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首页> 外文期刊>Journal of Computers >An Artificial Immune Based Approach for Detection and Isolation Misbehavior Attacks in Wireless Networks
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An Artificial Immune Based Approach for Detection and Isolation Misbehavior Attacks in Wireless Networks

机译:无线网络中检测和隔离不当行为攻击的人工免疫方法

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MANETs (Mobile Ad-hoc Networks) is a temporal network, which is managed by autonomous nodes, which have the ability to communicate with each other without having fixed network infrastructure or any central base station. Due to some reasons such as dynamic changes of the network topology, trusting the nodes to each other, lack of fixed substructure for the analysis of nodes’ behaviors and loss of specific offensive lines, this type of networks is not supportive against malicious nodes’ attacks. One of these attacks is black hole attack. In this attack, the malicious nodes absorb data packets and destroy them. Thus, it is essential to present an algorithm against the black hole attacks. This paper proposed a new approach, which improvement the security of DSR routing protocol to encounter the black hole attacks. This schema tries to identify malicious nodes according to nodes’ behaviors in a MANETs and isolate them from routing. The proposed protocol, called AIS-DSR (Artificial Immune System DSR) employ AIS (Artificial Immune System) to defend against black hole attacks. AIS-DSR is evaluated through extensive simulations in the ns-2 environment. The results show that AIS-DSR outperforms other existing solutions in terms of throughput, end-to-end delay, packets loss ratio and packets drop ratio.
机译:船只(移动ad-hoc网络)是一个时间网络,其由自主节点管理,该网络管理能够在没有固定网络基础设施或任何中央基站的情况下彼此通信。由于某些原因如网络拓扑的动态变化,相互信任节点,缺乏固定的子结构,用于分析节点的行为和丢失特定的攻击线,这种类型的网络不支持恶意节点的攻击。其中一个攻击是黑洞攻击。在此次攻击中,恶意节点吸收数据包并销毁它们。因此,必须对黑洞攻击呈现算法。本文提出了一种新的方法,改善了DSR路由协议的安全性,以遇到黑洞攻击。此模式试图根据船只中的节点的行为识别恶意节点,并将它们与路由隔离。所提出的协议称为AIS-DSR(人工免疫系统DSR)使用AIS(人工免疫系统)来防御黑洞攻击。 AIS-DSR通过NS-2环境中的广泛模拟进行评估。结果表明,AIS-DSR在吞吐量,端到端延迟,数据包丢失比和数据包降价方面占据了其他现有解决方案。

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