Using machine learning techniques for hardware performance counter classification and ROP attack detection
dc.contributor.author | Lehniger, Kai | |
dc.contributor.author | Varabei, Yauhen | |
dc.contributor.author | Aftowicz, Marcin | |
dc.contributor.author | Rastegar, Seyed Ehsan Hashemi | |
dc.contributor.author | Dyka, Zoya | |
dc.contributor.author | Langendörfer, Peter | |
dc.contributor.editor | Selhorst, Marcel | |
dc.contributor.editor | Loebenberger, Daniel | |
dc.contributor.editor | Nüsken, Michael | |
dc.date.accessioned | 2019-12-02T13:06:04Z | |
dc.date.available | 2019-12-02T13:06:04Z | |
dc.date.issued | 2019 | |
dc.identifier.doi | 10.18420/cdm-2019-31-27 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/30622 | |
dc.language.iso | de | |
dc.publisher | Gesellschaft für Informatik e.V. / FG KRYPTO | |
dc.relation.ispartof | crypto day matters 31 | |
dc.relation.ispartofseries | crypto day matters | |
dc.title | Using machine learning techniques for hardware performance counter classification and ROP attack detection | de |
dc.type | Text/Abstract | |
gi.citation.publisherPlace | Bonn | |
gi.conference.date | 17.-18.10.2019 | |
gi.conference.location | Qualcomm, Berlin | |
gi.conference.sessiontitle | Kurzbeitrag |
Dateien
Originalbündel
1 - 1 von 1
Lade...
- Name:
- CryptoDayMatters31-27-Lehniger.pdf
- Größe:
- 115.87 KB
- Format:
- Adobe Portable Document Format