CRMar 13, 2021

Incorporating Individual and Group Privacy Preferences in the Internet of Things

arXiv:2103.07781v1
Originality Incremental advance
AI Analysis

This addresses privacy concerns for IoT users and deployment owners, offering a practical solution, though it is incremental in building on existing privacy negotiation concepts.

The paper tackles the problem of managing privacy preferences in IoT environments by proposing a new negotiation mechanism that accommodates both individual and group privacy needs, with results showing it adds insignificant time overhead in prototypes across three architectures.

This paper presents a new privacy negotiation mechanism for an IoT environment that is both efficient and practical to cope with the IoT special need of seamlessness. This mechanism allows IoT users to express and enforce their personal privacy preferences in a seamless manner while interacting with IoT deployments. A key contribution of the paper is that it addresses the privacy concerns of individual users as well as a group of users where privacy preferences of all individual users are combined into a group privacy profile to be negotiated with the IoT owner. In addition, the proposed mechanism satisfies the privacy requirements of the IoT deployment owner. Finally, the proposed privacy mechanism is agnostic to the actual IoT architecture and can be used over a user-managed, edge-managed or a cloud-managed IoT architecture. Prototypes of the proposed mechanism have been implemented for each of these three architectures, and the results show the capability of the protocol to negotiate privacy while adding insignificant time overhead.

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