Thomas Moyer, Karishma Chadha, R. Cunningham, N. Schear, Warren Smith, Adam Bates, Kevin R. B. Butler, F. Capobianco, T. Jaeger, Patrick T. Cable
{"title":"Leveraging Data Provenance to Enhance Cyber Resilience","authors":"Thomas Moyer, Karishma Chadha, R. Cunningham, N. Schear, Warren Smith, Adam Bates, Kevin R. B. Butler, F. Capobianco, T. Jaeger, Patrick T. Cable","doi":"10.1109/SecDev.2016.034","DOIUrl":null,"url":null,"abstract":"Building secure systems used to mean ensuring a secure perimeter, but that is no longer the case. Today's systems are ill-equipped to deal with attackers that are able to pierce perimeter defenses. Data provenance is a critical technology in building resilient systems that will allow systems to recover from attackers that manage to overcome the \"hard-shell\" defenses. In this paper, we provide background information on data provenance, details on provenance collection, analysis, and storage techniques and challenges. Data provenance is situated to address the challenging problem of allowing a system to \"fight-through\" an attack, and we help to identify necessary work to ensure that future systems are resilient.","PeriodicalId":166406,"journal":{"name":"2016 IEEE Cybersecurity Development (SecDev)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Cybersecurity Development (SecDev)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SecDev.2016.034","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
Building secure systems used to mean ensuring a secure perimeter, but that is no longer the case. Today's systems are ill-equipped to deal with attackers that are able to pierce perimeter defenses. Data provenance is a critical technology in building resilient systems that will allow systems to recover from attackers that manage to overcome the "hard-shell" defenses. In this paper, we provide background information on data provenance, details on provenance collection, analysis, and storage techniques and challenges. Data provenance is situated to address the challenging problem of allowing a system to "fight-through" an attack, and we help to identify necessary work to ensure that future systems are resilient.