Privacy in Map Reduce Based Systems: A Review

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Provided by: International Journal of Computer Science and Mobile Computing (IJCSMC)
Topic: Cloud
Format: PDF
Today, every organisation generates and adds huge amount of data to the cloud. This vast amount of data which cannot be effectively captured, processed and analyzed by traditional database and search tools is called Big Data. The processing of big data is made possible by using Map Reduce, a programming model and an associated implementation, introduced by Google. MapReduce process data, which are located at different data nodes. It pushes computations to where the data resides rather than the opposite. So, Map Reduce Framework or source codes may leak sensitive data during computation process. In current implementation (Airavat) Mapper code is written by user and Reducer code is selected from a list provided by the system.
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