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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Bibliographic Details

Published in:	2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing pp. 647 - 656
Main Authors:	Cong Liao, Squicciarini, Anna
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.05.2015
Subjects:	Access control Cloud computing computation integrity Containers Distributed databases logging MapReduce Monitoring provenance Yarn
Online Access:	Get full text
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