Uneingeschränkter Zugang

Research on Hierarchical Network Security Situational Awareness Data Fusion Method in Big Data Environment

 und   
27. Dez. 2023

Zitieren
COVER HERUNTERLADEN

Zhang, H., Shi, J., & Chen, X. (2013). A multi-level analysis framework in network security situation awareness. Procedia Computer Science, 17, 530-536. Search in Google Scholar

Ding, C., Chen, Y., Algarni, A. M., Zhang, G., & Peng, H. (2022). Application of fractal neural network in network security situation awareness. Fractals, 30. Search in Google Scholar

Li, Z., Ma, T., Zhou, Y., & Wang, X. (2021). Research and simulation of network security situation prediction algorithm. Journal of Physics: Conference Series, 1941(1), 012051 (7pp). Search in Google Scholar

Liu, B. (2021). Network security threat situation recognition based on attack and defense game model. Journal of Physics: Conference Series, 2037. Search in Google Scholar

A, X. L., A, J. Y. B. C., D, W. L., E, D. Y., C, Y. W. B., & F, Y. W. (2019). Network security situation: from awareness to awareness-control. Journal of Network and Computer Applications, 139, 15-30. Search in Google Scholar

Zhu, B., Chen, Y., & Cai, Y. (2019). Three kinds of network security situation awareness model based on big data. International Journal of Network Security, 21(1), 115-121. Search in Google Scholar

Cong, H., & Chao, W. (2018). Network security situation awareness based on the optimized dynamic wavelet neural network. International Journal of Network Security, 20(3), 593-600. Search in Google Scholar

Zhang, H., Kang, K., & Bai, W. (2023). Hierarchical network security situation awareness data fusion method in cloud computing environment. Journal of computational methods in sciences and engineering. Search in Google Scholar

Dongmei, Z., & Jinxing, L. (2018). Study on network security situation awareness based on particle swarm optimization algorithm. Computers & Industrial Engineering, S036083521830007X. Search in Google Scholar

Leau, Y. B., Khudher, A. A., Manickam, S., & Al-Salem, S. (2017). An adaptive assessment and prediction mechanism in network security situation awareness. Journal of Computer Science, 13(5), 114-129. Search in Google Scholar

Xiao, B., Lan, Y., Zhao, H., Wu, X., & Liu, W. (2022). An ism-based analysis method on the influencing factors of network security situation (nss). Journal of Interconnection Networks. Search in Google Scholar

Zhang, R., Liu, M., Yin, Y., Zhang, Q., & Cai, Z. (2020). Prediction algorithm for network security situation based on bp neural network optimized by sa-soa. International Journal of Performability Engineering(8), 16. Search in Google Scholar

Yu, H., Yang, X., & Wang, L. (2020). Network security situation prediction based on combining associated entropy and deep recurrent neural network. Transactions on Emerging Telecommunications Technologies. Search in Google Scholar

Zhao, Z., Peng, Y., Huang, J., Zhou, T., & Wang, H. (2020). An evaluation method of network security situation using data fusion theory. International Journal of Performability Engineering(7), 16. Search in Google Scholar

Lin, P., & Chen, Y. (2019). Network security situation assessment based on text simhash in big data environment. International Journal of Network Security, 21(4), 699-708. Search in Google Scholar

Du, J., Ding, L., Li, B., Yang, L., & Chen, Y. (2019). Research on network security situation awareness based on complex network. Basic & clinical pharmacology & toxicology.(S6), 125. Search in Google Scholar

Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
1 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Biologie, Biologie, andere, Mathematik, Angewandte Mathematik, Mathematik, Allgemeines, Physik, Physik, andere