The Hidden Enemy: A Botnet Taxonomy-Reference-Cited by-同舟云学术

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The Hidden Enemy: A Botnet Taxonomy

Published:2023 Issue: Volume: Page:93-100
ISSN:2524-7565
Container-title:Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences
language:
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Author:

Padhiar Sneha^ORCID,Shah Aayushyamaan,Patel Ritesh^ORCID

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-8742-7_8

Reference17 articles.

1. Kurt A, Erdin E, Cebe M, Akkaya K, Uluagac AS (2020) LNBot: a covert hybrid botnet on bitcoin lightning network for fun and profit. In: Computer security–ESORICS. Springer, Berlin, Germany

2. Shin S, Xu L, Hong S, Gu G (2016) Enhancing network security through software defined network (SDN). IEEE

3. Ali I, Ahmed AIA, Almogren A et al (2020) Systematic literature review on IoT-based botnet attack. IEEE Access 8:212220–212232

4. Almomani (2018) Fast-flux hunter: a system for filtering online fast-flux botnet. Neural Comput Appl 29(7):483–493

5. Al-Nawasrah A, Al-Momani A, Meziane F, Alauthman M (2018) Fast flux botnet detection framework using adaptive dynamic evolving spiking neural network algorithm. In: 2018 9th international conference on information and communication systems (ICICS). IEEE, pp 7–11

Cited by 2 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. Dynamic Cluster Analysis to Detect and Track Novelty in Network Telescopes;2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW);2024-07-08

2. A Survey on Botnets Attack Detection Utilizing Machine and Deep Learning Models;Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering;2023-06-14

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