Cihan Tunc, James Durflinger, C. Mahmoudi, Valerio Formicola
{"title":"Autonomic ZTA-based Network Management Engine (AZNME)","authors":"Cihan Tunc, James Durflinger, C. Mahmoudi, Valerio Formicola","doi":"10.1109/ISSREW55968.2022.00034","DOIUrl":null,"url":null,"abstract":"The advancements in computer and networking technologies created closely connected cyberspaces. Nevertheless, this also invalidated many traditional and isolated/local network solutions and introduced higher cybersecurity risk. As a solution, NIST's Zero-Trust Architecture (ZTA) with “never trust, always verify” principle has been widely accepted; yet, its implementation, enforcement, and compliance-check mechanisms are still immature as the solutions are generally applied manually. In this paper, we present an autonomic computing based management engine for networking of a cyberspace, we refer as Autonomic ZTA-based Network Management Engine (AZNME), which monitors an asset's network connections, checks if these connections fulfill ZTA requirements, and evaluates trust continuously, and takes mitigation actions as needed. As a proof of concept, we implemented the AZNME focusing on active connections (e.g., IPs and ports) to enforce policies and create firewall rules based on trust evaluation.","PeriodicalId":178302,"journal":{"name":"2022 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSREW55968.2022.00034","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
The advancements in computer and networking technologies created closely connected cyberspaces. Nevertheless, this also invalidated many traditional and isolated/local network solutions and introduced higher cybersecurity risk. As a solution, NIST's Zero-Trust Architecture (ZTA) with “never trust, always verify” principle has been widely accepted; yet, its implementation, enforcement, and compliance-check mechanisms are still immature as the solutions are generally applied manually. In this paper, we present an autonomic computing based management engine for networking of a cyberspace, we refer as Autonomic ZTA-based Network Management Engine (AZNME), which monitors an asset's network connections, checks if these connections fulfill ZTA requirements, and evaluates trust continuously, and takes mitigation actions as needed. As a proof of concept, we implemented the AZNME focusing on active connections (e.g., IPs and ports) to enforce policies and create firewall rules based on trust evaluation.