论文标题
无线网络中的一种基于人工免疫的方法,用于检测和隔离行为不当攻击
An Artificial Immune Based Approach for Detection and Isolation Misbehavior Attacks in Wireless Networks
论文作者
论文摘要
MANET(移动临时网络)是一个时间网络,由自主节点管理,该节点能够在没有固定网络基础架构或任何中央基础站的情况下相互通信。由于某些原因,例如网络拓扑的动态变化,相互信任节点,缺乏固定的子结构来分析节点行为和特定进攻线的丧失,因此这种类型的网络不支持恶意节点攻击。这些攻击之一是黑洞攻击。在这次攻击中,恶意节点吸收数据包并破坏它们。因此,必须针对黑洞攻击提出算法。本文提出了一种新方法,该方法改善了DSR路由协议的安全性,以遇到黑洞攻击。该模式试图根据赛道中的节点行为来识别恶意节点,并将其隔离开路。所提出的称为AIS-DSR(人工免疫系统DSR)的协议采用AIS(人工免疫系统)来防御黑洞攻击。通过NS-2环境中的大量模拟评估AIS-DSR。结果表明,AIS-DSR在吞吐量,端到端延迟,数据包损耗率和数据包下降率方面优于其他现有解决方案。
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.