BotDefender: A Collaborative Defense Framework Against Botnet Attacks using Network Traffic Analysis and Machine Learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-023-08016-z.pdf
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3. Mudassir, M.; Unal, D.; Hammoudeh, M.; Azzedin, F.: Detection of Botnet attacks against industrial IoT systems by multilayer deep learning approaches. Wirel. Commun. Mob. Comput. (2022). https://doi.org/10.1155/2022/2845446
4. Panimalar, P.; Rameshkumar, K.: A novel traffic analysis model for botnet discovery in dynamic network. Arab. J. Sci. Eng. 44(4), 3033–3042 (2019). https://doi.org/10.1007/s13369-018-3319-7
5. Mohanta, B.K.; Jena, D.; Ramasubbareddy, S.; Daneshmand, M.; Gandomi, A.H.: Addressing security and privacy issues of IoT using blockchain technology. IEEE Internet Things J. 8(2), 881–888 (2020). https://doi.org/10.1109/JIOT.2020.3008906
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