Protecting Frequent Patterns Using Distributed Security on M-Clouds

Provided by: Creative Commons
Topic: Cloud
Format: PDF
As the age of big data evolves, outsourcing of data mining tasks to multi-cloud environments has become a popular trend. To ensure the data privacy in outsourcing of mining tasks, the concept of support anonymity was proposed to hide sensitive information about patterns. Existing methods that tackle the privacy issues, however, do not address the related parallel mining techniques. To fill this gap, the authors refer to a pseudo taxonomy based technique, called as k-support anonymity, and improve it into multi-cloud environments with secrete sharing scheme.

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