Anomaly-Based Intrusion Detection System Using Bidirectional Long Short-Term Memory for Internet of Things-Reference-Cited by-同舟云学术

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Anomaly-Based Intrusion Detection System Using Bidirectional Long Short-Term Memory for Internet of Things

Published:2024-04-26 Issue: Volume:13 Page:01-04
ISSN:
Container-title:2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)
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Author:

Jagdish Kumar P.¹,Neduncheliyan S.²,Mundher Adnan Myasar³,K Sudhakar⁴,Sudhakar A.V.V.⁵

Affiliation:

1. Bharath Institute of Higher Education and Research,Department of CSE,Chennai,Tamil Nadu,India

2. School of Computing, Bharath Institute of Higher Education and Research,Chennai,Tamil Nadu,India

3. College of Technical Engineering, The Islamic University,Department of Computers Techniques Engineering,Najaf,Iraq

4. Nitte Meenakshi Institute of Technology,Dept. of AI & DS,Bengaluru,India

5. SR University,Department of Electrical and Electronics Engineering,Warangal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10548017/10548035/10549281.pdf?arnumber=10549281

Reference12 articles.

1. Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning

2. A Novel Intrusion Detection Approach Using Machine Learning Ensemble for IoT Environments

3. A block bi-diagonalization-based precoding for indoor multiple-input-multiple-output-visible light communication system;Prabu;Energies, MDPJAG,2020

4. IoT Botnet Anomaly Detection Using Unsupervised Deep Learning

5. Toward a deep learning-based intrusion detection system for IoT against botnet attacks

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