Verifiable Round-Robin Scheme for Smart Homes
This addresses privacy protection for smart home users, but it appears incremental as it builds on existing IoT security methods.
The paper tackles privacy risks in smart homes by preventing inferences from device and channel activities, proposing a secure scheduling method that decouples these activities to avoid attacks and leakage, with experiments validating that adversaries cannot infer activities from network traffic.
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.