  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.
