Data Controllability for Risk Management in Smart and Intelligent Systems

Abstract

Information has become a major asset in companies that have based their business on the production and exploitation of this information, but also in traditional companies that exploit their information with a view to continuously improving their processes. This is the case in collaborative systems where companies are interconnected but also in intelligent systems that have many information exchanges with there environment. It is important that companies keep control of the information they import, process and distribute. In this article, in the context of a risk management approach, we present a new security criterion: controllability.

Keywords

data quality, information security, controllability, services, smart systems