{"title":"证券投资回报率(ROSI)——一个实用的定量模型","authors":"Wes Sonnenreich, Jason Albanese, B. Stout","doi":"10.5220/0002580202390252","DOIUrl":null,"url":null,"abstract":"Organizations need practical security benchmarking tools in order to plan effective security strategies. This paper explores a number of techniques that can be used to measure security within an organization. It proposes a new benchmarking methodology that produces results that are of strategic importance to both decision makers and technology implementers. The approach taken reflects a work-in-progress that is a combination of practical experience and direct research.","PeriodicalId":309011,"journal":{"name":"J. Res. Pract. Inf. Technol.","volume":"215 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"245","resultStr":"{\"title\":\"Return On Security Investment (ROSI) - A Practical Quantitative Modell\",\"authors\":\"Wes Sonnenreich, Jason Albanese, B. Stout\",\"doi\":\"10.5220/0002580202390252\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Organizations need practical security benchmarking tools in order to plan effective security strategies. This paper explores a number of techniques that can be used to measure security within an organization. It proposes a new benchmarking methodology that produces results that are of strategic importance to both decision makers and technology implementers. The approach taken reflects a work-in-progress that is a combination of practical experience and direct research.\",\"PeriodicalId\":309011,\"journal\":{\"name\":\"J. Res. Pract. Inf. Technol.\",\"volume\":\"215 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"245\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"J. Res. Pract. Inf. Technol.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5220/0002580202390252\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Res. Pract. Inf. Technol.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0002580202390252","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Return On Security Investment (ROSI) - A Practical Quantitative Modell
Organizations need practical security benchmarking tools in order to plan effective security strategies. This paper explores a number of techniques that can be used to measure security within an organization. It proposes a new benchmarking methodology that produces results that are of strategic importance to both decision makers and technology implementers. The approach taken reflects a work-in-progress that is a combination of practical experience and direct research.