Botnet Attack Detection in IoT Networks using CNN and LSTM-Reference-Cited by-同舟云学术

Botnet Attack Detection in IoT Networks using CNN and LSTM

Published:2023-07-19 Issue: Volume: Page:
ISSN:
Container-title:2023 2nd International Conference on Edge Computing and Applications (ICECAA)
language:
Short-container-title:

Author:

Sharma Anuj¹,Mishra Prasoon Bharat¹,Geetha G.¹

Affiliation:

1. SRM Institute of Science and Technology,Department of Networking and Communication,Chennai,India,603203

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10211064/10212098/10212330.pdf?arnumber=10212330

Reference12 articles.

1. An IoT botnet detection method based on long shortterm memory network;tan;IEEE Access,2019

2. Botnet detection for IoT networks using deep learning and traffic flow analysis;wu;IEEE Access,2020

3. Side Channel Analysis - A Demonstrative Approach on a 128-Bit AES Algorithm;godwin ponsam;2020 International Conference on Power Energy Control and Transmission Systems (ICPECTS),0

4. Hybrid deep learning and ensemble learning-based botnet detection in IoT networks;bhuyan;Journal of Ambient Intelligence and Humanized Computing,2021

5. Forensics and Deep Learning Mechanisms for Botnets in Internet of Things: A Survey of Challenges and Solutions

Cited by 3 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. Systematic Literature Review of IoT Botnet DDOS Attacks and Evaluation of Detection Techniques;Sensors;2024-06-01

2. Detection of Cyber Attack in IoT Based Model Using ANN Model with Genetic Algorithm;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09

3. IoT Attack Detection Using LSTM Model;2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT);2024-01-04