TY - GEN
T1 - Secure mobile technologies for proactive critical infrastructure situational awareness
AU - Salles-Loustau, Gabriel
AU - Sadhu, Vidyasagar
AU - Pompili, Dario
AU - Zonouz, Saman
AU - Sritapan, Vincent
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/9/14
Y1 - 2016/9/14
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84991746891&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84991746891&partnerID=8YFLogxK
U2 - 10.1109/THS.2016.7568966
DO - 10.1109/THS.2016.7568966
M3 - Conference contribution
AN - SCOPUS:84991746891
T3 - 2016 IEEE Symposium on Technologies for Homeland Security, HST 2016
BT - 2016 IEEE Symposium on Technologies for Homeland Security, HST 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE Symposium on Technologies for Homeland Security, HST 2016
Y2 - 10 May 2016 through 11 May 2016
ER -