{"title":"利用RNN集成检测各种拒绝服务和分布式拒绝服务攻击","authors":"A. Islam, Tishna Sabrina","doi":"10.1109/ICCIT.2009.5407308","DOIUrl":null,"url":null,"abstract":"Denial-of-Service (DoS) and Distributed Denial-of-Service (DDoS) are widely known security attacks which attempt to make computer resources unavailable to its intended users. In this paper, I discuss some well known DoS and DDoS attacks. Experience shows that in the detection of these attacks human brain is more perfect than mathematical computation. Therefore, I propose a technique to incorporate the representative of human brain, Recurrent Neural Networks (RNN), to identify these attacks.","PeriodicalId":443258,"journal":{"name":"2009 12th International Conference on Computers and Information Technology","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Detection of various denial of service and Distributed Denial of Service attacks using RNN ensemble\",\"authors\":\"A. Islam, Tishna Sabrina\",\"doi\":\"10.1109/ICCIT.2009.5407308\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Denial-of-Service (DoS) and Distributed Denial-of-Service (DDoS) are widely known security attacks which attempt to make computer resources unavailable to its intended users. In this paper, I discuss some well known DoS and DDoS attacks. Experience shows that in the detection of these attacks human brain is more perfect than mathematical computation. Therefore, I propose a technique to incorporate the representative of human brain, Recurrent Neural Networks (RNN), to identify these attacks.\",\"PeriodicalId\":443258,\"journal\":{\"name\":\"2009 12th International Conference on Computers and Information Technology\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 12th International Conference on Computers and Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCIT.2009.5407308\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 12th International Conference on Computers and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIT.2009.5407308","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Detection of various denial of service and Distributed Denial of Service attacks using RNN ensemble
Denial-of-Service (DoS) and Distributed Denial-of-Service (DDoS) are widely known security attacks which attempt to make computer resources unavailable to its intended users. In this paper, I discuss some well known DoS and DDoS attacks. Experience shows that in the detection of these attacks human brain is more perfect than mathematical computation. Therefore, I propose a technique to incorporate the representative of human brain, Recurrent Neural Networks (RNN), to identify these attacks.