Network Security Situation Assessment Method Based on MHSA-FL Model
Author:
Zhang KejunORCID, Jiang XinruiORCID, Yu XinyingORCID, Feng LiwenORCID
Publisher
Springer Singapore
Reference26 articles.
1. An, N.N., Thanh, N.Q., Liu, Y.: Deep CNNs with self-attention for speaker identification. IEEE Access 7, 85327–85337 (2019) 2. Bass, T.: Intrusion detection systems and multisensor data fusion. Commun. ACM 43(4), 99–105 (2000) 3. Bazrafkan, M.H., Gharaee, H., Enayati, A.: National cyber situation awareness model. In: 2018 9th International Symposium on Telecommunications (IST), pp. 216–220. IEEE (2018) 4. Chang, J., Zhang, X., Ye, M., Huang, D., Wang, P., Yao, C.: Brain tumor segmentation based on 3D Unet with multi-class focal loss. In: 2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), pp. 1–5. IEEE (2018). https://doi.org/10.1109/CISP-BMEI.2018.8633056 5. Cheng, Z., Yan, C., Wu, F., Wang, J.: Drug-target interaction prediction using multi-head self-attention and graph attention network. IEEE/ACM Trans. Comput. Biol. Bioinform. 1 (2021). https://doi.org/10.1109/TCBB.2021.3077905
|
|