{"title":"Cooperative bait detection scheme to prevent collaborative blackhole or grayhole attacks by malicious nodes in MANETs","authors":"Pradeep R. Dumne, Arati Manjaramkar","doi":"10.1109/ICRITO.2016.7785004","DOIUrl":null,"url":null,"abstract":"In MANET, node changes its location so it adopt property like infrastructure-less. A group of mobile nodes which are agree and capable to establish relations, using without any fixed centralize supervision and infrastructure of the network is known as mobile ad hoc network. To start communications among the mobile nodes, they should be available to each other. But presence of malicious nodes, might fail this requirement and interrupt integrity, confidentiality, availability of network services such as routing processes. So prevention and detection of malicious nodes is a major task. In this paper, we proposed a method to resolve this problem by using malicious node detection schema based upon DSR mechanism-cooperative bait detection scheme (CBDS) which uses hybrid defense architectures. CBDS technique helps to find out malicious node by using a reverse tracing technique. The basic and proposed CBDS schemes are implemented in NS-2.35. Results are examined on the basis of throughput, PDR.","PeriodicalId":377611,"journal":{"name":"2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 5th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRITO.2016.7785004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
In MANET, node changes its location so it adopt property like infrastructure-less. A group of mobile nodes which are agree and capable to establish relations, using without any fixed centralize supervision and infrastructure of the network is known as mobile ad hoc network. To start communications among the mobile nodes, they should be available to each other. But presence of malicious nodes, might fail this requirement and interrupt integrity, confidentiality, availability of network services such as routing processes. So prevention and detection of malicious nodes is a major task. In this paper, we proposed a method to resolve this problem by using malicious node detection schema based upon DSR mechanism-cooperative bait detection scheme (CBDS) which uses hybrid defense architectures. CBDS technique helps to find out malicious node by using a reverse tracing technique. The basic and proposed CBDS schemes are implemented in NS-2.35. Results are examined on the basis of throughput, PDR.
在MANET中,节点改变其位置,使其采用无基础设施等属性。移动自组网(ad hoc network)是指在没有任何固定的集中监督和基础设施的情况下,一组相互同意并能够建立关系的移动节点。要在移动节点之间启动通信,它们应该彼此可用。但是,恶意节点的存在可能会使这一要求失效,并中断网络服务(如路由进程)的完整性、机密性和可用性。因此,预防和检测恶意节点是一个重要的任务。本文提出了一种基于DSR机制的恶意节点检测方案——采用混合防御架构的协同诱饵检测方案(CBDS)来解决这一问题。CBDS技术通过使用反向跟踪技术来发现恶意节点。基本和建议的CBDS方案在NS-2.35中实现。结果以吞吐量、PDR为基础进行检验。