{"title":"Monitoring Database Application Behavior for Intrusion Detection","authors":"J. Fonseca, M. Vieira, H. Madeira","doi":"10.1109/PRDC.2006.46","DOIUrl":null,"url":null,"abstract":"Database management systems (DBMS) represent the ultimate layer in preventing malicious data access or corruption and implement several security mechanisms to protect data. However these mechanisms cannot always stop malicious users from accessing data by exploiting system vulnerabilities. The aim of this paper is to propose an intrusion detection mechanism for DBMS to fill this gap. Our approach consists of a comprehensive representation of user database utilization profiles to perform concurrent intrusion detection. Prior to the detection it is necessary to define and learn these utilization profiles. Profiles are defined using a three level abstraction and learned directly from monitoring the database utilization in real conditions. The proposed mechanism is generic and can be easily implemented in commercial and open-source DBMS","PeriodicalId":314915,"journal":{"name":"2006 12th Pacific Rim International Symposium on Dependable Computing (PRDC'06)","volume":"43 12","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 12th Pacific Rim International Symposium on Dependable Computing (PRDC'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PRDC.2006.46","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Database management systems (DBMS) represent the ultimate layer in preventing malicious data access or corruption and implement several security mechanisms to protect data. However these mechanisms cannot always stop malicious users from accessing data by exploiting system vulnerabilities. The aim of this paper is to propose an intrusion detection mechanism for DBMS to fill this gap. Our approach consists of a comprehensive representation of user database utilization profiles to perform concurrent intrusion detection. Prior to the detection it is necessary to define and learn these utilization profiles. Profiles are defined using a three level abstraction and learned directly from monitoring the database utilization in real conditions. The proposed mechanism is generic and can be easily implemented in commercial and open-source DBMS
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