A New Distributed Anonymization Protocol with Minimal Loss of Information
Salheddine Kabou, Sidi Mohamed Benslimane · International Journal of Organizational and Collective Intelligence · 2016
Cloud computing represents a new business model which enables diverse benefits such as the sharing of computing resources containing personal information across multiple distributed and private databases. However, privacy and security concerns are a significant obstacle that is preventing the extensive adoption of this new technology. Anonymization is one of the solutions methods that can be used to preserve the privacy of data while still allowing the data to be used.. Most of the existing works use a k-anonymity model for preserving privacy for data subject that offers lower utility. Motivated by this, the authors develop a new distributed anonymization protocol to satisfy multiple data providers privacy requirements based on a k-concealment model that offers a higher utility with less generalisation. The experimental results show that their proposal protocol outperforms the commonly used protocols.