A Solution for Controlling and Managing User Profiles based on Data Privacy for IoT Applications
Valderi R. Q. Leithardt, Douglas A. dos Santos, Luis A. Silva, Felipe, Viel, Cesar A. Zeferino, Jorge Sa Silva

TL;DR
This paper presents a flexible user profile management solution for IoT applications that enhances privacy and adapts profiles over time based on environment-specific rules, validated through simulation and testing.
Contribution
It introduces an environment-aware module for the UbiPri Middleware that dynamically adjusts user profiles to improve privacy management in IoT settings.
Findings
High adaptability of the implementation to different environments
Effective profile modifications based on environment rules
Validation through probabilistic simulation and user authentication
Abstract
IoT is an emerging area in which we expect to have billions of devices connected to the Internet by 2020. IoT applications can offer many benefits to environments, society and the economy through the interconnection and cooperation of smart objects. However, there are many privacy challenges, such as authentication, authorization, and confidentiality of personal data. With this in mind, we have developed a solution for managing user profiles based on privacy and evolution. For that, we define the criteria and characteristics for each environment. The contribution of the work also applies to the evolution of the UbiPri Middleware, with a module implemented and tested according to the rules of environments so that they can modify the user's profile over time according to their frequency in the environment. The modified profile can be raised, reduced and blocked. This implementation has…
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Taxonomy
TopicsPrivacy-Preserving Technologies in Data · Privacy, Security, and Data Protection · IoT and Edge/Fog Computing
