Wireless Ad Hoc Networks are self-organizing networks deployed without any centralized infrastructure. Flooding based Denial-of-Service (DoS) attacks were targeting the constrained resources of mobile nodes as well as the network. Route Request (RREQ) flooding attack is one of the prominent DoS attacks launched from the network layer in which the attacker sends a huge number of spoofed Route Request (RREQ) packets which not only overflows the target buffer but also creates network congestion. In this work, novel methods were suggested for defending RREQ flooding attack in Wireless Ad Hoc Network using two well-known frameworks in uncertain reasoning namely Bayesian Inference and Dempster-Shafer (D-S) evidence theory. The present work reports the modeling of RREQ traffic and developed an optimum algorithm for the detection of persistent RREQ flooding attack using Bayesian Inference. The algorithm was further refined for the detection of high rate and low rate pulsed RREQ flooding attack using D-S evidence theory. Based on the comprehensive evaluation using mathematical modeling and simulation, the proposed method successfully defended any type of flooding based DoS attack in Wireless Ad Hoc Network with lower communication and memory overhead.

中文翻译：

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使用不确定推理对无线自组织网络中基于泛洪的拒绝服务攻击进行建模和检测

无线自组织网络是在没有任何集中基础设施的情况下部署的自组织网络。基于泛洪的拒绝服务 (DoS) 攻击的目标是移动节点和网络的受限资源。路由请求 (RREQ) 泛洪攻击是从网络层发起的著名 DoS 攻击之一，攻击者在该攻击中发送大量欺骗路由请求 (RREQ) 数据包，不仅会溢出目标缓冲区，还会造成网络拥塞。在这项工作中，提出了使用两个著名的不确定推理框架即贝叶斯推理和登普斯特-谢弗 (DS) 证据理论来防御无线自组织网络中的 RREQ 泛洪攻击的新方法。目前的工作报告了 RREQ 流量的建模，并开发了一种使用贝叶斯推理检测持续 RREQ 泛洪攻击的最佳算法。使用DS证据理论对算法进行了进一步细化，以检测高速率和低速率脉冲RREQ泛洪攻击。基于使用数学建模和仿真的综合评估，所提出的方法以较低的通信和内存开销成功防御了无线自组织网络中任何类型的基于泛洪的 DoS 攻击。