| Big data for internet of things: a survey M Ge, H Bangui, B Buhnova Future generation computer systems 87, 601-614, 2018 | 392 | 2018 |
| Moving to the edge-cloud-of-things: recent advances and future research directions H Bangui, S Rakrak, S Raghay, B Buhnova Electronics 7 (11), 309, 2018 | 104 | 2018 |
| A hybrid machine learning model for intrusion detection in VANET H Bangui, M Ge, B Buhnova Computing 104 (3), 503-531, 2022 | 103 | 2022 |
| Recent advances in machine-learning driven intrusion detection in transportation: Survey H Bangui, B Buhnova Procedia Computer Science 184, 877-886, 2021 | 73 | 2021 |
| Exploring Big Data Clustering Algorithms for Internet of Things Applications. H Bangui, M Ge, B Buhnova IoTBDS, 269-276, 2018 | 43 | 2018 |
| A hybrid data-driven model for intrusion detection in VANET H Bangui, M Ge, B Buhnova Procedia Computer Science 184, 516-523, 2021 | 42 | 2021 |
| Lightweight intrusion detection for edge computing networks using deep forest and bio-inspired algorithms H Bangui, B Buhnova Computers and Electrical Engineering 100, 107901, 2022 | 30 | 2022 |
| Multi-criteria decision analysis methods in the mobile cloud offloading paradigm H Bangui, M Ge, B Buhnova, S Rakrak, S Raghay, T Pitner Journal of Sensor and Actuator Networks 6 (4), 25, 2017 | 27 | 2017 |
| Social internet of things: ethical AI principles in trust management H Bangui, B Buhnova, M Ge Procedia Computer Science 220, 553-560, 2023 | 23 | 2023 |
| Trust management in social Internet of Things across domains H Bangui, B Buhnova, D Kusnirakova, D Halasz Internet of Things 23, 100833, 2023 | 21 | 2023 |
| Moving towards smart cities: A selection of middleware for fog-to-cloud services H Bangui, S Rakrak, S Raghay, B Buhnova Applied Sciences 8 (11), 2220, 2018 | 18 | 2018 |
| Towards faster big data analytics for anti‐jamming applications in vehicular ad‐hoc network H Bangui, M Ge, B Buhnova, L Hong Trang Transactions on Emerging Telecommunications Technologies 32 (10), e4280, 2021 | 17 | 2021 |
| External sources for mobile computing: The state-of-the-art, challenges, and future research H Bangui, S Rakrak, S Raghay 2015 International Conference on Cloud Technologies and Applications …, 2015 | 12 | 2015 |
| Deep-learning based trust management with self-adaptation in the internet of behavior H Bangui, E Cioroaica, M Ge, B Buhnova Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 874-881, 2023 | 11 | 2023 |
| Deep-learning based reputation model for indirect trust management H Bangui, M Ge, B Buhnova Procedia Computer Science 220, 405-412, 2023 | 10 | 2023 |
| Smart mobile technologies for the city of the future H Bangui, B Buhnova, S Rakrak, S Raghay 2017 Smart City Symposium Prague (SCSP), 1-6, 2017 | 10 | 2017 |
| Improving big data clustering for jamming detection in smart mobility H Bangui, M Ge, B Buhnova ICT Systems Security and Privacy Protection: 35th IFIP TC 11 International …, 2020 | 9 | 2020 |
| Scaling big data applications in smart city with coresets LH Trang, H Bangui, M Ge, B Bühnová SciTePress, 2019 | 9 | 2019 |
| A research roadmap of big data clustering algorithms for future internet of things H Bangui, M Ge, B Buhnova International Journal of Organizational and Collective Intelligence (IJOCI …, 2019 | 8 | 2019 |
| Survey on trust in software engineering for autonomous dynamic ecosystems B Buhnova, D Halasz, D Iqbal, H Bangui Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 1490-1497, 2023 | 7 | 2023 |
Barbora BuhnovaAssoc. prof., Faculty of Informatics, Masaryk University, BrnoVerificeret mail på fi.muni.cz