{"title":"一种避免DRDoS攻击的协同多智能体学习方法","authors":"Tomoki Kawazoe, Naoki Fukuta","doi":"10.1109/iiai-aai53430.2021.00092","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a method for mitigating the distributed reflective denial-of-service (DRDoS) attacks using cooperative multi-agent learning. We consider how to apply the specific packet filtering mechanisms and locate the mitigating mechanisms. Finally, we present the experiment environment to confirm how the mechanism worked effectively. We conduct a simulation-based analysis of packet flows on DRDoS attacks.","PeriodicalId":414070,"journal":{"name":"2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Cooperative Multi-Agent Learning Approach for Avoiding DRDoS Attack\",\"authors\":\"Tomoki Kawazoe, Naoki Fukuta\",\"doi\":\"10.1109/iiai-aai53430.2021.00092\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a method for mitigating the distributed reflective denial-of-service (DRDoS) attacks using cooperative multi-agent learning. We consider how to apply the specific packet filtering mechanisms and locate the mitigating mechanisms. Finally, we present the experiment environment to confirm how the mechanism worked effectively. We conduct a simulation-based analysis of packet flows on DRDoS attacks.\",\"PeriodicalId\":414070,\"journal\":{\"name\":\"2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iiai-aai53430.2021.00092\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iiai-aai53430.2021.00092","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Cooperative Multi-Agent Learning Approach for Avoiding DRDoS Attack
In this paper, we propose a method for mitigating the distributed reflective denial-of-service (DRDoS) attacks using cooperative multi-agent learning. We consider how to apply the specific packet filtering mechanisms and locate the mitigating mechanisms. Finally, we present the experiment environment to confirm how the mechanism worked effectively. We conduct a simulation-based analysis of packet flows on DRDoS attacks.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
