{"title":"通信和信息系统的定量风险管理:最新技术和挑战","authors":"Raed Labassi, Mohamed Hamdi, Tai-hoon Kim","doi":"10.1109/ASEA.2014.16","DOIUrl":null,"url":null,"abstract":"This survey paper provides an overview of the state of the art models applied to different domains, from software security to networks and communication, and establishes the link between quantitative risk management and adaptive security models. The present paper provides a detailed and comparative state of the art of the quantitative approaches to ICT risk management, as well as the mathematical models used to define the security metrics while measuring the risks.","PeriodicalId":320279,"journal":{"name":"2014 7th International Conference on Advanced Software Engineering and Its Applications","volume":"140 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quantitative Risk Management for Communication and Information Systems: State-of-the-Art and Challenges\",\"authors\":\"Raed Labassi, Mohamed Hamdi, Tai-hoon Kim\",\"doi\":\"10.1109/ASEA.2014.16\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This survey paper provides an overview of the state of the art models applied to different domains, from software security to networks and communication, and establishes the link between quantitative risk management and adaptive security models. The present paper provides a detailed and comparative state of the art of the quantitative approaches to ICT risk management, as well as the mathematical models used to define the security metrics while measuring the risks.\",\"PeriodicalId\":320279,\"journal\":{\"name\":\"2014 7th International Conference on Advanced Software Engineering and Its Applications\",\"volume\":\"140 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 7th International Conference on Advanced Software Engineering and Its Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASEA.2014.16\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 7th International Conference on Advanced Software Engineering and Its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASEA.2014.16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Quantitative Risk Management for Communication and Information Systems: State-of-the-Art and Challenges
This survey paper provides an overview of the state of the art models applied to different domains, from software security to networks and communication, and establishes the link between quantitative risk management and adaptive security models. The present paper provides a detailed and comparative state of the art of the quantitative approaches to ICT risk management, as well as the mathematical models used to define the security metrics while measuring the risks.