{"title":"Reliable Function used to Improved Security by Eliminating Malicious Nodes in VANET","authors":"Raksha Tiwari, Tripti Saxena","doi":"10.1109/ICACAT.2018.8933798","DOIUrl":null,"url":null,"abstract":"Vehicular ad hoc network is a rising direction of research in improves network and communication. It is a type of ad hoc network in which there is a decentralized type ofwireless network. It is a communication less which makes them powerless against assaults like dos. The incoming traffic flooding the victim originates from many different sources. this effectively makes it impossible to stop the attack simply by blocking a single source. an existing paper they used maliciousand irrelevant packet detection algorithm for detecting malicious node on the basis of node velocity and the frequency of packet generated depend on node maximum velocity. Basically vehicles move with speedy which cannot efficaciousrecognize malicious nodes. in our proposed work, we calculatethe average speed of vehicles and check the performance ofvehicles so that we can recognize the true malicious nodes thenapplying reliable function to detect malicious nodes. In our results, we improved packet delivery ratio, routing overheadand throughput of the network.","PeriodicalId":6575,"journal":{"name":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","volume":"20 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Advanced Computation and Telecommunication (ICACAT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACAT.2018.8933798","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Vehicular ad hoc network is a rising direction of research in improves network and communication. It is a type of ad hoc network in which there is a decentralized type ofwireless network. It is a communication less which makes them powerless against assaults like dos. The incoming traffic flooding the victim originates from many different sources. this effectively makes it impossible to stop the attack simply by blocking a single source. an existing paper they used maliciousand irrelevant packet detection algorithm for detecting malicious node on the basis of node velocity and the frequency of packet generated depend on node maximum velocity. Basically vehicles move with speedy which cannot efficaciousrecognize malicious nodes. in our proposed work, we calculatethe average speed of vehicles and check the performance ofvehicles so that we can recognize the true malicious nodes thenapplying reliable function to detect malicious nodes. In our results, we improved packet delivery ratio, routing overheadand throughput of the network.