Grokya: a Privacy-Friendly Framework for Ubiquitous Computing
Daniel Filipe G. Farinha

TL;DR
Grokya proposes a privacy-preserving framework for ubiquitous computing and IoT that balances consumer privacy with enterprise data needs by enabling consumer-owned infrastructure.
Contribution
It introduces a novel consumer-centric infrastructure model that enhances privacy while supporting enterprise data collection in IoT environments.
Findings
Framework enables privacy protection for users.
Supports enterprise data collection without compromising privacy.
Promotes consumer ownership of data infrastructure.
Abstract
In a world where for-profit enterprises are increasingly looking to maximize profits by engaging in privacy invading consumer-profiling techniques, the rise of ubiquitous computing and the Internet of Things (IoT) poses a major problem. If not acted upon quickly, the combination of Big Data with IoT will explode into a dystopian world that even George Orwell could not have predicted. The proposed project aims to fill a gap that no other solution is addressing, which is to reach a win-win scenario that works for both the enterprises and the consumers. It aims to do this by creating the building blocks for a consumer owned infrastructure that can provide both privacy for the user, and still enable the enterprises to achieve their high-level goals.
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Taxonomy
TopicsContext-Aware Activity Recognition Systems · IoT and Edge/Fog Computing · Privacy-Preserving Technologies in Data
