Notice of Violation of IEEE Publication PrinciplesPrivacy protection in outsourced database services

Notice of Violation of IEEE Publication Principles

"Privacy Protection in Outsourced Database Services"
by Yonghong Yu and Wenyang Bai
in the Proceedings of the International Conference on Mechatronic Science, Electric Engineering
and Computer, August 2011, pp. 1726-1731

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.

This paper contains substantial duplication of original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.

Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:

"Enforcing Confidentiality Constraints on Sensitive Databases with Lightweight Trusted Clients"
by Valentina Ciriani, Sabrina De Capitani di Vimercati, Sara Foresti, Sushil Jajodia, Stefano Paraboschi, and Pierangela Samarati
in the Proceedings of the 23rd Annula IFIP WG 11.3 Working Conference on Data and Applications
Security (DBSec), July 2009

"Fragmentation and Encryption to Enforce Privacy in Data Storage"
by Valentina Ciriani, Sabrina De Capitani di Vimercati, Sara Foresti, Sushil Jajodia, Stefano Paraboschi, and Pierangela Samarati
in the Proceedings of the 12th European Symposium on Research in Computer Security (ESORICS), September 2007

"Fragmentation Design for Efficient Query Execution over Sensitive Distributed Databases"
by Valentina Ciriani, Sabrina De Capitani di Vimercati, Sara Foresti, Sushil Jajodia, Stefano Paraboschi, and Pierangela Samarati
in the Proceedings of the 29th International Conference on Distributed Computing Systems (ICDCS), June 2009

Technical consideratio- s and many significant commercial and legal regulations demand that privacy guarantees be provided whenever sensitive information is stored, processed, or communicated to external partied. In this paper, we propose a solution to enforce data confidentiality, data privacy and accountable user privacy in outsourced database services. The approach starts from a flexible definition of privacy constraints, applies encryption on information in a parsimonious way and mostly relies on attribute partition to protect sensitive information. Based on the approximation algorithm for the minimal encryption attribute partition, the approach allows storing the outsourced data on un-trusted database server and minimizing the amount of encrypted data. By combining cryptographic with auxiliary random server, the approach can reduce the computational and communication complexity of private information retrieval to provide user privacy protection. By introducing verifiable encryption and revocation of decryption based on event capsule, the approach obtains accountability when the user misbehaves. The theoretical analysis shows that our new approach can provide efficient data privacy, efficient accountable user privacy protection with lower computational complexity and not increase the cost of communication complexity simultaneously.