Publication:
Fingerprinting encrypted network traffic types using machine learning
Date
| cris.virtual.department | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| cris.virtual.department | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| cris.virtual.department | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| cris.virtual.department | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| cris.virtual.orcid | 0000-0003-3792-5026 | |
| cris.virtual.orcid | 0000-0002-9569-9373 | |
| cris.virtual.orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| cris.virtual.orcid | 0000-0002-7271-7479 | |
| cris.virtualsource.department | 7db3840f-300f-4cd3-9f87-715eac1a46ae | |
| cris.virtualsource.department | 1a726932-beb2-4302-94c5-a7ab5d05ce6c | |
| cris.virtualsource.department | 176999ac-2ae1-4b31-8926-763aa2ba0ba9 | |
| cris.virtualsource.department | c857a29f-e812-4c34-b941-a94d9bec46f5 | |
| cris.virtualsource.orcid | 7db3840f-300f-4cd3-9f87-715eac1a46ae | |
| cris.virtualsource.orcid | 1a726932-beb2-4302-94c5-a7ab5d05ce6c | |
| cris.virtualsource.orcid | 176999ac-2ae1-4b31-8926-763aa2ba0ba9 | |
| cris.virtualsource.orcid | c857a29f-e812-4c34-b941-a94d9bec46f5 | |
| dc.contributor.author | Leroux, Sam | |
| dc.contributor.author | Bohez, Steven | |
| dc.contributor.author | Maenhaut, Pieter Jan | |
| dc.contributor.author | Meheus, N. | |
| dc.contributor.author | Simoens, Pieter | |
| dc.contributor.author | Dhoedt, Bart | |
| dc.contributor.imecauthor | Leroux, Sam | |
| dc.contributor.imecauthor | Maenhaut, Pieter Jan | |
| dc.contributor.imecauthor | Simoens, Pieter | |
| dc.contributor.imecauthor | Dhoedt, Bart | |
| dc.contributor.orcidimec | Leroux, Sam::0000-0003-3792-5026 | |
| dc.contributor.orcidimec | Simoens, Pieter::0000-0002-9569-9373 | |
| dc.contributor.orcidimec | Dhoedt, Bart::0000-0002-7271-7479 | |
| dc.date.accessioned | 2021-10-25T21:49:02Z | |
| dc.date.available | 2021-10-25T21:49:02Z | |
| dc.date.embargo | 9999-12-31 | |
| dc.date.issued | 2018-04 | |
| dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/31154 | |
| dc.identifier.url | learning http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=8406218 | |
| dc.source.beginpage | 1 | |
| dc.source.conference | IEEE/IFIP Network Operations and Management Symposium - NOMS | |
| dc.source.conferencedate | 23/04/2018 | |
| dc.source.conferencelocation | Taipei Taiwan | |
| dc.source.endpage | 5 | |
| dc.title | Fingerprinting encrypted network traffic types using machine learning | |
| dc.type | Proceedings paper | |
| dspace.entity.type | Publication | |
| Files | Original bundle
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| Publication available in collections: |