CYHCFeb 12, 2016

Grokya: a Privacy-Friendly Framework for Ubiquitous Computing

arXiv:1602.03956v2
Originality Synthesis-oriented
AI Analysis

This addresses privacy concerns for consumers in IoT and big data contexts, but appears incremental as it builds on existing privacy-preserving concepts.

The paper tackles the problem of privacy invasion in ubiquitous computing and IoT by proposing a framework that creates consumer-owned infrastructure to protect user privacy while allowing enterprises to achieve their goals.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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