Evaluation of Cybersecurity Data Set Characteristics for Their Applicability to Neural Networks Algorithms Detecting Cybersecurity Anomalies.
Xavier Larriva-NovoMario Vega-BarbasVíctor A. VillagráMario Sanz RodrigoPublished in: IEEE Access (2020)
Keyphrases
- neural network
- data sets
- orders of magnitude
- pattern recognition
- optimization problems
- benchmark datasets
- computationally efficient
- genetic algorithm
- data structure
- real world
- evaluation methods
- data streams
- database
- theoretical analysis
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- times faster
- machine learning
- graph theory
- evaluation metrics
- neural nets
- recently developed
- machine learning algorithms
- significant improvement
- lower bound
- learning algorithm