영문내용
(English Abstract) |
Cloud computing is a new wave in the field of information technology, and it consists of a set of resources and services offered through the internet. MapReduce has been widely used as computing framework in cloud computing, it is a programming model for processing large datasets. Using the open-source Hadoop implementation of the MapReduce model, programs can be automatically parallelized and executed on a cluster of machines. In cloud computing, collusive workers can communicate, exchange information, and make an agreement with each other to return wrong results. So, the collusive workers detection is very important security issue for cloud computing. In this paper, we present a detection technique about collusive workers to improve the security and integrity performance in cloud computing.
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