Authentic learning environments for in-service training in cybersecurity: a qualitative study

Karjalainen, Mika; Ojala, Anna Liisa

doi:10.1504/ijceell.2023.127853

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Karjalainen M. et al pointed out that digitalization development means the aggravation of cybersecurity problems. The objectives of on-the-job cybersecurity training were detected in conjunction with qualitative research methods to ensure that learners can actually acquire the skills to solve cybersecurity problems [13]. Kaur, R. et al assembled 2395 existing studies to provide an in-depth exploration of the integration of AI technology and cybersecurity.…”

Section: Introductionmentioning

confidence: 99%

Optimization of network security protection posture based on data clustering

Zhu

2024

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

This paper focuses on the challenges facing network security in the digital era and proposes a network security posture optimization method based on data clustering. Three mainstream network security models, namely, P2DR security operation and maintenance model, line defense model, and three-dimensional defense model, are analyzed, and the limitations of existing security products are pointed out. The application potential of big data technology in network security is emphasized, and a comprehensive technical process containing information extraction, posture modeling, security trend prediction, and security policy deployment is constructed. The ARMA model and reinforcement learning building model are introduced, and the improved K-means algorithm is proposed to address the shortcomings of traditional methods. Experiments are conducted using the DARPA2000 dataset, and the results show the enhanced algorithm’s significant improvement in clustering accuracy and stability, with a maximum threat value of about 160, demonstrating better stability and effectiveness than the traditional method. The posture value exceeds 500 in a specific period, highlighting the dynamic changes in network security and confirming the practicality and effectiveness of the technique. The results of this study provide new strategies and perspectives for network security protection, and have essential reference and guidance value for practical applications and future research.

show abstract

Section: Introductionmentioning

confidence: 99%

Optimization of network security protection posture based on data clustering

Zhu

2024

Applied Mathematics and Nonlinear Sciences

View full text Add to dashboard Cite

show abstract

Authentic learning environments for in-service training in cybersecurity: a qualitative study

Cited by 1 publication

References 0 publications

Optimization of network security protection posture based on data clustering

Optimization of network security protection posture based on data clustering

Contact Info

Product

Resources

About