{"title":"Automatic Design of Secure Enterprise Architecture: Work in Progress Paper","authors":"Robert Lagerström, Pontus Johnson, M. Ekstedt","doi":"10.1109/EDOCW.2017.19","DOIUrl":null,"url":null,"abstract":"Architecture models mainly have three functions; 1) document, 2) analyze, and 3) improve the system under consideration. All three functions have suffered from being timeconsuming and expensive, mainly due to being manual processes in need of hard to find expertise. Recent work has however automated both the data collection and the analysis. In order for enterprise architecture modeling to finally become free of manual labor the design function also needs to be automated. In this position paper we propose the Automatic Designer. A solution that employs machine learning techniques to realize the design of (near) optimal architecture solutions. This particular implementation is focused on security analysis, but could easily be extended to other topics.","PeriodicalId":315067,"journal":{"name":"2017 IEEE 21st International Enterprise Distributed Object Computing Workshop (EDOCW)","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 21st International Enterprise Distributed Object Computing Workshop (EDOCW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDOCW.2017.19","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
Architecture models mainly have three functions; 1) document, 2) analyze, and 3) improve the system under consideration. All three functions have suffered from being timeconsuming and expensive, mainly due to being manual processes in need of hard to find expertise. Recent work has however automated both the data collection and the analysis. In order for enterprise architecture modeling to finally become free of manual labor the design function also needs to be automated. In this position paper we propose the Automatic Designer. A solution that employs machine learning techniques to realize the design of (near) optimal architecture solutions. This particular implementation is focused on security analysis, but could easily be extended to other topics.