Risk analysis in Internet of Things using EBIOS
Berrehili Fatima Zahra, Abdelhamid Belmekki · 2017
In the Internet of Things (IoT) the number of Things acting in the system grows exponentially. Nowadays, IoT is integrated into many industries and personal life. But in the next few years, it will be an important component in our everyday life and a part of critical application dealing with important data. By the way, new risks arise and securing IoT is becoming a necessity to improve the development of this industry and to increase the level of confidence. This work is a contribution to the effort of securing IoT applications. It aims to identify the most relevant weaknesses and vulnerabilities related to IoT architecture by using risk analysis based on EBIOS methodology. We aim by this work to determine the most important security risk related to an IoT application to give developer and designer of such applications a clear and efficient view of parts to focus on to build more secure and safe application.