Anomaly detection from the operation history of DLNA devices

With the development of DLNA technology, more and more DLNA devices appear in our lives. We can extract users´ activity events from the operation history of DLNA devices, and provide various services based on them. In this paper, we discuss how to detect anomalous events from operation history of DLNA devices. As the basic technology, we first propose DLNA Probe, a system to acquire operation history from communication between DLNA devices by using ARP spoofing. Then, we discuss the selection of anomaly detection algorithms. Finally, we introduce a system for detecting anomalies from one of DLNA device.