A Survey: Soft Computing for Anomaly Detection to Mitigate IoT Abuse

Abstract

Internet of things is a group of heterogeneous devices communicating with each other over the internet. There has been a clear increase in the number of IoT devices worldwide, however with this growth and diversity comes the challenge of securing IoT devices. Conventional security mechanisms such as authentication, authorization and encryption are not sufficient, an intrusion detection system is essential to monitor and identify abnormal traffic. In this survey a comparison and analysis are performed on recent literature focused on building an anomaly-based intrusion detection model using the IoTID20 dataset.