Early DGA-based botnet identification: pushing detection to the edges

Author:

Zago MattiaORCID,Gil Pérez Manuel,Martínez Pérez Gregorio

Funder

Instituto Nacional de Ciberseguridad

H2020 European Research Council

European Commission

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Customized convolutional neural network model for IoT botnet attack detection;Signal, Image and Video Processing;2024-06-17

2. IoT cybersecurity in 5G and beyond: a systematic literature review;International Journal of Information Security;2024-05-28

3. The cybersecurity mesh: A comprehensive survey of involved artificial intelligence methods, cryptographic protocols and challenges for future research;Neurocomputing;2024-05

4. Detecting Domain Generation Algorithms in Malware Traffic Using Constrained Resources;2023 IEEE 19th International Conference on Intelligent Computer Communication and Processing (ICCP);2023-10-26

5. Improved Deep Maxout for IoT Botnet Attack Detection with LDA based Selected Feature Set;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

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