Application of Deep Learning for Intrusion Detection and Cyber-Attack Detection Using Internet of Things Networks-Reference-Cited by-同舟云学术

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Application of Deep Learning for Intrusion Detection and Cyber-Attack Detection Using Internet of Things Networks

Published:2023-07-28 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Data Science and Network Security (ICDSNS)
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Author:

Gautam Anjali¹,Rathare Saloni²,Bhatnagar Gunjan³,Ikhar Sharyu⁴,Dari Sukhvinder Singh⁵,Gupta Varun Kumar⁶

Affiliation:

1. School of Engineering & Technology, K. R. Mangalam University,Department of Computer Science & Engineering,Gurugram,Haryana,India

2. Invertis University,Department of Law,Bareilly,Uttar Pradesh,India

3. School of Engineering and Computer, Dev Bhoomi Uttarakhand University,Uttarakhand,India

4. VIIT Pune,Department of AIDS,India

5. Symbiosis Law School, Nagpur Campus Symbiosis International (Deemed University),Pune,India

6. School of Computer Science and Applications, IIMT University,Meerut,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10244768/10244782/10245746.pdf?arnumber=10245746

Reference21 articles.

1. An Intrusion Detection Model Based on SMOTE and Convolutional Neural Network Ensemble

2. Comparison of Network Intrusion Detection Performance Using Feature Representation

3. INTRUSION DETECTION IN COMPUTER NETWORKS USING LATENT SPACE REPRESENTATION AND MACHINE LEARNING

4. A comprehensive study on density peak clustering and its variants;anandarao;International Journal of Intelligent Systems and Applications in Engineering,2023

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