Show simple item record

dc.contributor.authorJoback, Emily
dc.contributor.authorShing, Leslie
dc.contributor.authorAlperin, Kenneth
dc.contributor.authorGomez, Steven
dc.contributor.authorJorgensen, Steven
dc.contributor.authorElkin, Gabe
dc.date.accessioned2022-11-15T18:17:56Z
dc.date.available2022-11-15T18:17:56Z
dc.date.issued2020-12-07
dc.identifier.isbn978-1-4503-8714-9
dc.identifier.urihttps://hdl.handle.net/1721.1/146469
dc.publisherACM|2020 Workshop in DYnamic and Novel Advances in Machine Learning and Intelligent Cyber Securityen_US
dc.relation.isversionofhttps://doi.org/10.1145/3477997.3478007en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceACM|2020 Workshop in DYnamic and Novel Advances in Machine Learning and Intelligent Cyber Securityen_US
dc.titleA Statistical Approach to Detecting Low-Throughput Exfiltration through the Domain Name System Protocolen_US
dc.typeArticleen_US
dc.identifier.citationJoback, Emily, Shing, Leslie, Alperin, Kenneth, Gomez, Steven, Jorgensen, Steven et al. 2020. "A Statistical Approach to Detecting Low-Throughput Exfiltration through the Domain Name System Protocol."
dc.contributor.departmentLincoln Laboratory
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-11-03T13:08:57Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2022-11-03T13:08:57Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record