设计一个实用的图形语法

Leonard Eusebi, S. Guarino
{"title":"设计一个实用的图形语法","authors":"Leonard Eusebi, S. Guarino","doi":"10.1109/COGSIMA.2017.7929599","DOIUrl":null,"url":null,"abstract":"Modern adversaries have become more proficient in conducting cyber-attacks against our military's command and control (C2) infrastructure. To maintain security against these threats, operators perform a range of high-fidelity security assessments of existing and evolving software systems. This is just one example of the many settings in which massive amounts of data-Big Data-can prove difficult to understand in a timely manner for taking actions and responding to threats. To support such real-time analysis, situation awareness tools must reduce the cognitive load of monitoring multiple large, simultaneous data streams. This paper seeks to provide a Pragmatic Graphical Grammar (PGG) that evolves the concept of graphical grammars into an observability-focused method of data presentation.","PeriodicalId":252066,"journal":{"name":"2017 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Designing a Pragmatic Graphical Grammar\",\"authors\":\"Leonard Eusebi, S. Guarino\",\"doi\":\"10.1109/COGSIMA.2017.7929599\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Modern adversaries have become more proficient in conducting cyber-attacks against our military's command and control (C2) infrastructure. To maintain security against these threats, operators perform a range of high-fidelity security assessments of existing and evolving software systems. This is just one example of the many settings in which massive amounts of data-Big Data-can prove difficult to understand in a timely manner for taking actions and responding to threats. To support such real-time analysis, situation awareness tools must reduce the cognitive load of monitoring multiple large, simultaneous data streams. This paper seeks to provide a Pragmatic Graphical Grammar (PGG) that evolves the concept of graphical grammars into an observability-focused method of data presentation.\",\"PeriodicalId\":252066,\"journal\":{\"name\":\"2017 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)\",\"volume\":\"110 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COGSIMA.2017.7929599\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COGSIMA.2017.7929599","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

现代对手在对我军指挥和控制(C2)基础设施进行网络攻击方面已经变得更加熟练。为了保持对这些威胁的安全性,运营商对现有和不断发展的软件系统进行了一系列高保真的安全评估。这只是众多环境中的一个例子,在这些环境中,大量的数据——大数据——可能被证明难以及时理解,难以采取行动和应对威胁。为了支持这种实时分析,态势感知工具必须减少监控多个大型同步数据流的认知负荷。本文旨在提供一种实用图形语法(PGG),它将图形语法的概念演变为一种以可观察性为中心的数据表示方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Designing a Pragmatic Graphical Grammar
Modern adversaries have become more proficient in conducting cyber-attacks against our military's command and control (C2) infrastructure. To maintain security against these threats, operators perform a range of high-fidelity security assessments of existing and evolving software systems. This is just one example of the many settings in which massive amounts of data-Big Data-can prove difficult to understand in a timely manner for taking actions and responding to threats. To support such real-time analysis, situation awareness tools must reduce the cognitive load of monitoring multiple large, simultaneous data streams. This paper seeks to provide a Pragmatic Graphical Grammar (PGG) that evolves the concept of graphical grammars into an observability-focused method of data presentation.
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
期刊最新文献
Rightward attentional bias in windshield displays: Implication towards external human machine interfaces for self-driving cars Situation-based ontologies for a computational framework for identity focusing on crime scenes Automation bias with a conversational interface: User confirmation of misparsed information Using context and robot-human communication to resolve unexpected situational conflicts A model based on rough sets for situation comprehension and projection
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1