Behavior Profiling and Analysis in Wireless Home Networks

In this short paper, we present a preliminary design of a behavior profiling system in wireless home network (WHN) for network security monitoring. Figure 1 illustrates a schematic architecture of the behavior profiling system that is deployed in a typical wireless home network. The goals of the proposed behavior profiling system are to i) actively learn the traffic patterns of wireless home networks, ii) detect anomalous behavior from inside networks as well as from the Internet. Based on network traffic patterns for each computer, the system builds baseline behavior profiles, and subsequently detects events of interest through behavior deviations. The contributions of this work are two-fold. First, we propose to build the behavior profiles for each computer in WHNs towards a deep understanding of the traffic patterns in wireless residential networks. Secondly, we present a systematic architecture that aims to detect anomalous behavior through real-time traffic profiling.