Secure mobile technologies for proactive critical infrastructure situational awareness

Gabriel Salles-Loustau, Vidyasagar Sadhu, Dario Pompili, Saman Zonouz, Vincent Sritapan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Trustworthy operation of our national critical infrastructures, such as the electricity grid, against adversarial parties and accidental failures requires constant and secure monitoring capabilities. In this paper, Eyephone is presented to leverage secure smartphone sensing and data acquisition capabilities and enable pervasive sensing of the national critical infrastructures. The reported information by the smartphone users will notify the control center operators about particular accidental or malicious remote critical infrastructure incidents. The reporting will be proactive regarding potentially upcoming failures given the system's current risky situation, e.g., a tree close to fall on a power grid transmission line. The information will include various modalities such as images, video, audio, time and location. Eyephone will use system-wide information flow analysis and policy enforcement to prevent user privacy violations during the incident reportings. A working proof-of-concept prototype of Eyephone is implemented. Our results show that Eyephone allows secure and effective use of smartphones for real-Time situational awareness of our national critical infrastructures.

Original languageEnglish (US)
Title of host publication2016 IEEE Symposium on Technologies for Homeland Security, HST 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509007707
DOIs
StatePublished - Sep 14 2016
Event2016 IEEE Symposium on Technologies for Homeland Security, HST 2016 - Waltham, United States
Duration: May 10 2016May 11 2016

Publication series

Name2016 IEEE Symposium on Technologies for Homeland Security, HST 2016

Other

Other2016 IEEE Symposium on Technologies for Homeland Security, HST 2016
Country/TerritoryUnited States
CityWaltham
Period5/10/165/11/16

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Safety Research
  • Computer Science Applications
  • Computer Networks and Communications
  • Law

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