Category: IEEE 2017

A Scalable Two-Phase Top-Down Specialization Approach for Data Anonymization Using MapReduce on Cloud

A Scalable Two-Phase Top-Down Specialization Approach for  Data Anonymization Using MapReduce on Cloud A large number of cloud services require users to share private data like electronic health records fordata analysis or mining, bringing privacy concerns. Anonymizing data sets via generalization to satisfy certain privacy requirements such as k-anonymity is a widely used category of privacy preserving techniques. At present, the scale of data in many cloud applications […]


A Hybrid Cloud Approach for Secure Authorized Deduplication

A Hybrid Cloud Approach for Secure Authorized Deduplication Data deduplication is one of important data compression techniques for eliminating duplicate copies of repeating data, and has been widely used in cloud storage to reduce the amount of storage space and save bandwidth. To protect the confidentiality of sensitive data while supporting deduplication, the convergent encryption technique has been proposed to […]