Privacy Preserving Network Security Data Analytics: Architectures and System Design

dc.contributor.authorDeYoung, Mark E.en
dc.contributor.authorKobezak, Philipen
dc.contributor.authorRaymond, David Richarden
dc.contributor.authorMarchany, Randolph C.en
dc.contributor.authorTront, Joseph G.en
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2018-04-03T16:35:43Zen
dc.date.available2018-04-03T16:35:43Zen
dc.date.issued2018-01-03en
dc.description.abstractAn incessant rhythm of data breaches, data leaks, and privacy exposure highlights the need to improve control over potentially sensitive data. History has shown that neither public nor private sector organizations are immune. Lax data handling, incidental leakage, and adversarial breaches are all contributing factors. Prudent organizations should consider the sensitive nature of network security data. Logged events often contain data elements that are directly correlated with sensitive information about people and their activities -- often at the same level of detail as sensor data. Our intent is to produce a database which holds network security data representative of people's interaction with the network mid-points and end-points without the problems of identifiability. In this paper we discuss architectures and propose a system design that supports a risk based approach to privacy preserving data publication of network security data that enables network security data analytics research.en
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/10919/82725en
dc.language.isoenen
dc.publisherUniversity of Hawaii at Manoaen
dc.relation.ispartof51st Hawaii International Conference on System Sciences, 2018en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.titlePrivacy Preserving Network Security Data Analytics: Architectures and System Designen
dc.typeConference proceedingen
dc.typePresentationen
dc.type.dcmitypeTexten

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