{"title":"An approach to the automated determination of host information value","authors":"Justin M. Beaver, R. Patton, T. Potok","doi":"10.1109/CICYBS.2011.5949398","DOIUrl":null,"url":null,"abstract":"Enterprise networks are comprised of thousands of interconnected computer hosts, each of which is capable of creating, removing, and exchanging data according to the needs of their users. Thus, the distribution of high-value, sensitive, and proprietary information across enterprise networks is poorly managed and understood. A significant technology gap in information security is the inability to automatically quantify the value of the information contained on each host in a network. Such insight would allow an enterprise to scale its defenses, react intelligently to an intrusion, manage its configuration audits, and understand the leak potential in the event that a host is compromised. This paper outlines a novel approach to the automated determination of the value of the information contained on a host computer. It involves the classification of each text document on the host machine using the frequency of the document's terms and phrases. A host information value is computed using an enterprise-defined weighting schema and applying it to a host's document distribution. The method is adaptable to specific organizational information needs, requires manual intervention only during schema creation, and is repeatable and consistent regardless of changes in information on the host machines.","PeriodicalId":436263,"journal":{"name":"2011 IEEE Symposium on Computational Intelligence in Cyber Security (CICS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 IEEE Symposium on Computational Intelligence in Cyber Security (CICS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICYBS.2011.5949398","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Enterprise networks are comprised of thousands of interconnected computer hosts, each of which is capable of creating, removing, and exchanging data according to the needs of their users. Thus, the distribution of high-value, sensitive, and proprietary information across enterprise networks is poorly managed and understood. A significant technology gap in information security is the inability to automatically quantify the value of the information contained on each host in a network. Such insight would allow an enterprise to scale its defenses, react intelligently to an intrusion, manage its configuration audits, and understand the leak potential in the event that a host is compromised. This paper outlines a novel approach to the automated determination of the value of the information contained on a host computer. It involves the classification of each text document on the host machine using the frequency of the document's terms and phrases. A host information value is computed using an enterprise-defined weighting schema and applying it to a host's document distribution. The method is adaptable to specific organizational information needs, requires manual intervention only during schema creation, and is repeatable and consistent regardless of changes in information on the host machines.