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arXiv 2007.124872020-07-23cs.CYcs.DC

Fine-grained Conflict Detection of IoT Services

Dipankar Chaki, Athman Bouguettaya

备注：: 9 pages, 6 figures, 4 tables. This is an accepted paper and it is going to appear in the Proceedings of the 2020 IEEE International Conference on Services Computing (IEEE SCC 2020) affiliated with the 2020 IEEE World Congress on Services (IEEE SERVICES 2020), Beijing, China. arXiv admin note: text overlap with arXiv:2004.12702

英文摘要：

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.

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