{"title":"收集有关保安事件的定量数据","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":"{\"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}","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}
Collection of Quantitative Data on Security Incidents
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