基于群智能的MANET包复制攻击入侵检测与防御机制

G. Indirani, K. Selvakumar, V. Sivaaamasundari
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引用次数: 11

摘要

由于MANET的性质,它比有线网络更容易受到攻击。为此,本文设计了一种用于manet的入侵检测系统(IDS)来检测异常行为和滥用行为。群体智能是一个相对较新的领域。这些算法,就像它们的自然灵感系统一样,显示出自适应、可扩展和鲁棒性的理想特性。本项目的目的是检测和执行包复制攻击的防御机制。一个数据包复制问题减少了NS2模拟器的MANET,每个数据包在其源的IP层被复制。复制次数由目的路由表项的数量决定,每个数据包用NS2提供的tree-id唯一标识,多余的数据包在接收端IP层被丢弃。采用吞吐量、接收包率、发送包率、端到端延迟、带宽和延迟等参数对入侵检测系统的性能进行了验证。
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Intrusion detection and defense mechanism for packet replication attack over MANET using swarm intelligence
Due to the nature of a MANET, it is much more vulnerable to attack than a wired network. As a result, an Intrusion Detection System (IDS) for MANETs is designed to detect anomalous behavior and misuse. Swarm intelligence is a relatively novel field. These algorithms, like their natural systems of inspiration, show the desirable properties of being adaptive, scalable, and robust. The objective of this project is to detect and perform defense mechanism for packet replication attack. A Packet replication problem reduced by the NS2 simulator for MANET, each data packet is replicated in the IP layer at its source. The number of replication times is determined by the number of route entries for the destination, each data packet is uniquely identified with the tree-id provided by NS2 and the redundant packets are discarded in the IP layer at the receiver. The Performance of the Intrusion Detection system is verified using the parameters like Throughput, Packet-Received, Packet-Delivery Ratio, End-to-End Latency, Bandwidth and Latency.
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