# Fine-grained Conflict Detection of IoT Services

arXiv: https://arxiv.org/abs/2007.12487 · HTML: https://mlsanity.com/paper/2007.12487/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 23 Jul 2020.

## Built on by (most cited first, 3 of 3)

- [Conflict Detection in IoT-based Smart Homes](https://mlsanity.com/paper/2107.13179/) (2021)
- [Positional Encoding-based Resident Identification in Multi-resident Smart Homes](https://mlsanity.com/paper/2310.17836/) (2023)
- [HKD-SHO: A hybrid smart home system based on knowledge-based and data-driven services](https://mlsanity.com/paper/2402.15521/) (2024)

## Abstract (arXiv)

We propose a novel framework to detect conflicts among IoT services in a multi-resident smart home. A fine-grained conflict model is proposed considering the functional and non-functional properties of IoT services. The proposed conflict model is designed using the concept of entropy and information gain from information theory. We use a novel algorithm based on temporal proximity to detect conflicts. Experimental results on real-world datasets show the efficiency of the proposed approach.