An Advanced Bottom up Generalization Approach for Big Data on Cloud

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Provided by: IIR Publications
Topic: Data Management
Format: PDF
At present, the scale of data in many cloud applications increases tremendously in accordance with the big data trend, thereby making it a challenge for commonly used software tools to capture, manage and process such large-scale data within a tolerable elapsed time. In big data applications, data privacy is one of the most concerned issues because processing large-scale privacy-sensitive data sets often requires computation power provided by public cloud services. As a result is challenge for existing anonymization approaches to achieve privacy preservation on privacy-sensitive large-scale data sets due to their insufficiency of scalability.
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