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A Language Based Security Approach for Securing Map-Reduce Computations in the Cloud

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.