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The testbed presented in this study supplies various devices to emulate a smart home. The paper highlights how devices can be connected and programmed to perform functions using an application programming interface. Remote-controlled robots in the testbed enable a user to manipulate, monitor, and configure home-based Internet-of-Things (IoT) technologies. The paper describes the equipment used in the testbed, including a wireless security camera, a smart lock, a climate sensor, and two types of robots. Security measures implemented in the testbed are also discussed. Several application scenarios are presented and analyzed on how they were accomplished to demonstrate the functionalities. The smart home testbed is a useful resource for education and development, as it allows for sufficient performance using a single control point. 

Implicit authentication for traditional objects, such as doors and dumbbells, has rich applications but is rarely studied. An ongoing trend is that traditional objects are retrofitted to smart environments; for instance, a contact sensor is attached to a door to detect door opening (but cannot tell "who is opening the door"). We present the first accurate implicit-authentication system for retrofitted everyday objects, named MoMatch. It makes an authentication decision based on a single natural object use, unlike prior work that requires shaking objects. MoMatch is built on the observation that an object has a motion typically because a human hand moves it; thus, the object's motion and the legitimate user's hand movement should correlate. The main challenge is, given the small amount of data collected during one object use, how to measure the correlation accurately. We convert the correlation measurement problem into an image comparison problem and resolve it using neural networks successfully. MoMatch does not need to profile the user's biometric information and is resilient to mimicry attacks. 

As Internet of Things (IoT) technology becomes more widespread and commonplace in homes, the efficiency of these devices using available bandwidth is becoming more of a concern, as the number of connected devices in a home increase drastically. If each device is controlled using a separate Application Programming Interface (API), the strain on a network will be much worse than it would if all these devices are controlled from a single point. This single point could handle all commands to and from the devices, thereby decreasing the network load. The framework of a testbed presented in this paper will allow developers to build an API around the devices included in the testbed. Then test their algorithms and other research methods from a remote location.