{"title":"EEVi——评估网络安全可视化有效性的框架","authors":"Aneesha Sethi, F. Paci, G. Wills","doi":"10.1109/ICITST.2016.7856726","DOIUrl":null,"url":null,"abstract":"Cyber-security visualization is an up-and-coming area which aims to reduce security analysts' workload by presenting information as visual analytics rather than a string of text and characters. But the adoption of the resultant visualizations has not increased. The literature indicates a research gap of a lack of guidelines and standardized evaluation techniques for effective visualization in cyber-security, as a reason for it. Therefore, this research addresses the research gap by developing a framework called EEVi for effective cyber-security visualizations for the performed task. The term ‘effective visualization’ can be defined as the features of visualization that are crucial to perform a certain task successfully. EEVi has been developed by analyzing qualitative data that leads to the formation of cognitive relationships (called links) between data that act as guidelines for effective cyber-security visualization in terms of the performed task. The methodology to develop this framework can be applied to other fields to understand cognitive relationships between data. Additionally, the analysis presents a glimpse into the usage of EEVi in cyber-security visualization.","PeriodicalId":258740,"journal":{"name":"2016 11th International Conference for Internet Technology and Secured Transactions (ICITST)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"EEVi - framework for evaluating the effectiveness of visualization in cyber-security\",\"authors\":\"Aneesha Sethi, F. Paci, G. Wills\",\"doi\":\"10.1109/ICITST.2016.7856726\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cyber-security visualization is an up-and-coming area which aims to reduce security analysts' workload by presenting information as visual analytics rather than a string of text and characters. But the adoption of the resultant visualizations has not increased. The literature indicates a research gap of a lack of guidelines and standardized evaluation techniques for effective visualization in cyber-security, as a reason for it. Therefore, this research addresses the research gap by developing a framework called EEVi for effective cyber-security visualizations for the performed task. The term ‘effective visualization’ can be defined as the features of visualization that are crucial to perform a certain task successfully. EEVi has been developed by analyzing qualitative data that leads to the formation of cognitive relationships (called links) between data that act as guidelines for effective cyber-security visualization in terms of the performed task. The methodology to develop this framework can be applied to other fields to understand cognitive relationships between data. Additionally, the analysis presents a glimpse into the usage of EEVi in cyber-security visualization.\",\"PeriodicalId\":258740,\"journal\":{\"name\":\"2016 11th International Conference for Internet Technology and Secured Transactions (ICITST)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 11th International Conference for Internet Technology and Secured Transactions (ICITST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICITST.2016.7856726\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 11th International Conference for Internet Technology and Secured Transactions (ICITST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITST.2016.7856726","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
EEVi - framework for evaluating the effectiveness of visualization in cyber-security
Cyber-security visualization is an up-and-coming area which aims to reduce security analysts' workload by presenting information as visual analytics rather than a string of text and characters. But the adoption of the resultant visualizations has not increased. The literature indicates a research gap of a lack of guidelines and standardized evaluation techniques for effective visualization in cyber-security, as a reason for it. Therefore, this research addresses the research gap by developing a framework called EEVi for effective cyber-security visualizations for the performed task. The term ‘effective visualization’ can be defined as the features of visualization that are crucial to perform a certain task successfully. EEVi has been developed by analyzing qualitative data that leads to the formation of cognitive relationships (called links) between data that act as guidelines for effective cyber-security visualization in terms of the performed task. The methodology to develop this framework can be applied to other fields to understand cognitive relationships between data. Additionally, the analysis presents a glimpse into the usage of EEVi in cyber-security visualization.