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MCloud: Secure Provenance for Mobile Cloud Users

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Technical Report,31 May 2013,30 May 2016

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Florida International University Miami United States

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In this project we have developed an array of solutions for protecting and detecting fraudulent mobile device and social network data. At device level, we designed KXRay to detect the existence and location of specific instances of target data structure types in kernel or VM by observing memory accesses and training for target-specific timing-based signatures. We have developed DroidShield, a new AndroidTrustZone protection paradigm that protects user-land application data from all unauthorized accesses. We have built FitBite and Garmax, tools that attack the storage and communication protocols of sensor based trackers Fitbit and Garmin we have developed SensCrypt, a computation and storage efficient solution for securing the storage and communication of resource constrained trackers. In addition, at mobile application level, we have introduced Marco and Vamos, systems that detect plagiarized videos, falsely claimed to have been captured on mobile devices.

Subject Categories:

  • Computer Systems

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