Towards Provenance-Based Anomaly Detection in MapReduce

MapReduce enables parallel and distributed processing of vast amount of data on a cluster of machines. However, such computing paradigm is subject to threats posed by malicious and cheating nodes or compromised user submitted code that could tamper data and computation since users maintain little co...

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Vydané v:	2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing s. 647 - 656
Hlavní autori:	Cong Liao, Squicciarini, Anna
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.05.2015
Predmet:	Access control Cloud computing computation integrity Containers Distributed databases logging MapReduce Monitoring provenance Yarn
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