CNN-LSTM: A Deep Learning Model to Detect Botnet Attacks in Internet of Things-Reference-Cited by-同舟云学术

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CNN-LSTM: A Deep Learning Model to Detect Botnet Attacks in Internet of Things

Published:2023-10-18 Issue: Volume: Page:353-365
ISSN:2524-7565
Container-title:Cryptology and Network Security with Machine Learning
language:
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Author:

Kunndra Chetanya,Choudhary Arjun,Mathur Prashant,Pareek Kapil,Choudhary Gaurav

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-2229-1_29

Reference37 articles.

1. Rose K, Eldridge S, Chapin L (2015) The internet of things: an overview. Internet Soc (ISOC) 80:1–50

2. Albishi S, Soh B, Ullah A, Algarni F (2017) Challenges and solutions for applications and technologies in the Internet of Things. Procedia Comput Sci 124:608–614

3. Doshi R, Apthorpe N, Feamster N (2018) Machine learning DDoS detection for consumer internet of things devices. In 2018 IEEE security and privacy workshops (SPW). IEEE, pp 29–35

4. Boyes H, Hallaq B, Cunningham J, Watson T (2018) The industrial internet of things (IIoT): An analysis framework. Comput Ind 101:1–12

5. Zheng X, Cai Z, Li Y (2018) Data linkage in smart internet of things systems: a consideration from a privacy perspective. IEEE Commun Mag 56(9):55–61

Cited by 1 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. Unifying RNN and KNN for Enhancing Mirai Attack Detection in IoT Networks;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28

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