Data mining the memory access stream to detect anomalous application behavior

dc.contributor.author	Moreira, Francis Birck	pt_BR
dc.contributor.author	Navaux, Philippe Olivier Alexandre	pt_BR
dc.contributor.author	Diener, Matthias	pt_BR
dc.contributor.author	Koren, Israel	pt_BR
dc.date.accessioned	2017-06-02T02:42:36Z	pt_BR
dc.date.issued	2017	pt_BR
dc.identifier.uri	http://hdl.handle.net/10183/159015	pt_BR
dc.format.mimetype	application/pdf
dc.language.iso	eng	pt_BR
dc.relation.ispartof	ACM International Conference on Computing Frontier ( 2017 May 15-17 : Siena, Italy). Proceedings. New York : ACM, c2017	pt_BR
dc.rights	Open Access	en
dc.subject	Tolerancia : Falhas	pt_BR
dc.subject	Memory access patterns	en
dc.subject	Machine learning	en
dc.subject	Memoria : Computadores	pt_BR
dc.subject	Single bit flips	en
dc.subject	Engenharia : Software	pt_BR
dc.title	Data mining the memory access stream to detect anomalous application behavior	pt_BR
dc.type	Trabalho completo publicado em evento	pt_BR
dc.identifier.nrb	001023031	pt_BR
dc.type.origin	Estrangeiro	pt_BR

Este item está licenciado na Creative Commons License