Nature Inspired Metaheuristic Techniques of Firefly and Grey Wolf Algorithms Implemented in Phishing Intrusion Detection Systems
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-37717-4_87
Reference34 articles.
1. Kopecky, S., Dwyer, C.: Nature-inspired metaheuristic effectiveness used in phishing intrusion detection systems with Firefly algorithm techniques. In: 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET), pp. 1–7 (2022)
2. Kopecky, S., Dwyer C.: Nature-inspired metaheuristic effectiveness used in phishing intrusion detection systems with Grey Wolf algorithm techniques. In: 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET) (2022)
3. Natesan, P., Rajalaxmi, R.R., Gowrison, G., Balasubramanie, P.: Hadoop based parallel binary bat algorithm for network intrusion detection. Int. J. Parallel Prog. 45(5), 1194–1213 (2016). https://doi.org/10.1007/s10766-016-0456-z
4. Li, Y., Xiong, K., Li, X.: An analysis of user behaviors in phishing eMail using machine learning techniques. In: Proceedings of the 16th International Joint Conference on E-Business and Telecommunications (2019). https://doi.org/10.5220/0008119805290534
5. Abroshan, H., Devos, J., Poels, G., Laermans, E.: Phishing happens beyond technology: the effects of human behaviors and demographics on each step of a phishing process. IEEE Access 9, 44928–44949 (2021). https://doi.org/10.1109/access.2021.3066383
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