Show simple item record

dc.contributor.authorMoreira, Francis Birckpt_BR
dc.contributor.authorNavaux, Philippe Olivier Alexandrept_BR
dc.contributor.authorDiener, Matthiaspt_BR
dc.contributor.authorKoren, Israelpt_BR
dc.date.accessioned2017-06-02T02:42:36Zpt_BR
dc.date.issued2017pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/159015pt_BR
dc.format.mimetypeapplication/pdf
dc.language.isoengpt_BR
dc.relation.ispartofACM International Conference on Computing Frontier ( 2017 May 15-17 : Siena, Italy). Proceedings. New York : ACM, c2017pt_BR
dc.rightsOpen Accessen
dc.subjectTolerancia : Falhaspt_BR
dc.subjectMemory access patternsen
dc.subjectMachine learningen
dc.subjectMemoria : Computadorespt_BR
dc.subjectSingle bit flipsen
dc.subjectEngenharia : Softwarept_BR
dc.titleData mining the memory access stream to detect anomalous application behaviorpt_BR
dc.typeTrabalho completo publicado em eventopt_BR
dc.identifier.nrb001023031pt_BR
dc.type.originEstrangeiropt_BR


Files in this item

Thumbnail
   

This item is licensed under a Creative Commons License

Show simple item record