PIDIoT: Probabilistic Intrusion Detection for the Internet-Of-Things

The Internet-of-things promises sweeping change through increased connectivity and ubiquitous integration of technology into our lives. However, as we create economies of scale for data aggregation and processing, we also create attractive targets for various adversaries. In this work we design a lightweight, probabilistic intrusion detection system, or PIDIoT. We design PIDIoT to use operational measurements from IoT devices, with lightweight hash functions and Bloom filters to perform fuzzy anomaly detection.