Particle Swarm Optimization Algorithm Based Artificial Neural Network for Botnet Detection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-021-08841-1.pdf
Reference18 articles.
1. Karim, A., Salleh, R., Shiraz, M., Shah, S., Awan, I., & Anuar, N. (2014) Botnet detection techniques: review, future trends, and issues. Journal of Zhejiang University Science C, 15 (11), 943–983.
2. Hoque, N., Bhattacharyya, D., & Kalita, J. (2015). Botnet in DDoS attacks: Trends and challenges. IEEE Communications Surveys & Tutorials, 17 (4), 2242–2270.
3. Silva, S., Silva, R., Pinto, R., & Salles, R. (2013). Botnets: A survey. Computer Networks, 57(2), 378–403.
4. Kondo, S., & Sato, N. (2012). Botnet traffic detection techniques by C&C session classification using SVM. Advances in Information and Computer Security, pp. 91–104.
5. Felix, J., Joseph, C., & Ghorbani, A. (2012). Group behavior metrics for P2P Botnet detection. Information and Communications Security, pp. 93–104.
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