A novel approach of botnet detection using hybrid deep learning for enhancing security in IoT networks-Reference-Cited by-同舟云学术

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A novel approach of botnet detection using hybrid deep learning for enhancing security in IoT networks

Published:2024-09 Issue: Volume:103 Page:88-97
ISSN:1110-0168
Container-title:Alexandria Engineering Journal
language:en
Short-container-title:Alexandria Engineering Journal

Author:

Ali Shamshair,Ghazal Rubina,Qadeer Nauman^ORCID,Saidani Oumaima,Alhayan Fatimah,Masood Anum^ORCID,Saleem Rabia,Khan Muhammad Attique,Gupta Deepak

Funder

Princess Nourah Bint Abdulrahman University

Publisher

Elsevier BV

Reference40 articles.

1. Trends in internet use among older adults in the United States, 2011–2016;Yoon;J. Appl. Gerontol.,2021

2. Anti-phishing awareness delivery methods;Darem;Eng., Technol. Appl. Sci. Res.,2021

3. Advanced Iot Technologies and Applications in the Industry 4.0 Digital Economy;Khang,2024

4. Internet of things: a survey on enabling technologies, protocols, and applications;Al-Fuqaha;IEEE Commun. Surv. Tutor.,2015

5. Cisco. Annual internet report (2018-2023), 2023. (Accessed July 2023). 〈https://www.cisco.com〉.

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. Design and implementation of privacy-preserving federated learning algorithm for consumer IoT;Alexandria Engineering Journal;2024-11

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