Intrusion Detection System to detect impersonation attacks in IoT networks-Reference-Cited by-同舟云学术

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Intrusion Detection System to detect impersonation attacks in IoT networks

Published:2024-01-24 Issue: Volume: Page:
ISSN:
Container-title:2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)
language:
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Author:

S Manjula H¹,M Chaitra²,Channaraju Arun³,R Nehashree K¹,N Navya K¹,C Kiran⁴

Affiliation:

1. SJB Institute of Technology,Dept of CSE,Bangalore,India

2. BNM Institute of Technology,Dept of CSE,Bangalore,India

3. Synopsys,Security Service Associate,Bangalore,India

4. Torry Harris Integrated Solutions,Associate Software Engineer,Bangalore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10467176/10467219/10467569.pdf?arnumber=10467569

Reference27 articles.

1. Hybrid CatBoost Regression model based Intrusion Detection System in IoT-Enabled Networks

2. IoT Network Intrusion Detection: A Brief Review

3. An Intrusion Detection System Against DDoS Attacks in IoT Networks

4. Replay Attack Detection in Smart Cities Using Deep Learning

5. Detection and prevention of man-in-the-middle attack in iot network using regression modeling

Cited by 1 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. RPL-based attack detection approaches in IoT networks: review and taxonomy;Artificial Intelligence Review;2024-08-12

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