Quantum Computational Intelligence Techniques: A Scientometric Mapping

Archives of Computational Methods in Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 7, 2024

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Optimizing quantum machine learning for proactive cybersecurity

Optimization and Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 14, 2024

Abstract The evolution of cyberattacks requires a continuous race to implement increasingly sophisticated techniques that allow us stay ahead cybercriminals. Thus, relevant inverse problem in cybersecurity involves determining underlying patterns or models possible cyber threats based on observed data. In particular, the processing massive data combined with application Machine Learning methods and other derived from Artificial Intelligence have so far achieved very significant advances preventing mitigating impact many cyberattacks. Given keyword is anticipation, this work explores possibilities quantum computing and, Quantum have, when era arrives, most optimal parameterisations put these into practice. Although technologies real context may still seem distant, having studies assess future viability identify different types be differential element it comes ensuring essential services. For reason, aims use several datasets known problems field evaluate some models, comparing results those obtained using classical models. After analysing study, can concluded are promising cybersecurity, giving rise wider range algorithms.

Language: Английский

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Quantum Computational Paradigms in Spatial Analytics: Advancing Environmental and Resource Econometrics

Published: Jan. 1, 2024

Language: Английский

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