Impact Conflict Detection of IoT Services in Multi-resident Smart Homes
<|reference_start|>Impact Conflict Detection of IoT Services in Multi-resident Smart Homes: We propose a novel impact conflict detection framework for IoT services in multi-resident smart homes. The proposed impact assessment model is developed based on the integral of a signal deviation strategy. We mine the residents' previous service usage records to design a robust preference estimation model. We design an impact conflict detection approach using temporal proximity and preferential proximity techniques. Experimental results on real-world datasets demonstrate the effectiveness of the proposed approach.<|reference_end|>
@article{chaki2024impact,
    title={Impact Conflict Detection of IoT Services in Multi-resident Smart Homes},
    author={Dipankar Chaki, Athman Bouguettaya, Abdallah Lakhdari},
    journal={arXiv preprint arXiv:2406.00277},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.00277},
    primaryClass={cs.DC}
}