IoT Intrusion Detection: Evaluating ML-Based IDS on Image and Network Traffic Datasets-Reference-Cited by-同舟云学术

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IoT Intrusion Detection: Evaluating ML-Based IDS on Image and Network Traffic Datasets

Published:2023-12-18 Issue: Volume:11 Page:57-62
ISSN:
Container-title:2023 IEEE International Symposium on Smart Electronic Systems (iSES)
language:
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Author:

Pathak Manan¹,Patel Anuj¹,Shah Bela¹

Affiliation:

1. CSPIT, Charotar University of Science and Technology,Dept. of Computer Science and Engineering,Anand,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10467041/10466793/10467132.pdf?arnumber=10467132

Reference24 articles.

1. IMIDS: An Intelligent Intrusion Detection System against Cyber Threats in lOT;Le;Advances on Networks and Cyber Security,2022

2. Building a Intrusion Detection System for lOT En-vironment using Machine Learning Techniques;Devisetty

3. Investigation on Intrusion Detection Systems (IDSs) in IoT

4. Anomaly-Based Intrusion Detection Systems in lOT using Deep Learning: A Systematic Literature Review;Faisal Saeed;Sustainable Agriculture and Advances of Remote Sensing,2021

5. Hybrid Intrusion Detection System for Internet of Things (IoT);W.;Journal of ISMAC,2020

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