IEEE - Institute of Electrical and Electronics Engineers, Inc. - Evaluation of Cybersecurity Data Set Characteristics for Their Applicability to Neural Networks Algorithms Detecting Cybersecurity Anomalies

Author(s): Xavier A. Larriva-Novo ; Mario Vega-Barbas ; Victor A. Villagra ; Mario Sanz Rodrigo
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 January 2020
Volume: 8
Page(s): 9,005 - 9,014
ISSN (Electronic): 2169-3536
DOI: 10.1109/ACCESS.2019.2963407
Regular:

Artificial intelligence algorithms have a leading role in the field of cybersecurity and attack detection, being able to present better results in some scenarios than classic intrusion detection... View More

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