Employing Edge Computing to Enhance Self-Defense Capabilities of IoT Devices

Abstract

Although the success in application of the Internet pushes development and applications of the Internet-of-Things (IoT) on market quickly, IoT devices are also exposed to attacks from the network, which raises the security issues of IoT devices. Most IoT devices are embedded systems, and there was little work on device security as a part of the device design because most applications force engineers to mainly focus on how to implement the systems' functions with less hardware and software design as well as less power consumption. There are many new technologies, such as AI, machine learning that could provide good solutions to device security. However, all these new technologies rely on complex calculation and large amount of memory etc., which is not part of most IoT devices, such as a smart sensor. Using edge computing to provide some security solutions for IoT devices is one approach to solve the IoT security problems. Detecting some malfunctions in the system at an IoT device by edge computing is proposed in this work to make an IoT device more secure.