Secure data outsourcing in presence of the inference problem: issues and directions

Author:

Jebali Adel1,Sassi Salma2,Jemai Abderrazak3

Affiliation:

1. Faculty of Mathematical Physical and Natural Sciences of Tunis, SERCOM Laboratory, Tunis El Manar University, Tunis, Tunisia

2. Faculty of Law Economics and Management of Jendouba, VPNC Laboratory, Jendouba University, Jendouba, Tunisia

3. Polytechnic School of Tunisia, SERCOM Laboratory, Carthage University, INSAT, Tunis, Tunisia

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Computer Science (miscellaneous)

Reference43 articles.

1. Aggarwal, G. Bawa, M. Ganesan, P. Garcia-Molina, H. Kenthapadi, K. Motwani, R. Srivastava, U. Thomas, D. & Xu, Y. (2005). Two can keep a secret: A distributed architecture for secure database services. CIDR.

2. Alsirhani, A. Bodorik, P. & Sampalli, S. (2017). Improving database security in cloud computing by fragmentation of data. In 2017 International Conference on Computer and Applications (ICCA) (pp. 43–49). IEEE.

3. An, X. Jutla, D. & Cercone, N. (2006). Dynamic inference control in privacy preference enforcement. In Proceedings of the 2006 International Conference on Privacy, Security and Trust: Bridge the Gap Between PST Technologies and Business Services (p. 24). ACM.

4. Reducing inference control to access control for normalized database schemas

5. Biskup, J. Hartmann, S. Link, S. & Lochner, J. H. (2010). Efficient inference control for open relational queries. In IFIP Annual Conference on Data and Applications Security and Privacy (pp. 162–176). Springer.

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