MCloud: Secure Provenance for Mobile Cloud Users

Abstract

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 Android/TrustZone 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.

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Document Details

Document Type
Technical Report
Publication Date
Oct 03, 2016
Accession Number
AD1037353

Entities

People

  • Bogdan Carbunar

Organizations

  • Florida International University

Tags

Communities of Interest

  • Cyber
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Agreements
  • Algorithms
  • Computer Security
  • Computers
  • Contracts
  • Cybersecurity
  • Data Mining
  • Department Of Defense
  • Electronic Mail
  • Engineering
  • Information Science
  • Mathematics
  • Media
  • Mobile Application Software
  • Mobile Devices
  • Mobile Operating Systems
  • Mobile Phones
  • Network Protocols
  • Networks
  • Reliability
  • Smart Phones
  • Social Media
  • Social Networking Services
  • Social Networks
  • Standards
  • Students

Fields of Study

  • Computer science
  • Engineering

Readers

  • Cybersecurity.
  • Parallel and Distributed Computing.
  • Sensor Fusion and Tracking Systems.