Analysis and classification of spam email using Artificial Intelligence to identify cyberthreats

  1. Jáñez Martino, Francisco
Zeitschrift:
Procesamiento del lenguaje natural

ISSN: 1135-5948

Datum der Publikation: 2024

Nummer: 72

Seiten: 155-158

Art: Artikel

Andere Publikationen in: Procesamiento del lenguaje natural

Zusammenfassung

Summary of the Ph.D. thesis written by Francisco Jáñez Martino and supervised by Prof. Dra. Rocío Alaiz Rodríguez and Dr. Víctor González Castro at Universidad de León. The defense of the thesis was in León (Spain) in 21st of December 2023 by a committee formed by Dr. Arturo Montejo Ráez (Universidad de Jaén, Spain), Dr. Petr Motlicek (Idiap Research Institute, Switzerland), and Dra. Laura Fernández Robles (Universidad de León, Spain). An international mention was garnered following a six-month tenure at the Universitá di Bologna under the supervision of Dr. Alberto Barrón Cedeño. This Ph.D. thesis was awarded an outstanding Cum Laude grade.

Bibliographische Referenzen

  • Da San Martino, G., S. Yu, A. Barrón-Cedeño, R. Petrov, and P. Nakov. 2019. Fine-grained analysis of propaganda in news article. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pages 5636–5646.
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  • Jáñez Martino, F., R. Alaiz-Rodríguez, V. González-Castro, and E. Fidalgo. 2021. Trustworthiness of spam email addresses using machine learning. In Proceedings of the 21st ACM Symposium on Document Engineering, DocEng ’21, page 4, New York, NY, USA. Association for Computing Machinery.
  • Jáñez -Martino, F., R. Alaiz-Rodríguez, V. González-Castro, E. Fidalgo, and E. Alegre. 2022. A review of spam email detection: analysis of spammer strategies and the dataset shift problem. Artificial Intelligence Review, 56:1145–1173.
  • Jáñez -Martino, F., R. Alaiz-Rodríguez, V. González-Castro, E. Fidalgo, and E. Alegre. 2023. Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach. Applied Soft Computing, 139:110226.
  • Jáñez -Martino, F., E. Fidalgo, S. González-Martínez, and J. Velasco-Mata. 2020. Classification of spam emails through hierarchical clustering and supervised learning.