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Identifying and detecting black hole and gray hole attack in MANET using gray wolf optimization
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2020-10-05 , DOI: 10.1002/dac.4610
Ramesh Vatambeti 1 , Kola Sangeetha Supriya 2 , Shridhar Sanshi 1
Affiliation  

Mobile ad hoc networks (MANETs) become most vibrant and are widely used in various applications, including military, commercial sectors, and personal area networks. However, security is a major issue in routing; because of moving nodes, mainly it suffers from a black hole and gray hole attack. This kind of attack is difficult to predict and is harmful to the network. To address this problem, here, we introduce the gray wolf optimization (GWO) with trust setup data aggregation called gray wolf trust accumulation in wireless ad hoc network architecture. To maintain and enhance the security in routing, here, we update the trust setup data aggregation in GWO mechanism. After the detection of black hole and gray hole attack, we need to maintain the path stability for data transmission, trust schematic process monitor all the nodes, and maintain path stability. Using the behavior of GWO, we can detect the black hole and gray hole attack at a rate of 98.5% and also improve the packet delivery ratio by 98.2% with 10 m/s. Also, with the help of the trust setup data aggregation model, we can update our trust model and security maintenance. Thus, our proposed technique enhances the packet transmission in MANET and secures the routing layer.

中文翻译:

使用灰太狼优化识别和检测MANET中的黑洞和灰洞攻击

移动自组织网络(MANET)变得最活跃,并广泛用于各种应用程序,包括军事,商业部门和个人区域网。但是,安全性是路由中的主要问题。由于节点移动,它主要遭受黑洞和灰洞攻击。这种攻击很难预测,并且对网络有害。为了解决这个问题,在这里,我们介绍了在无线ad hoc网络体系结构中使用称为灰狼信任累积的信任设置数据聚合的灰狼优化(GWO)。为了维护和增强路由选择的安全性,我们在此更新GWO机制中的信任设置数据聚合。在检测到黑洞和灰洞攻击后,我们需要维护数据传输的路径稳定性,信任原理图过程监视所有节点,并保持路径稳定。利用GWO的行为,我们可以检测出98.5%的黑洞和灰洞攻击,并以10 m / s的速度提高包传输率98.2%。另外,借助信任设置数据聚合模型,我们可以更新我们的信任模型和安全维护。因此,我们提出的技术增强了MANET中的数据包传输,并确保了路由层的安全。
更新日期:2020-11-09
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