Pervasive AI for Secure and Scalable IoT- Edge-Cloud Continuum: A Big Picture
Deepak Puthal, Saraju P. Mohanty, Chan Yeob Yeun, Ernesto Damiani, Biswajeet Pradhan · 2023
The proliferation of Internet of Things (IoT) devices has led to an explosion of data generated at the edge of the network. This has led to the development of the IoT -Edge-Cloud continuum, where data is processed and analyzed across multiple layers of the network. However, this also poses significant security and privacy challenges, as sensitive data is transmitted across the network. In this paper, we propose the use of Pervasive Artificial Intelligence (AI) to enhance the security and efficiency of the IoT -Edge-Cloud continuum. Pervasive AI can be used at each layer of the network to process and analyze data in real-time, reducing the amount of data that needs to be transmitted across the network. This can help to improve response times, reduce network traffic, and enhance security by keeping data localized. We also discuss the potential cybersecurity threats and future research directions for the use of Pervasive AI in the IoT - Edge-Cloud continuum. Our findings suggest that Pervasive AI has significant potential to enhance the security and efficiency of the IoT -Edge-Cloud continuum, and should be considered as a viable solution for future IoT deployments.