基于聚类和超聚类的水母重排序入侵检测与防御技术

M. Wazid, Avita Katal, R. Goudar
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引用次数: 18

摘要

拒绝服务攻击(DoS)是城域网中一种难以检测和防御的恶性攻击。水母攻击是一种新的DoS攻击,分为JF重排序攻击、JF周期性drop攻击、JF延迟方差攻击。在这三个中,JF Reorder是最有效的一个。它破坏了TCP的整个功能,并进一步产生零商品投放。因此,它的检测和预防变得至关重要。本文提出了两种新的JF重排序攻击检测技术,即基于集群的入侵检测与防御技术(CBIDPT)和基于超级集群的入侵检测与防御技术(SCBIDPT),并计算了这些技术对网络性能的改善。这些技术提高了网络的性能,同时也引入了一些延迟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cluster and super cluster based intrusion detection and prevention techniques for JellyFish Reorder Attack
Denial of service (DoS) is malignant attack in MANET which is difficult to detect and defend. Jellyfish is a new DoS attack which is categorized as JF Reorder Attack, JF Periodic Dropping Attack, JF Delay Variance Attack. Out of these three, JF Reorder is the most effective one. It disrupts the whole functionality of TCP and further produces zero goodput. So its detection and prevention becomes very crucial. In this paper we have proposed two novel JF Reorder attack detection techniques i.e. Cluster Based Intrusion Detection and Prevention Technique (CBIDPT) and Super Cluster Based Intrusion Detection and Prevention Technique (SCBIDPT) and also calculated the improvement done by these techniques on the performance of the network. These techniques improve the goodput of the network while introducing some delay.
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