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Secure Data Exchange and Data Leakage Detection in an Untrusted Cloud

  • Denis UlybyshevEmail author
  • Bharat Bhargava
  • Aala Oqab-Alsalem
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 899)

Abstract

In service-oriented architecture, services can communicate and share data amongst themselves. It is necessary to provide role-based access control for data. In addition, data leakages made by authorized insiders to unauthorized services should be detected and reported back to the data owner. In this paper, we propose a solution that uses role- and attribute-based access control for data exchange among services, including services hosted by untrusted environments. Our approach provides data leakage prevention and detection for multiple leakage scenarios. We also propose a damage assessment model for data leakages. The implemented prototype supports a privacy-preserving exchange of Electronic Health Records that can be hosted by untrusted cloud providers, as well as detecting leakages made by insiders.

Keywords

Data leakage detection Access control Privacy Cloud security 

Notes

Acknowledgments

This work was funded by the Northrop Grumman Cybersecurity Research Consortium. The prototype was implemented in collaboration with Northrop Grumman and W3C/MIT and presented internally to Northrop Grumman in April 2017. We would like to thank Prof. Leszek Lilien (Purdue University, Western Michigan University) and Harry Halpin (MIT) for their collaboration and valuable feedback. We are also thankful to Miguel Villarreal-Vasquez, Ganapathy Mani, Rohit Ranchal and Savvas Savvides for their help and valuable feedback.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Denis Ulybyshev
    • 1
    Email author
  • Bharat Bhargava
    • 1
  • Aala Oqab-Alsalem
    • 1
  1. 1.Computer Science Department, CERIASPurdue UniversityWest LafayetteUSA

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