Towards an Interactive Visualization Framework for IoT Device Data Flow

The Internet of Things (IoT) has become commonplace in our lives. From smart refrigerators to thermostats, the heterogeneous connectivity it presents has allowed for the automation of tasks and ease of use. However, it has also led to security challenges introducing new attack vectors that are atypical to traditional computing systems. This also complicates tracing a point of system fault in case of an anomalous event or intrusion. In this paper, we propose a visualization framework that can be used to aid the detection of anomalous system events in an IoT ecosystem. This can assist in uncovering valuable insights from data interactions. The proposed framework provides a visual representation of system events in an IoT device. This can be beneficial for use in digital forensic analysis and uncovering system fault or intrusion. Also, it can be used by system administrators or consumers for situational awareness. We discuss our implementation details using a smart home system as a use case and provide future research directions.