{"title":"一个通用的网络攻击响应资源风险评估模型","authors":"Kelly Hughes, Yanzhen Qu","doi":"10.1109/ISI.2012.6284293","DOIUrl":null,"url":null,"abstract":"Summary form only given. Managers must make decisions based on limited budgets on how best to protect their networks. Resources should be allocated across three different areas: Protect, Detect, and Response. Often what might seem as an obvious solution is not the best solution for resource allocation and networks. A model using logistic regression can help a manager determine the level of probability, based on the allocation of resources, organization objectives and certain attack characteristics that the network will be within an acceptable level of risk.","PeriodicalId":199734,"journal":{"name":"2012 IEEE International Conference on Intelligence and Security Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A generic cyber attack response resource risk assessment model\",\"authors\":\"Kelly Hughes, Yanzhen Qu\",\"doi\":\"10.1109/ISI.2012.6284293\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Summary form only given. Managers must make decisions based on limited budgets on how best to protect their networks. Resources should be allocated across three different areas: Protect, Detect, and Response. Often what might seem as an obvious solution is not the best solution for resource allocation and networks. A model using logistic regression can help a manager determine the level of probability, based on the allocation of resources, organization objectives and certain attack characteristics that the network will be within an acceptable level of risk.\",\"PeriodicalId\":199734,\"journal\":{\"name\":\"2012 IEEE International Conference on Intelligence and Security Informatics\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE International Conference on Intelligence and Security Informatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISI.2012.6284293\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Conference on Intelligence and Security Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISI.2012.6284293","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A generic cyber attack response resource risk assessment model
Summary form only given. Managers must make decisions based on limited budgets on how best to protect their networks. Resources should be allocated across three different areas: Protect, Detect, and Response. Often what might seem as an obvious solution is not the best solution for resource allocation and networks. A model using logistic regression can help a manager determine the level of probability, based on the allocation of resources, organization objectives and certain attack characteristics that the network will be within an acceptable level of risk.