L. Chamberlain, Lauren Davis, M. Stanley, Brian Gattoni
{"title":"Automated Decision Systems for Cybersecurity and Infrastructure Security","authors":"L. Chamberlain, Lauren Davis, M. Stanley, Brian Gattoni","doi":"10.1109/SPW50608.2020.00048","DOIUrl":null,"url":null,"abstract":"This paper describes and discusses the impact of using automated decision systems (ADS), or decision automation, on the spectrum from decision support systems (DSS), where a human makes decisions based on analytics generated by the system, to intelligent decision systems based on analytics performed by Artificial Intelligence (AI) and Machine Learning (ML), and further, to fully autonomous intelligent decision systems, where a machine independently makes decisions based on its AI and ML capabilities. Specifically, we examine the use of decision automation in cybersecurity and infrastructure security and present a methodology for determining which decisions should be automated and at which level of autonomy.","PeriodicalId":413600,"journal":{"name":"2020 IEEE Security and Privacy Workshops (SPW)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Security and Privacy Workshops (SPW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPW50608.2020.00048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper describes and discusses the impact of using automated decision systems (ADS), or decision automation, on the spectrum from decision support systems (DSS), where a human makes decisions based on analytics generated by the system, to intelligent decision systems based on analytics performed by Artificial Intelligence (AI) and Machine Learning (ML), and further, to fully autonomous intelligent decision systems, where a machine independently makes decisions based on its AI and ML capabilities. Specifically, we examine the use of decision automation in cybersecurity and infrastructure security and present a methodology for determining which decisions should be automated and at which level of autonomy.