Keystrokes Inference Attack on Android: A Comparative Evaluation of Sensors and Their Fusion

Introducing motion sensors into smartphones contributed to a wide range of applications in human-phone interaction, gaming, and many others. However, built-in sensors that detect subtle motion changes (e.g. accelerometers), might also reveal information about taps on touch screens: the main user input mode. Few researchers have already demonstrated the idea of exploiting motion sensors as side-channels into inferring keystrokes. Taken at most as initial explorations, much research is still needed to analyze the practicality of the new threat and examine various aspects of its implementation. One important aspect affecting directly the attack effectiveness is the selection of the right combination of sensors, to supply inference data. Although other aspects also play crucial role (e.g. the features set), we start in this paper by focusing on the comparison of different available sensors, in terms of the inference accuracy. We consider individual sensors shipped on Android phones, and study few options of preprocessing their raw datasets as well as fusing several sensors' readings. Our results indicate an outstanding performance of the gyroscope, and the potential of sensors data fusion. However, it seems that sensors with magnetometer component or the accelerometer alone have less benefit in the context of the adverted attack

SDN in the home: A survey of home network solutions using Software Defined Networking

Software Defined Networking (SDN) is an important paradigm shift of computer networking in the last 10 years. The concept of SDN is so powerful that the potential of applying it can easily be perceived beyond the initial use case of large data centre networks. We are motivated by this perception to explore the potential use of SDN in the context of home networks specifically, even though home environments were not the driving scenario behind SDN in the first years of its development. Lacking other reviews on the subject, we performed a focused search for every article that proposes, discusses or otherwise addresses the idea of implementing SDN in home networking. We surveyed four major technical and online databases (IEEE Xplore, ACM, ScienceDirect and Wiley) to ensure the inclusion of relevant, quality and authentic works. The final filtered set included 42 articles that spanned the period from 2010 to 2017. Most of the articles address specific aspects of controlling and managing home networks, such as Quality of Experience, security, Internet caps, Internet-of-Things device management and other specific themes, while the rest of articles address the generic case of managing home networks using SDN without a special focus on a particular target application. We derive a simple taxonomy for the works on home SDN and summarize the complete set of works, highlighting few points along the way and drawing few simple statistics