渲染大象:为未清除的观众描述敏感网络

R. Stapleton-Gray, S. Gorton
{"title":"渲染大象:为未清除的观众描述敏感网络","authors":"R. Stapleton-Gray, S. Gorton","doi":"10.1109/IAW.2006.1652097","DOIUrl":null,"url":null,"abstract":"There is a need to convey information on sensitive networks and systems, specifically, those carrying classified information, to researchers lacking clearances. Sanitization or use of analogs allows for uncleared researchers to make contributions, but as detail is removed, data may become less useful. A number of approaches to feeding research with relevant data are described, including creation of realistic traffic from a national intelligence community network, and recommendations made for improving current practices","PeriodicalId":326306,"journal":{"name":"2006 IEEE Information Assurance Workshop","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Rendering the Elephant: Characterizing Sensitive Networks for an Uncleared Audience\",\"authors\":\"R. Stapleton-Gray, S. Gorton\",\"doi\":\"10.1109/IAW.2006.1652097\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There is a need to convey information on sensitive networks and systems, specifically, those carrying classified information, to researchers lacking clearances. Sanitization or use of analogs allows for uncleared researchers to make contributions, but as detail is removed, data may become less useful. A number of approaches to feeding research with relevant data are described, including creation of realistic traffic from a national intelligence community network, and recommendations made for improving current practices\",\"PeriodicalId\":326306,\"journal\":{\"name\":\"2006 IEEE Information Assurance Workshop\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE Information Assurance Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAW.2006.1652097\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE Information Assurance Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAW.2006.1652097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

有必要向缺乏许可的研究人员传达敏感网络和系统的信息,特别是那些携带机密信息的信息。消毒或使用类似物允许未被清除的研究人员做出贡献,但随着细节的删除,数据可能变得不那么有用。介绍了为研究提供相关数据的一些方法,包括从国家情报界网络创建实际流量,以及为改进当前做法提出的建议
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rendering the Elephant: Characterizing Sensitive Networks for an Uncleared Audience
There is a need to convey information on sensitive networks and systems, specifically, those carrying classified information, to researchers lacking clearances. Sanitization or use of analogs allows for uncleared researchers to make contributions, but as detail is removed, data may become less useful. A number of approaches to feeding research with relevant data are described, including creation of realistic traffic from a national intelligence community network, and recommendations made for improving current practices
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信