{"title":"Graph based Metrics for Intrusion Response Measures in Computer Networks","authors":"M. Jahnke, Christian Thul, P. Martini","doi":"10.1109/LCN.2007.45","DOIUrl":null,"url":null,"abstract":"This contribution presents a graph based approach for modelling the effects of both attacks against computer networks and response measures as reactions against the attacks. Certain properties of the model graphs are utilized to quantify different response metrics which are well-kown from the pragmatic view of network security officers. Using these metrics, it is possible to (1) quantify practically relevant properties of a response measure after its application, and (2) estimate these properties for all available response measures prior to their application. The latter case is the basis for the selection of an appropriate reaction to a given attack. Our graph-based model is similar to those used in software reliability analysis and was designed for a scalable granularity in representing properties of the network and its components to be protected. Different examples show the applicability of the model and the resulting metric values.","PeriodicalId":333233,"journal":{"name":"32nd IEEE Conference on Local Computer Networks (LCN 2007)","volume":"74 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"72","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"32nd IEEE Conference on Local Computer Networks (LCN 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LCN.2007.45","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 72
Abstract
This contribution presents a graph based approach for modelling the effects of both attacks against computer networks and response measures as reactions against the attacks. Certain properties of the model graphs are utilized to quantify different response metrics which are well-kown from the pragmatic view of network security officers. Using these metrics, it is possible to (1) quantify practically relevant properties of a response measure after its application, and (2) estimate these properties for all available response measures prior to their application. The latter case is the basis for the selection of an appropriate reaction to a given attack. Our graph-based model is similar to those used in software reliability analysis and was designed for a scalable granularity in representing properties of the network and its components to be protected. Different examples show the applicability of the model and the resulting metric values.