MapReduce: simplified data processing on large clusters
Communications of the ACM - 50th anniversary issue: 1958 - 2008
Communications of the ACM
Efficient big data processing in Hadoop MapReduce
Proceedings of the VLDB Endowment
Encoding secure information flow with restricted delegation and revocation in Haskell
Proceedings of the 1st annual workshop on Functional programming concepts in domain-specific languages
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We present a model for securing Map/Reduce computation in the cloud. The model uses a language based security approach to enforce information flow policies that vary dynamically due to a restricted revocable delegation of access rights between principals. The decentralized label model (DLM) is used to express these policies. We present a scenario that shows the flexibility and efficiency of our model in securing Map/Reduce computations running on the cloud infrastructure.