Canopy: A Verifiable Privacy-Preserving Token Ring based Communication Protocol for Smart Homes

Autor:	Panwar, Nisha, Sharma, Shantanu, Wang, Guoxi, Mehrotra, Sharad, Venkatasubramanian, Nalini
Rok vydání:	2020
Předmět:	Computer Science - Cryptography and Security Computer Science - Distributed Parallel and Cluster Computing Computer Science - Machine Learning Computer Science - Networking and Internet Architecture
Druh dokumentu:	Working Paper
Popis:	This paper focuses on the new privacy challenges that arise in smart homes. Specifically, the paper 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, and thus, preserve 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. Comment: This version has been accepted in ACM Transactions on Cyber-Physical Systems (TCPS). A preliminary version of this paper was accepted in ACM Conference on Data and Application Security and Privacy (CODASPY) 2019. arXiv admin note: substantial text overlap with arXiv:1901.08618
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2004.03841 Zobrazit plný text záznamu View this record from Arxiv