Aranda S, 18071 Granada, Spain;

    Department of Signal Theory, Telematics and Communications, School of Computer Science and Telecommunications, CITIC-UGR, University of Granada, C/Periodista Daniel Saucedo Aranda S, 18071 Granada, Spain;

    Distributed Systems Group, Institute of Computer Science, University of Osnabrueck, Albrechtstr. 28, 49076 Osnabruck, Germany;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    AODV; Intrusion detection systems; MANETs; Poisoning attacks; Sinkhole;

    机译:AODV;入侵检测系统;移动网中毒攻击;污水池;

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