一种基于人工免疫的无线网络异常攻击检测与隔离方法
An Artificial Immune Based Approach for Detection and Isolation Misbehavior Attacks in Wireless Networks
摘要：
移动自组织网络是一种临时网络，由自治节点管理，这些节点具有相互通信的能力，而无需固定的网络基础设施或任何中央基站。由于网络拓扑结构的动态变化、节点之间的相互信任、缺乏固定的子结构来分析节点的行为以及特定攻击线路的丢失等原因，这类网络不支持恶意节点的攻击。其中之一就是黑洞攻击。在这种攻击中，恶意节点吸收数据包并破坏它们。因此，有必要提出一种针对黑洞攻击的算法。提出了一种新的方法，提高DSR路由协议在遭遇黑洞攻击时的安全性。该方案试图根据节点在移动网络中的行为来识别恶意节点，并将其与路由隔离。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）来抵御黑洞攻击。AIS-DSR是通过广泛的模拟在ns-2环境中进行评估。结果表明，AIS-DSR在吞吐量、端到端延迟、丢包率和丢包率等方面均优于现有的解决方案。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
