TY - GEN
T1 - Verifiable round-robin scheme for smart homes
AU - Panwar, Nisha
AU - Sharma, Shantanu
AU - Wang, Guoxi
AU - Mehrotra, Sharad
AU - Venkatasubramanian, Nalini
N1 - Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/3/13
Y1 - 2019/3/13
N2 - Advances in sensing, networking, and actuation technologies have resulted in the IoT wave that is expected to revolutionize all aspects of modern society. This paper focuses on the new challenges of privacy that arise in IoT in the context of smart homes. Specifically, the paper focuses on preventing the user’s privacy via inferences through channel and in-home device activities. We propose a method for securely scheduling the devices while decoupling the device and channels activities. The proposed solution avoids any attacks that may reveal the coordinated schedule of the devices, and hence, also, assures that inferences that may compromise individual’s privacy are not leaked due to device and channel level activities. Our experiments also validate the proposed approach, and consequently, an adversary cannot infer device and channel activities by just observing the network traffic.
AB - Advances in sensing, networking, and actuation technologies have resulted in the IoT wave that is expected to revolutionize all aspects of modern society. This paper focuses on the new challenges of privacy that arise in IoT in the context of smart homes. Specifically, the paper focuses on preventing the user’s privacy via inferences through channel and in-home device activities. We propose a method for securely scheduling the devices while decoupling the device and channels activities. The proposed solution avoids any attacks that may reveal the coordinated schedule of the devices, and hence, also, assures that inferences that may compromise individual’s privacy are not leaked due to device and channel level activities. Our experiments also validate the proposed approach, and consequently, an adversary cannot infer device and channel activities by just observing the network traffic.
KW - Channel and device activity
KW - Inference attacks
KW - Internet of things
KW - Smart homes
KW - User privacy
UR - http://www.scopus.com/inward/record.url?scp=85063918909&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85063918909&partnerID=8YFLogxK
U2 - 10.1145/3292006.3300043
DO - 10.1145/3292006.3300043
M3 - Conference contribution
AN - SCOPUS:85063918909
T3 - CODASPY 2019 - Proceedings of the 9th ACM Conference on Data and Application Security and Privacy
SP - 49
EP - 60
BT - CODASPY 2019 - Proceedings of the 9th ACM Conference on Data and Application Security and Privacy
PB - Association for Computing Machinery, Inc
T2 - 9th ACM Conference on Data and Application Security and Privacy, CODASPY 2019
Y2 - 25 March 2019 through 27 March 2019
ER -