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首页> 外文期刊>Journal of intelligent & fuzzy systems: Applications in Engineering and Technology >Detection and prevention of spoofing attacks in mobile adhoc networks using hybrid optimization algorithm
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Detection and prevention of spoofing attacks in mobile adhoc networks using hybrid optimization algorithm

机译:使用混合优化算法检测和预防移动adhoc网络中的欺骗攻击

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摘要

The nature of mobile nodes are affects the performance of MANET. The main requirement of secured MANET is use of secure protocols which ensure the network integrity, confidentiality, availability and authenticity. Recently, the secure protocols have been used to resists such attacks in MANET. Spoofing attack is one of them, which affects network by an attacker program successfully acts on another node behalf by impersonating data. In this paper, we investigate the spoofing attack problems in MANET and propose an optimal intrusion detection system (OIDS) using hybrid optimization algorithm (HOA) named as OIDS-HOA. Here, we propose an improved whale optimization (IWO) algorithm for efficient cluster formation and a cluster chain weight metrics approach (CCWW) for trust degree computation of each mobile node. Moreover, the intrusion detection system (IDS) is done by the condition check algorithm and the intrusion response action (IRA) is performed by average route trust with three different responses are: No Punishment (NP), Route Change (RC) and Route Isolate (RI). The simulation results show that the effectiveness of proposed OIDS-HOA scheme in terms of packet delivery fraction, end-end-delay, energy consumption, overhead and packet drop ratio.
机译:移动节点的性质会影响MANET的性能。安全船员的主要要求是使用安全协议,该协议确保网络完整性,机密性,可用性和真实性。最近,安全的协议已被用于抵抗MANET中的这种攻击。欺骗攻击是其中之一,它通过攻击程序成功地在另一个节点上成功地在另一个节点上行动。在本文中,我们调查了枪击中的欺骗攻击问题,并使用名为OIDS-HOA的混合优化算法(HOA)提出了最佳入侵检测系统(OID)。这里,我们提出了一种改进的鲸羽级优化(IWO)算法,用于有效的簇形成和集群链重量度量方法(CCWW),用于每个移动节点的信任度计算。此外,入侵检测系统(ID)由条件检查算法进行,并且入侵响应动作(IRA)由具有三种不同响应的平均路由信任来执行:没有惩罚(NP),路线变化(RC)和路由隔离(ri)。仿真结果表明,在分组传递分数,终端延迟,能量消耗,开销和分组降价方面,提出了OIDS-HOA方案的有效性。

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