Conceptual Approach to Implementation of Adaptive Protection of Operational Cybersecurity Centers

Putyato, Michael; Makaryan, A. S.; Evsyukov, Michael

doi:10.1007/978-3-030-77445-5_63

Cited by 1 publication

(2 citation statements)

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“…On the other hand, the reasoning is used to obtain knowledge that has multiple sources and multiple attributes. A popular area of study is the KR approach as represented by Bayesian networks [14]. Numerous documents have surfaced, and further research is important.…”

Section: Introductionmentioning

confidence: 99%

“…To address this challenge, the pattern recognition (PR) method was developed. With its significant capacity for learning, the PR has been educated to use historical data or practice samples to mine the situation mode division's knowledge methodically and scientifically since 2005 [14,15]. The majority of the already used evaluation techniques will essentially introduce data mining, which also illustrates the tendency of a thorough application of numerous techniques the examination of the idea that "problems appear to solve issues" is embodied in the creation of evaluation methodologies.…”

Section: Introductionmentioning

confidence: 99%

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Security Evaluation of Situational Awareness in Cyberspace Based on Artificial Neural Network-Back Propagation

Han

Nazir

2022

Wireless Communications and Mobile Computing

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Computer network security has become increasingly controversial among many businesses as a result of the rise in cyber threats. Artificial neural network (ANN) is mature research in this field, whereas the traditional algorithm is slower, in feedback error, and has the disadvantage of easy convergence to local extreme value. To guide against these threats, in this paper, ANN-back propagation (BP) algorithm is used to establish the relationship between the level of cyber security situational awareness (CSA) and the perceptual parameters and quantitatively evaluate the situational awareness. This study established the ANN-back propagation (BP) to make the relationship between the level of cyber security situational awareness (CSA) and the perceptual parameters, which evaluates situational awareness. The ANN-BP with variable step size learning strategy and simulated annealing method is used for optimization to build a virtual network environment. The proposed model offers better precision, improved sensitivity, and higher (0.987%) accuracy.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%