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.
Type
Publication
In Journal of Internet Technology and Secured Transactions (JITST'2020)
Authors
Associate Professor in Computer Science
Manuel Munier received his Ph.D. in Computer Science from University of Nancy in january 1999. His thesis works studied cooperative systems, advanced transaction models, distributed systems. Immediately after receiving his Ph.D., he worked as a postdoctoral researcher for INRIA Lorraine and Xerox Research Centre Europe in Grenoble.
In september 1999 he joined the University of Pau (IUT des Pays de l’Adour, département Réseaux & Télécommunications, site de Mont de Marsan). Manuel Munier is a member of ISI-Know team (Information Security and engIneering through knowledge management) of the LIUPPA (Laboratoire d’Informatique de l’Université de Pau et des Pays de l’Adour).