December 12, 2017
Comments Off on Accuracy-Constrained Privacy-Preserving Access Control Mechanism for Relational Data
Posted in: IEEE 2017, Java
Accuracy-Constrained Privacy-Preserving Access Control Mechanism for Relational Data Access control mechanisms protect sensitive information from unauthorized users. However, when sensitive information is shared and a Privacy Protection Mechanism (PPM) is not in place, an authorized user can still compromise the privacy of a person leading to identity disclosure. A PPM can use suppression and generalization of relational data to anonymize and satisfy privacy requirements, e.g., k-anonymity and l-diversity, against […]
December 12, 2017
Comments Off on A Scalable Two-Phase Top-Down Specialization Approach for Data Anonymization Using MapReduce on Cloud
Posted in: IEEE 2017, Java
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 […]