Design of capability maturity model integration with cybersecurity risk severity complex prediction using bayesian-based machine learning models

Extreme complex events and the corresponding abnormal statistics of cyber security are ubiquitously observed in many real-time systems, and the development of efficient tools to explain and properly anticipate such representative features remains a great issue. Art and science must be carefully bala...

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Veröffentlicht in:	Service oriented computing and applications Jg. 17; H. 1; S. 59 - 72
1. Verfasser:	Alshammari, Fahad H.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.03.2023 Springer Nature B.V
Schlagworte:	Algorithms Assaults Computer Appl. in Administrative Data Processing Computer Science Computer Systems Organization and Communication Networks Cybersecurity Data acquisition e-Commerce/e-business Evaluation Fuzzy sets Infrastructure IT in Business Machine learning Management of Computing and Information Systems Network topologies Neural networks Real time Risk assessment Risk levels Risk management Software Engineering/Programming and Operating Systems Special Issue Paper Stochastic models Threats Time series Weather forecasting Deep learning Cybersecurity Complex prediction Cyber threats Machine learning
ISSN:	1863-2386, 1863-2394
Online-Zugang:	Volltext
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