Anomaly Detection for IoT Security: Comprehensive Survey

The increasing adoption of the Internet of Things (IoT) technology in various fields like smart home appliances, smart grids, health care systems etc., is transforming the way we live and work. But this has also called for a robust security mechanism and anomaly detection has been proven to be an effective solution to securing IoT devices. The rapid development in Machine learning, Deep Learning and related studies have brought rise to a lot of advanced methods to solve the anomaly detection problems. The objective of this paper is to discuss the challenges faced by smart devices that make use of IoT technology, in detecting anomalous behaviors in threat and risk analysis domains. This article could help readers better understand the common IoT security problems and countermeasures using anomaly detection techniques, as well as have an insight into the research trends, challenges and limitations in this domain.