Research Article

Proposal of Honeypot-Based Data Mining Methods for the Discovery of Intrusions in Big Data Databases

• @INPROCEEDINGS{10.1007/978-3-031-81570-6_21,
      author={Koffi Kanga and Beman Hamidja Kamagat\^{e} and Raogo Kabore and Souleymane Oumtanaga},
      title={Proposal of Honeypot-Based Data Mining Methods for the Discovery of Intrusions in Big Data Databases},
      proceedings={Towards new e-Infrastructure and e-Services for Developing Countries. 15th International Conference, AFRICOMM 2023, Bobo-Dioulasso, Burkina Faso, November 23--25, 2023, Proceedings, Part I},
      proceedings_a={AFRICOMM},
      year={2025},
      month={2},
      keywords={Intrusion detection computer security data mining big data},
      doi={10.1007/978-3-031-81570-6_21}
  }
  

• Koffi Kanga
  Beman Hamidja Kamagaté
  Raogo Kabore
  Souleymane Oumtanaga
  Year: 2025
  Proposal of Honeypot-Based Data Mining Methods for the Discovery of Intrusions in Big Data Databases
  AFRICOMM
  Springer
  DOI: 10.1007/978-3-031-81570-6_21