5 Papers
5 Citations
Kun Guo is an academic researcher from Beijing University of Posts and Telecommunications. The author has contributed to research in topics: Computer science & Activity recognition. The author has an hindex of 3, co-authored 3 publications.
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Papers
Artificial Intelligence-Based Semantic Internet of Things in a User-Centric Smart City
TL;DR: A novel artificial intelligence-based semantic IoT (AI-SIoT) hybrid service architecture to integrate heterogeneous IoT devices to support intelligent services and is empowered by semantic and AI technologies, which enable flexible connections among heterogeneous devices.
99
An alternative-service recommending algorithm based on semantic similarity
Kun Guo,Yonghua Li,Yueming Lu +2 more
TL;DR: A series of semantic models for smart home systems to integrate and leverage the enormous information available from IoT are proposed and an algorithm devoted to providing appropriate alternative services when the desired service is unavailable is implemented.
5
Privacy-preserving Trajectory Generation Algorithm Considering Utility based on Semantic Similarity Awareness
Kun Guo,Dongbin Wang,Hui Zhi,Yibo Gao,Yueming Li +4 more
- 16 May 2022
TL;DR: A privacy-preserving trajectory generation algorithm based on service semantic similarity is proposed that can effectively hide the locations in real trajectories of individuals and obtain higher effectiveness for service recommendations.
2
A Hybrid Routing Mutation Mechanism based on Mutation Cost and Resource Trustworthiness in Network Moving Target Defense
Kun Guo,Yibo Gao,Dongbin Wang,Hui Zhi,Tao Zhang,Yueming Li +5 more
- 01 Jul 2022
TL;DR: Simulation results show that the proposed hybrid routing mutation mechanism can effectively enhance the ability of the routing mutation space to avoid attacked nodes and links and improve the transmission success rate of services.
1
An Activity Recognition-Assistance Algorithm Based on Hybrid Semantic Model in Smart Home
TL;DR: This work proposes a new SH architecture with smart device enabled sensor networks and develops the prototype system, and presents the hybrid semantic model based on the statistic probability model and the semantic association model, and an assistance algorithm.