{"title":"Collection of Quantitative Data on Security Incidents","authors":"Thomas Nowey, H. Federrath","doi":"10.1109/ARES.2007.57","DOIUrl":null,"url":null,"abstract":"Quantitative data about security threats is a precondition for a precise assessment of security risks and consequently for an efficient management of information security. Currently such data is hardly available, especially for small and medium-sized organizations. In this paper we discuss different ways of gathering quantitative data and present a new approach for the collection of historical data on security incidents. We propose a platform that collects, aggregates and evaluates data on security incidents from multiple organizations. We identify basic requirements for such a platform and show approaches for satisfying them. We especially emphasize the aspects of security and fairness. Finally we introduce a prototype that shows how an implementation could look like","PeriodicalId":383015,"journal":{"name":"The Second International Conference on Availability, Reliability and Security (ARES'07)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Second International Conference on Availability, Reliability and Security (ARES'07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARES.2007.57","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Quantitative data about security threats is a precondition for a precise assessment of security risks and consequently for an efficient management of information security. Currently such data is hardly available, especially for small and medium-sized organizations. In this paper we discuss different ways of gathering quantitative data and present a new approach for the collection of historical data on security incidents. We propose a platform that collects, aggregates and evaluates data on security incidents from multiple organizations. We identify basic requirements for such a platform and show approaches for satisfying them. We especially emphasize the aspects of security and fairness. Finally we introduce a prototype that shows how an implementation could look like