{"title":"一种基于概率的在线和审计方法","authors":"G. Canfora, B. Cavallo","doi":"10.1109/ARES.2010.46","DOIUrl":null,"url":null,"abstract":"In this paper we consider the problem of auditing databases which support statistical sum-queries to protect the security of sensitive information. We study the special case in which the domain of the sensitive information is a discrete set; in particular, we focus on a boolean domain. Principles and techniques developed for the security of statistical databases in the case of continuous attributes do not apply here. We provide a probabilistic framework for the on-line sum-auditing and we show that sum-queries can be audited by means of a Bayesian network. Finally, we provide a preliminary analysis of the usefulness of the probabilistic approach.","PeriodicalId":360339,"journal":{"name":"2010 International Conference on Availability, Reliability and Security","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"A Probabilistic Approach for On-Line Sum-Auditing\",\"authors\":\"G. Canfora, B. Cavallo\",\"doi\":\"10.1109/ARES.2010.46\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we consider the problem of auditing databases which support statistical sum-queries to protect the security of sensitive information. We study the special case in which the domain of the sensitive information is a discrete set; in particular, we focus on a boolean domain. Principles and techniques developed for the security of statistical databases in the case of continuous attributes do not apply here. We provide a probabilistic framework for the on-line sum-auditing and we show that sum-queries can be audited by means of a Bayesian network. Finally, we provide a preliminary analysis of the usefulness of the probabilistic approach.\",\"PeriodicalId\":360339,\"journal\":{\"name\":\"2010 International Conference on Availability, Reliability and Security\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Availability, Reliability and Security\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ARES.2010.46\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Availability, Reliability and Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARES.2010.46","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper we consider the problem of auditing databases which support statistical sum-queries to protect the security of sensitive information. We study the special case in which the domain of the sensitive information is a discrete set; in particular, we focus on a boolean domain. Principles and techniques developed for the security of statistical databases in the case of continuous attributes do not apply here. We provide a probabilistic framework for the on-line sum-auditing and we show that sum-queries can be audited by means of a Bayesian network. Finally, we provide a preliminary analysis of the usefulness of the probabilistic approach.