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一种基于遍历时间和跳数分析的新型 MANET 虫洞检测算法。

A New MANET wormhole detection algorithm based on traversal time and hop count analysis.

机构信息

Department of Communication and Systems, The Open University, Walton Hall, Milton Keynes, MK7 6AA, UK.

出版信息

Sensors (Basel). 2011;11(12):11122-40. doi: 10.3390/s111211122. Epub 2011 Nov 28.

Abstract

As demand increases for ubiquitous network facilities, infrastructure-less and self-configuring systems like Mobile Ad hoc Networks (MANET) are gaining popularity. MANET routing security however, is one of the most significant challenges to wide scale adoption, with wormhole attacks being an especially severe MANET routing threat. This is because wormholes are able to disrupt a major component of network traffic, while concomitantly being extremely difficult to detect. This paper introduces a new wormhole detection paradigm based upon Traversal Time and Hop Count Analysis (TTHCA), which in comparison to existing algorithms, consistently affords superior detection performance, allied with low false positive rates for all wormhole variants. Simulation results confirm that the TTHCA model exhibits robust wormhole route detection in various network scenarios, while incurring only a small network overhead. This feature makes TTHCA an attractive choice for MANET environments which generally comprise devices, such as wireless sensors, which possess a limited processing capability.

摘要

随着对无处不在的网络设施的需求不断增加,像移动自组网 (MANET) 这样无基础设施和自配置的系统越来越受欢迎。然而,MANET 路由安全是广泛采用的最重大挑战之一,虫洞攻击是 MANET 路由的一个特别严重的威胁。这是因为虫洞能够破坏网络流量的一个主要组成部分,同时又极难检测到。本文提出了一种基于遍历时间和跳数分析 (TTHCA) 的新虫洞检测范例,与现有算法相比,该范例始终提供卓越的检测性能,同时对所有虫洞变体具有较低的误报率。仿真结果证实,TTHCA 模型在各种网络场景中表现出强大的虫洞路由检测能力,同时仅产生较小的网络开销。此功能使 TTHCA 成为 MANET 环境的理想选择,因为 MANET 环境通常包括具有有限处理能力的设备,例如无线传感器。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cc1d/3251974/c163da6194ce/sensors-11-11122f1.jpg

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