Masarykova univerzita

Výpis publikací

česky | in English

Filtrování publikací

    2023

  1. Deep-Learning based Reputation Model for Indirect Trust Management
    BANGUI, Hind, Mouzhi GE a Barbora BÜHNOVÁ. Deep-Learning based Reputation Model for Indirect Trust Management. In The 14th International Conference on Ambient Systems, Networks and Technologies (ANT 2023). Elsevier Science, 2023.
    Podrobněji: https://is.muni.cz/publication/2255177/cs
  2. Deep-Learning Based Trust Management with Self-Adaptation in the Internet of Behavior
    BANGUI, Hind, Emilia CIOROAICA, Mouzhi GE a Barbora BÜHNOVÁ. Deep-Learning Based Trust Management with Self-Adaptation in the Internet of Behavior. In The 38th ACM/SIGAPP Symposium on Applied Computing (SAC '23). ACM, 2023. 8 s.
    Podrobněji: https://is.muni.cz/publication/2255157/cs
  3. Social Internet of Things: Ethical AI Principles in Trust Management
    BANGUI, Hind, Barbora BÜHNOVÁ a Mouzhi GE. Social Internet of Things: Ethical AI Principles in Trust Management. In The 14th International Conference on Ambient Systems, Networks and Technologies (ANT 2023). Elsevier Science, 2023.
    Podrobněji: https://is.muni.cz/publication/2255197/cs
  4. Survey on Trust in Software Engineering for Autonomous Dynamic Ecosystems
    BÜHNOVÁ, Barbora, Dávid HALÁSZ, Danish IQBAL a Hind BANGUI. Survey on Trust in Software Engineering for Autonomous Dynamic Ecosystems. In The 38th ACM/SIGAPP Symposium on Applied Computing (SAC '23). ACM, 2023. 8 s. doi:10.1145/3555776.3577702.
    Podrobněji: https://is.muni.cz/publication/2241617/cs

    5. 2022

  5. A Conceptual Antifragile Microservice Framework for Reshaping Critical Infrastructures
    BANGUI, Hind, Bruno ROSSI a Barbora BÜHNOVÁ. A Conceptual Antifragile Microservice Framework for Reshaping Critical Infrastructures. In The 38th IEEE International Conference on Software Maintenance and Evolution. New York, USA: IEEE, 2022. s. 364-368. ISBN 978-1-6654-7957-8. doi:10.1109/ICSME55016.2022.00040.
    Podrobněji: https://is.muni.cz/publication/1875897/cs
  6. A Hybrid Machine Learning Model for Intrusion Detection in VANET
    BANGUI, Hind, Mouzhi GE a Barbora BÜHNOVÁ. A Hybrid Machine Learning Model for Intrusion Detection in VANET. Computing. Wien, Austria: Springer, 2022, roč. 104, č. 3, s. 503-531. ISSN 0010-485X. doi:10.1007/s00607-021-01001-0.
    Podrobněji: https://is.muni.cz/publication/1785592/cs
  7. An Integrated Checklist for Architecture Design of Critical Software Systems
    BIERSKÁ, Adéla, Barbora BÜHNOVÁ a Hind BANGUI. An Integrated Checklist for Architecture Design of Critical Software Systems. In The 17th Conference on Computer Science and Intelligence Systems. Warsaw, Poland: ACSIS, 2022. s. 133-140. ISSN 2300-5963. doi:10.15439/2022F287.
    Podrobněji: https://is.muni.cz/publication/1875898/cs
  8. Blockchain Patterns in Critical Infrastructures: Limitations and Recommendations
    BANGUI, Hind a Barbora BÜHNOVÁ. Blockchain Patterns in Critical Infrastructures: Limitations and Recommendations. In The 17th International Conference on Software and Data Technologies (ICSOFT). Lisbon, Portugal: Scitepress, 2022. s. 457-468. ISBN 978-989-758-588-3. doi:10.5220/0011278500003266.
    Podrobněji: https://is.muni.cz/publication/1857789/cs
  9. Lightweight Intrusion Detection for Edge Computing Networks using Deep Forest and Bio-Inspired Algorithms
    BANGUI, Hind a Barbora BÜHNOVÁ. Lightweight Intrusion Detection for Edge Computing Networks using Deep Forest and Bio-Inspired Algorithms. Computers and Electrical Engineering. England: Elsevier, 2022, roč. 100, March 2022, s. 107901-107917. ISSN 0045-7906. doi:10.1016/j.compeleceng.2022.107901.
    Podrobněji: https://is.muni.cz/publication/1833378/cs
  10. Shifting Towards Antifragile Critical Infrastructure Systems
    BANGUI, Hind, Barbora BÜHNOVÁ a Bruno ROSSI. Shifting Towards Antifragile Critical Infrastructure Systems. In Proceedings of the 7th International Conference on Internet of Things, Big Data and Security. Madeira, Portugal: Scitepress, 2022. s. 78-87, 11 s. ISBN 978-989-758-564-7. doi:10.5220/0011086400003194.
    Podrobněji: https://is.muni.cz/publication/1837031/cs

    11. 2021

  11. A Hybrid Data-driven Model for Intrusion Detection in VANET
    BANGUI, Hind, Mouzhi GE a Barbora BÜHNOVÁ. A Hybrid Data-driven Model for Intrusion Detection in VANET. In Shakshuki, E; Yasar, A. The 12th International Conference on Ambient Systems, Networks and Technologies (ANT 2021). Warsaw, Poland: Elsevier Science, 2021. s. 516-523. ISSN 1877-0509. doi:10.1016/j.procs.2021.03.065.
    Podrobněji: https://is.muni.cz/publication/1753485/cs
  12. Recent Advances in Machine-Learning Driven Intrusion Detection in Transportation: Survey
    BANGUI, Hind a Barbora BÜHNOVÁ. Recent Advances in Machine-Learning Driven Intrusion Detection in Transportation: Survey. In Shakshuki, E; Yasar, A. The 11th International Symposium on Frontiers in Ambient and Mobile Systems. Warsaw, Poland: Elsevier Science, 2021. s. 877-886. ISSN 1877-0509. doi:10.1016/j.procs.2021.04.014.
    Podrobněji: https://is.muni.cz/publication/1753491/cs
  13. Towards Faster Big Data Analytics for Anti-Jamming Applications in vehicular ad-hoc network
    BANGUI, Hind, Mouzhi GE, Barbora BÜHNOVÁ a Le Hong TRANG. Towards Faster Big Data Analytics for Anti-Jamming Applications in vehicular ad-hoc network. Transactions on Emerging Telecommunications Technologies. ENGLAND: WILEY, 2021, roč. 32, č. 10, s. 1-18. ISSN 2161-3915. doi:10.1002/ett.4280.
    Podrobněji: https://is.muni.cz/publication/1756656/cs

    14. 2020

  14. Big Data Processing Tools Navigation Diagram
    MACÁK, Martin, Hind BANGUI, Barbora BÜHNOVÁ, András J. MOLNÁR a Csaba István SIDLÓ. Big Data Processing Tools Navigation Diagram. In Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS. Setubal, Portugal: SciTePress, 2020. s. 304-312. ISBN 978-989-758-426-8. doi:10.5220/0009406403040312.
    Podrobněji: https://is.muni.cz/publication/1642208/cs
  15. Improving Big Data Clustering for Jamming Detection in Smart Mobility
    BANGUI, Hind, Mouzhi GE a Barbora BÜHNOVÁ. Improving Big Data Clustering for Jamming Detection in Smart Mobility. In Proceedings of the 35th International Conference on ICT Systems Security and Privacy Protection - IFIP SEC. Maribor, Slovenia: Springer IFIP AICT series, 2020. s. 78-91. ISBN 978-3-030-58200-5. doi:10.1007/978-3-030-58201-2_6.
    Podrobněji: https://is.muni.cz/publication/1620496/cs

    16. 2019

  16. A Research Roadmap of Big Data Clustering Algorithms for Future Internet of Things
    BANGUI, Hind, Mouzhi GE a Barbora BÜHNOVÁ. A Research Roadmap of Big Data Clustering Algorithms for Future Internet of Things. International Journal of Organizational and Collective Intelligence. IGI, 2019, roč. 9, č. 2, s. 16-30. ISSN 1947-9344. doi:10.4018/IJOCI.2019040102.
    Podrobněji: https://is.muni.cz/publication/1443356/cs
  17. Quality Management for Big 3D Data Analytics: A Case Study of Protein Data Bank
    BANGUI, Hind, Mouzhi GE a Barbora BÜHNOVÁ. Quality Management for Big 3D Data Analytics: A Case Study of Protein Data Bank. In Proceedings of the 4th International Conference on Internet of Things, Big Data and Security - Volume 1. Crete, Greece: SciTePress, 2019. s. 286-293. ISBN 978-989-758-369-8. doi:10.5220/0007717402860293.
    Podrobněji: https://is.muni.cz/publication/1495037/cs
  18. Scaling Big Data Applications in Smart City with Coresets
    TRANG, Le Hong, Hind BANGUI, Mouzhi GE a Barbora BÜHNOVÁ. Scaling Big Data Applications in Smart City with Coresets. In Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1. Prague, Czech Republic: SciTePress, 2019. s. 357-363. ISBN 978-989-758-377-3. doi:10.5220/0007958803570363.
    Podrobněji: https://is.muni.cz/publication/1536678/cs

    19. 2018

  19. Big Data for Internet of Things: A Survey
    GE, Mouzhi, Hind BANGUI a Barbora BÜHNOVÁ. Big Data for Internet of Things: A Survey. Future Generation Computer Systems. Elsevier, 2018, roč. 87, č. 1, s. 601-614. ISSN 0167-739X. doi:10.1016/j.future.2018.04.053.
    Podrobněji: https://is.muni.cz/publication/1415157/cs
  20. Exploring Big Data Clustering Algorithms for Internet of Things Applications
    BANGUI, Hind, Mouzhi GE a Barbora BÜHNOVÁ. Exploring Big Data Clustering Algorithms for Internet of Things Applications. In Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security. Madeira, Portugal: SCITEPRESS, 2018. s. 269-276. ISBN 978-989-758-296-7. doi:10.5220/0006773402690276.
    Podrobněji: https://is.muni.cz/publication/1407165/cs
  21. Moving to the Edge-Cloud-of-Things: Recent Advances and Future Research Directions
    BANGUI, Hind, Said RAKRAK, Said RAGHAY a Barbora BÜHNOVÁ. Moving to the Edge-Cloud-of-Things: Recent Advances and Future Research Directions. Electronics. Switzerland: MDPI, 2018, roč. 7, č. 11, s. 1-31. ISSN 2079-9292. doi:10.3390/electronics7110309.
    Podrobněji: https://is.muni.cz/publication/1491041/cs
  22. Moving towards Smart Cities: A Selection of Middleware for Fog-to-Cloud Services
    BANGUI, Hind, Said RAKRAK, Said RAGHAY a Barbora BÜHNOVÁ. Moving towards Smart Cities: A Selection of Middleware for Fog-to-Cloud Services. Applied Sciences. Switzerland: MDPI, 2018, roč. 8, č. 11, s. 1-20. ISSN 2076-3417. doi:10.3390/app8112220.
    Podrobněji: https://is.muni.cz/publication/1491049/cs

    23. 2017

  23. Multi-Criteria Decision Analysis Methods in the Mobile Cloud Offloading Paradigm
    BANGUI, Hind, Mouzhi GE, Barbora BÜHNOVÁ, Said RAKRAK, Said RAGHAY a Tomáš PITNER. Multi-Criteria Decision Analysis Methods in the Mobile Cloud Offloading Paradigm. Journal of Sensor and Actuator Networks. MDPI, 2017, roč. 6, č. 4, s. 1-19. ISSN 2224-2708. doi:10.3390/jsan6040025.
    Podrobněji: https://is.muni.cz/publication/1396997/cs
  24. Smart mobile technologies for the city of the future
    BANGUI, Hind, Barbora BÜHNOVÁ, Said RAKRAK a Said RAGHAY. Smart mobile technologies for the city of the future. In Smart City Symposium Prague (SCSP), 2017. Neuveden: IEEE, 2017. s. 1-6. ISBN 978-1-5386-3825-5. doi:10.1109/SCSP.2017.7973851.
    Podrobněji: https://is.muni.cz/publication/1404557/cs
Zobrazit podrobně
Zobrazeno: 26. 3. 2023 04:36