Customized Recommendation System for Optimum Privacy Model Adoption
Authors: Anagnostopoulos, Theodoros 
Ntalianis, Klimis 
Psaraftis, Konstantinos 
Mastorakis, Nikolaos 
Publisher: International Association of Research and Science
Issue Date: 1-Jan-2018
Journal: International Journal of Economics and Management Systems 
Volume: 3
Keywords: Anonymization, Privacy model, Data privacy, Relational databases
Abstract: 
A large number of companies, organizations and other entities collect and elaborate personal data from people, which are frequently published for research or other promotional purposes. This paper deals with the effective anonymization, in applications that store data in relational databases. The optimum choice of a privacy model along with its application can the effectively protect personal data and allow low percentage of information loss. In this context and, as far as the need of anonymization of a relational database is concerned, a tool, named CRPM, has been developed, which is able to propose a suitable privacy model after the data recipient has viewed and answered questions related to the dataset to protect the disclosure of sensitive data.
ISSN: 2367-8925
URI: https://uniwacris.uniwa.gr/handle/3000/2678
Type: Article
Department: Department of Business Administration 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Articles / Άρθρα

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