Using Machine Learning to Detect Botnets in Network Traffic
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-15175-0_24
Reference13 articles.
1. Mustafa Alshamkhany and et.al., Botnet Attack Detection using Machine Learning,2020 14th International Conference on Innovations in Information Technology (IIT),17-18 Nov. 2020. DOI: 10.1109/IIT50501.2020.9299061
2. S. S. C. Silva, R. M. P. Silva, R. C. G. Pinto, and R. M. Salles, “Botnets: A survey,” Comput. Networks, vol. 57, no. 2, pp. 378–403, 2013, doi: https://doi.org/10.1016/j.comnet.2012.07.021.
3. S. Amina, R. Vera, T. Dargahi, and A. Dehghantanha, “A Bibliometric Analysis of Botnet Detection Techniques.”
4. A. Lohachab and B. Karambir, “Critical Analysis of DDoS — An Emerging Security Threat over IoT Networks,” vol. 3, no. 3, 2018.
5. R. Hallman, J. Bryan, G. Palavicini, J. Divita, and J. Romero-mariona, “IoDDoS — The Internet of Distributed Denial of Service Attacks : A Case Study of the Mirai Malware and IoT-Based Botnets IoDDoS —The Internet of Distributed Denial of Service Attacks A Case Study of the Mirai Malware and IoT-Based Botnets,” no. April 2017.
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