BehavIoT: Measuring Smart Home IoT Behavior Using Network-Inferred Behavior Models
Tianrui Hu, Daniel J. Dubois, David Choffnes
Abstract
Smart home IoT platforms are typically closed systems, meaning that there is poor visibility into device behavior. Understanding device behavior is important not only for determining whether devices are functioning as expected, but also can reveal implications for privacy (e.g., surreptitious audio/video recording), security (e.g., device compromise), and safety (e.g., denial of service on a baby monitor). While there has been some work on identifying devices and a handful of activities, an open question is what is the extent to which we can automatically model the entire behavior of an IoT deployment, and how it changes over time, without any privileged access to IoT devices or platform messages.