TY  - JOUR 
AU  - Escuela de Ingenierias Industrial, Informática y Aeroespacial
AU  - Carriegos Vieira, Miguel
AU  - Castro García, Noemí de
AU  - Escudero García, David
AU  - Algebra
DA  - 2023/05/05
UR  - https://hdl.handle.net/10612/19285
AB  - [EN] In this article, we have carried out a case study to optimize the classification of the maliciousness of cybersecurity events by IP addresses using machine learning techniques. The optimization is studied focusing on time complexity. Firstly, we...
LA  - eng
PB  - Hindawi
KW  - Informática
KW  - Cybersecurity
KW  - Machine learning
KW  - IP address
KW  - Maliciousness
TI  - Towards Supercomputing Categorizing the Maliciousness upon Cybersecurity Blacklists with Concept Drift
DO  - 10.1155/2023/5780357
T2  - Computational and Mathematical Methods
VL  - 2023
M2  - 1
ER  -