Title :
Towards a Modeling and Analysis Framework for Privacy-Aware Systems
Author :
Colombo, Pietro ; Ferrari, Elena
Author_Institution :
Dipt. di Sci. Teoriche e Applicate, Univ. degli Studi dell´Insubria, Varese, Italy
Abstract :
Nowadays, almost any software application deals with private information. However, effective tools that support the specification and implementation of privacy-aware systems are still missing. This work makes a step to address this issue. In this paper we present MAPaS, a model based framework for the modeling and analysis of privacy-aware systems. MAPaS provides a modeling language for the privacy domain and a rich set of functionalities that allow users to easily analyze privacy-preserving characteristics of a system at the early stages of its development. In this paper, besides presenting the main modules of MaPaS, we show how it can effectively help in the development of privacy-aware systems.
Keywords :
data privacy; specification languages; MAPaS; modeling language; privacy-aware system; privacy-preserving characteristic; Analytical models; Data models; Data privacy; Privacy; Semantics; Software; Unified modeling language; Analysis Framework; Model Driven Engineering; Privacy; Software Development; UML Profile;
Conference_Titel :
Privacy, Security, Risk and Trust (PASSAT), 2012 International Conference on and 2012 International Confernece on Social Computing (SocialCom)
Conference_Location :
Amsterdam
Print_ISBN :
978-1-4673-5638-1
DOI :
10.1109/SocialCom-PASSAT.2012.12