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首页> 外文期刊>Mobile networks & applications >Accurate and Cognitive Intrusion Detection System (ACIDS): a Novel Black Hole Detection Mechanism in Mobile Ad Hoc Networks
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Accurate and Cognitive Intrusion Detection System (ACIDS): a Novel Black Hole Detection Mechanism in Mobile Ad Hoc Networks

机译：准确和认知的入侵检测系统（酸）：移动临时网络中的新型黑洞检测机制

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摘要

Mobile Ad-hoc Network (MANETs) is infrastructure less in nature as it is encompassed with a collection of mobile nodes. The self-configurable feature of it has proven to be beneficial in times of disaster relief and rescue operations as the mobile nodes can be effortlessly deployed regardless of the geographical location. In this network, communication take place with the aid of several cooperative routing protocols such as AODV, DSDV, DSR etc., Due to the lack of a centralized administration, the network is prone to copious routing attacks. In this paper, an intrusion detection system called 'Accurate and Cognitive Intrusion Detection System' (ACIDS) for detecting the most vulnerable packet dropping attack known as black hole attack has been developed. This system takes the parameters such as Destination Sequence Number (DSN) and Route Reply (RREP) into consideration for detecting the intruders by identifying the deviation of the chosen parameters from the normal behavior. The proposed system has been simulated using NS2 and the analysis of the results attest to the efficacy of ACIDS over AODV routing protocol in detecting packet dropping scenarios of the black hole attack.
机译：移动ad-hoc网络（MANET）的基础设施本质上较少，因为它包含一系列移动节点。由于移动节点可以毫不费力地部署，因此在灾难救济和救援行动中被证明是有益的，无论地理位置如何，都可以毫不费力地部署。在该网络中，由于缺乏集中管理，借助于多个协作路由协议，例如AODV，DSDV，DSR等，易于缺乏集中管理，网络容易发生大量的路由攻击。在本文中，已经开发出一种用于检测称为黑洞攻击最脆弱的分组攻击的“准确和认知入侵检测系统”（酸）的入侵检测系统。通过识别来自正常行为的所选参数的偏差来检测入侵者，将该系统占据目标序列号（DSN）和路由回复（RREP）的参数。已经使用NS2模拟了所提出的系统，并在检测黑洞攻击的分组丢弃场景中的酸对AODV路由协议的疗效证明结果分析。

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