{"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}
引用次数: 1
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.