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

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

doi:10.1007/978-981-99-2229-1_29

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

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

^*Corresponding author for this work

Sardar Patel University of Police, Security and Criminal Justice

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Original language	English
Title of host publication	Proceedings of the International Conference on Cryptology & Network Security with Machine Learning 2022
Publisher	Springer
Publication date	2024
Pages	353-365
ISBN (Print)	978-981-99-2228-4
ISBN (Electronic)	978-981-99-2229-1
DOIs	https://doi.org/10.1007/978-981-99-2229-1_29
Publication status	Published - 2024
Event	International Conference on Cryptology & Network Security with Machine Learning 2022 - Kanpur, India Duration: 16 Dec 2022 → 18 Dec 2022

Conference

Conference	International Conference on Cryptology & Network Security with Machine Learning 2022
Country/Territory	India
City	Kanpur
Period	16/12/2022 → 18/12/2022

Access to Document

10.1007/978-981-99-2229-1_29

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Cite this

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

author = "Chetanya Kunndra and Arjun Choudhary and Prashant Mathur and Kapil Pareek and Gaurav Choudhary",

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language = "English",

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pages = "353--365",

booktitle = "Proceedings of the International Conference on Cryptology & Network Security with Machine Learning 2022",

publisher = "Springer",

note = "International Conference on Cryptology & Network Security with Machine Learning 2022, ICCNSML ; Conference date: 16-12-2022 Through 18-12-2022",

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Kunndra, C, Choudhary, A, Mathur, P, Pareek, K & Choudhary, G 2024, CNN-LSTM: A Deep Learning Model to Detect Botnet Attacks in Internet of Things. in Proceedings of the International Conference on Cryptology & Network Security with Machine Learning 2022. Springer, pp. 353-365, International Conference on Cryptology & Network Security with Machine Learning 2022, Kanpur, India, 16/12/2022. https://doi.org/10.1007/978-981-99-2229-1_29

CNN-LSTM: A Deep Learning Model to Detect Botnet Attacks in Internet of Things. / Kunndra, Chetanya; Choudhary, Arjun; Mathur, Prashant et al.
Proceedings of the International Conference on Cryptology & Network Security with Machine Learning 2022. Springer, 2024. p. 353-365.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AU - Choudhary, Gaurav

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