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A New MANET Wormhole Detection Algorithm Based on Traversal Time and Hop Count Analysis

机译:基于穿越时间和跳数分析的MANET虫洞检测新算法

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摘要

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.
机译:随着对无处不在的网络设施的需求增加,诸如移动自组织网络(MANET)的无基础设施和自配置系统日益普及。然而,MANET路由安全性是大规模采用的最重大挑战之一,虫洞攻击是特别严重的MANET路由威胁。这是因为虫洞能够破坏网络流量的主要组成部分,同时极难检测到。本文介绍了一种基于遍历时间和跃点计数分析(TTHCA)的新虫洞检测范例,与现有算法相比,该虫洞始终如一地提供卓越的检测性能,并且所有虫洞变体的假阳性率均较低。仿真结果证实,THTHA模型在各种网络情况下均具有强大的虫洞路由检测能力,而仅产生很小的网络开销。对于通常包含具有有限处理能力的设备(例如无线传感器)的MANET环境,此功能使TTHCA成为有吸引力的选择。

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