{"title":"蚂蚁,移动:大型基础设施网络防御的便携式演示","authors":"Glenn A. Fink, Keith Fligg, J. Haack","doi":"10.1109/SASOW.2013.20","DOIUrl":null,"url":null,"abstract":"Creating a self-organizing system of agents to defend large cyber infrastructures presents many challenges, one of which is demonstrating the system without trying to host it on a large real net-work of tens of thousands of machines. This abstract describes a portable demonstration of PNNL's Ant-Based Cyber Defense (ABCD) that can run on one or a few physical machines with sufficient resources. We have chosen to run the framework on hundreds of virtual machines whose number is limited only by the available memory and processing power. We collect the distributed logs and visualize the results on a large-scale visualization created to represent up to a million nodes. Our approach should be useful for other decentralized adaptive and self-organizing systems that span large numbers of physical machines.","PeriodicalId":397020,"journal":{"name":"2013 IEEE 7th International Conference on Self-Adaptation and Self-Organizing Systems Workshops","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Ants, To-Go: A Portable Demonstration of Large Infrastructure Cyber Defense\",\"authors\":\"Glenn A. Fink, Keith Fligg, J. Haack\",\"doi\":\"10.1109/SASOW.2013.20\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Creating a self-organizing system of agents to defend large cyber infrastructures presents many challenges, one of which is demonstrating the system without trying to host it on a large real net-work of tens of thousands of machines. This abstract describes a portable demonstration of PNNL's Ant-Based Cyber Defense (ABCD) that can run on one or a few physical machines with sufficient resources. We have chosen to run the framework on hundreds of virtual machines whose number is limited only by the available memory and processing power. We collect the distributed logs and visualize the results on a large-scale visualization created to represent up to a million nodes. Our approach should be useful for other decentralized adaptive and self-organizing systems that span large numbers of physical machines.\",\"PeriodicalId\":397020,\"journal\":{\"name\":\"2013 IEEE 7th International Conference on Self-Adaptation and Self-Organizing Systems Workshops\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-09-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 7th International Conference on Self-Adaptation and Self-Organizing Systems Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SASOW.2013.20\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 7th International Conference on Self-Adaptation and Self-Organizing Systems Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SASOW.2013.20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Ants, To-Go: A Portable Demonstration of Large Infrastructure Cyber Defense
Creating a self-organizing system of agents to defend large cyber infrastructures presents many challenges, one of which is demonstrating the system without trying to host it on a large real net-work of tens of thousands of machines. This abstract describes a portable demonstration of PNNL's Ant-Based Cyber Defense (ABCD) that can run on one or a few physical machines with sufficient resources. We have chosen to run the framework on hundreds of virtual machines whose number is limited only by the available memory and processing power. We collect the distributed logs and visualize the results on a large-scale visualization created to represent up to a million nodes. Our approach should be useful for other decentralized adaptive and self-organizing systems that span large numbers of physical machines.