An application of Netspot to Detect Anomalies in IoT

Abstract

In the world of Internet of Things (IoT) the increase in number of devices and their applications are increasingly diversified. In order to improve the overall security in IoT we need to emphasize the aspects of network traffic security. One way to monitor the network traffic is to detect network anomalies. In this study, we will examine the application of netspot to find the anomalies in IoT network traffic. Netspot is an implementation of the Streaming Peaks Over Threshold (SPOT) algorithm and this study proved that the anomalies can be identified through statistics that netspot calculates and monitor from the traffic of a low network activity. We examined that the tested solution is efficient and it can be used in environments that have moderate computing resources. After analyzing with SPOT algorithm, the result is purely statistical and it is minimal. This study also demonstrates some issues that have arisen when netspot is initialized in a network with low activities.