Measuring the Quality Information of Sources of Cybersecurity by Multi-Criteria Decision Making Techniques

Noemí DeCastro-García, Enrique Pinto. Measuring the Quality Information of Sources of Cybersecurity by Multi-Criteria Decision Making Techniques. In Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, José Ramón Villar Flecha, Alicia Troncoso Lora, Enrique A. de la Cal, Álvaro Herrero 0001, Francisco Martínez-Álvarez, Giuseppe Psaila, Héctor Quintián, Emilio Corchado, editors, Hybrid Artificial Intelligent Systems - 17th International Conference, HAIS 2022, Salamanca, Spain, September 5-7, 2022, Proceedings. Volume 13469 of Lecture Notes in Computer Science, pages 75-87, Springer, 2022. [doi]

@inproceedings{DeCastro-Garcia22,
  title = {Measuring the Quality Information of Sources of Cybersecurity by Multi-Criteria Decision Making Techniques},
  author = {Noemí DeCastro-García and Enrique Pinto},
  year = {2022},
  doi = {10.1007/978-3-031-15471-3_7},
  url = {https://doi.org/10.1007/978-3-031-15471-3_7},
  researchr = {https://researchr.org/publication/DeCastro-Garcia22},
  cites = {0},
  citedby = {0},
  pages = {75-87},
  booktitle = {Hybrid Artificial Intelligent Systems - 17th International Conference, HAIS 2022, Salamanca, Spain, September 5-7, 2022, Proceedings},
  editor = {Pablo García Bringas and Hilde Pérez García and Francisco Javier Martínez de Pisón and José Ramón Villar Flecha and Alicia Troncoso Lora and Enrique A. de la Cal and Álvaro Herrero 0001 and Francisco Martínez-Álvarez and Giuseppe Psaila and Héctor Quintián and Emilio Corchado},
  volume = {13469},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-15471-3},
}