Publisher
Springer Nature Singapore
Reference25 articles.
1. Kalimuthan, C., Renjit, J.A.: Review on intrusion detection using feature selection with machine learning techniques. Mater. Today Proc. 33, 3794–3802 (2020)
2. Ring, M., Wunderlich, S., Scheuring, D., Landes, D., Hotho, A.: A survey of network-based intrusion detection data sets. Comput. Secur. 86, 147–167 (2019)
3. Fagerholm, N., et al.: Perceived contributions of multifunctional landscapes to human well-being: evidence from 13 European sites. People Nat. 2, 217–234 (2020). https://doi.org/10.1002/pan3.10067
4. Aleesa, A.M., Younis, M., Mohammed, A.A., Sahar, N.M.: Deep-intrusion detection system with enhanced UNSW-NB15 dataset based on deep learning techniques. J. Eng. Sci. Technol. 16, 711–727 (2021)
5. Toth, T.: Improving Intrusion Detection Systems, p. 147 (2003)