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- W2060385424 abstract "The Apache Hadoop® framework provides parallel processing and distributed data storage capabilities that data analytics applications can utilize to process massive sets of raw data. These Big Data applications typically run as a set of MapReduce jobs to take advantage of Hadoop's ease of service deployment and large-scale parallelism. Yet, Hadoop has not been adapted for multilevel secure (MLS) environments where data of different security classifications co-exist. To solve this problem, we have used the Security Enhanced Linux (SELinux) Linux kernel extension in a prototype cross-domain Hadoop on which multiple instances of Hadoop applications run at different sensitivity levels. Their accesses to Hadoop resources are constrained by the underlying MLS policy enforcement mechanism. A benefit of our prototype is its extension of the Hadoop Distributed File System to provide a cross-domain read-down capability for Hadoop applications without requiring complex Hadoop server components to be trustworthy." @default.
- W2060385424 created "2016-06-24" @default.
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- W2060385424 date "2013-11-01" @default.
- W2060385424 modified "2023-09-27" @default.
- W2060385424 title "Towards a Cross-Domain MapReduce Framework" @default.
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- W2060385424 doi "https://doi.org/10.1109/milcom.2013.243" @default.
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