An SQL-like Query Tool for Data Anonymization and Outsourcing

Authors

Mohamed Nassar, University of New Haven, CT, USAFollow
Adel Al-Rahal Orabi, Ticket Laboratories, Antonine University, LebanonFollow
Marwan Doha, Ticket Laboratories, Antonine University, LebanonFollow
Bechara al Bouna, Ticket Laboratories, Antonine University, LebanonFollow

Author URLs

Dr. Mohamed Nassar's Faculty Profile.

Document Type

Article

Publication Date

6-2015

Subject: LCSH

Computer security, Data encryption (Computer science)

Disciplines

Computer Engineering | Computer Sciences | Electrical and Computer Engineering

Abstract

Data anonymization is an important preprocessing step for data sharing and the delegation of data storage to the cloud. In this paper, we propose an SQL-like query language and a tool to help the data provider ensuring the quality and the privacy of the data being outsourced. The tool supports a set of recent and well-known anonymization techniques in an SQL query style. We present our framework and the language capabilities. We report on experimental evaluation and results.

Comments

Article published in 2015 International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA).

University of New Haven community members can access the full-text here.

DOI

10.1109/CyberSA.2015.7166130

Repository Citation

Nassar, Mohamed; Orabi, Adel Al-Rahal; Doha, Marwan; and al Bouna, Bechara, "An SQL-like Query Tool for Data Anonymization and Outsourcing" (2015). Electrical & Computer Engineering and Computer Science Faculty Publications. 126.
https://digitalcommons.newhaven.edu/electricalcomputerengineering-facpubs/126

Publisher Citation

M. Nassar, A. A. -R. Orabi, M. Doha and B. Al Bouna, "An SQL-like query tool for data anonymization and outsourcing," 2015 International Conference on Cyber Situational Awareness, Data Analytics and Assessment (CyberSA), 2015, pp. 1-3, doi: 10.1109/CyberSA.2015.7166130.