Abstract
This article focuses on the new privacy challenges that arise in smart homes. Specifically, the article focuses on inferring the user's activities-which may, in turn, lead to the user's privacy-via inferences through device activities and network traffic analysis. We develop techniques that are based on a cryptographically secure token circulation in a ring network consisting of smart home devices to prevent inferences from device activities, via device workflow, i.e., inferences from a coordinated sequence of devices' actuation. The solution hides the device activity and corresponding channel activities, thus preserving the individual's activities. We also extend our solution to deal with a large number of devices and devices that produce large-sized data by implementing parallel rings. Our experiments also evaluate the performance in terms of communication overheads of the proposed approach and the obtained privacy.
Original language | English (US) |
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Article number | 3 |
Journal | ACM Transactions on Cyber-Physical Systems |
Volume | 5 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2021 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Control and Optimization
- Artificial Intelligence
- Human-Computer Interaction
- Hardware and Architecture
- Computer Networks and Communications
Keywords
- Channel and device activity
- Inference attacks
- Internet of Things
- Smart homes
- User privacy