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Much of the attention surrounding mobile malware has focused on the in-depth analysis of malicious applications. While bringing the community valuable information about the methods used and data targeted by malware writers, such work has not yet been able to quantify the prevalence with which mobile devices are actually infected. In this paper , we present(More)
Garbled circuits offer a powerful primitive for computation on a user's personal data while keeping that data private. Despite recent improvements, constructing and evaluating circuits of any useful size remains expensive on the limited hardware resources of a smartphone, the primary computational device available to most users around the world. In this(More)
An important component of network resource management and security enforcement is recognizing the applications active on a network. Unfortunately payload encryption and the use of non-standard ports render traditional application identification methods marginally useful. Newer in-the-dark application discovery methods can contend with these conditions , but(More)
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