A real-time chaotic encryption for multimedia data and application to secure surveillance framework for IoT system
Neila Mekki, Mohamed Hamdi, Taoufik Aguili, Tai-hoon Kim · 2018
Video surveillance is becoming more and more popular in our life. It is widely deployed in many kinds of monitoring application such as healthcare and industrial environment. However, there are many security requirements such as privacy, authentication, and confidentiality. To tackle this issue, we address chaotic systems, which have been suggested as a good promising direction with desired properties in a real-time application. Furthermore, our major contributions are two-fold. First, we discuss the properties of chaotic systems in order to encrypt multimedia data. Second, we propose a secure surveillance framework for healthcare application by intelligent integration of the efficient chaotic map to extract data in the monitored scene using a visual sensor (camera). We show that our proposed framework fulfills the security requirements for surveillance applications.