Novel adaptive cyberattack prediction model using an enhanced genetic algorithm and deep learning (AdacDeep)
| Autor: | Olusoji B. Okunoye, F.A. Oladeji, C. O. Uwadia, Ayei E. Ibor |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Hyperparameter
Information Systems and Management business.industry Computer science Deep learning Training time 020206 networking & telecommunications 02 engineering and technology Information security Machine learning computer.software_genre Computer Science Applications Extant taxon Genetic algorithm 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence False positive rate business computer Software |
| Zdroj: | Information Security Journal: A Global Perspective. 31:105-124 |
| ISSN: | 1939-3547 1939-3555 |
| DOI: | 10.1080/19393555.2021.1883777 |
| Popis: | Some of the problems of extant cyberattack prediction approaches are low prediction accuracy, high false positive rate, very long training time, and the choice of hyperparameters to overcome overfi... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|