An IoT Network Identifier Using Machine Learning-Assisted Feature Selection and SMOTE-Reference-Cited by-同舟云学术

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An IoT Network Identifier Using Machine Learning-Assisted Feature Selection and SMOTE

Published:2022-09-07 Issue: Volume: Page:
ISSN:
Container-title:2022 Iraqi International Conference on Communication and Information Technologies (IICCIT)
language:
Short-container-title:

Author:

Ahmed Abdualrahman¹,Alheeti Khattab M Ali²

Affiliation:

1. University of Anbar,College of Computer and Information Technology,Computer Sciences Department,Anbar,Iraq

2. University of Anbar,College of Computer and In Technology,Computer Networking Systems Department,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10009910/10009912/10010669.pdf?arnumber=10010669

Reference18 articles.

1. Ja?mi?ah al-Lubna?ni?yah al-Ami?riki?yah, Institute of Electrical and Electronics Engineers, Institute of Electrical and Electronics Engineers. Lebanon Section, and Institute of Electrical and Electronics Engineers;Cyprus Section IWCMC 2020? 2020 16th International Wireless Communications & Mobile Computing Conference (IWCMC)?,2020

2. Detection of Unauthorized IoT Devices Using Machine Learning Techniques;meidan,2017

3. Deep Learning with Dense Random Neural Networks for Detecting Attacks Against IoT-Connected Home Environments

4. Developing IoT Applications – Best Technologies and Tools for IoT Developers,0

5. Deep Learning based for IDS;maha Majed Kataeb almighty,2020

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