Intrusion Detection System for IoT Networks-Reference-Cited by-同舟云学术

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Intrusion Detection System for IoT Networks

Published:2023-12-07 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 1st International Conference on Optimization Techniques for Learning (ICOTL)
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Author:

Jyothsna V.¹,Sandhya E.²,Roopa R.³,Deena Divya Nayomi B.⁴,Shareef D. K.⁵,Bhasha P.¹

Affiliation:

1. Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College),Department of Data Science,Tirupati,India

2. Madanapalle Institute of Technology & Science,Department of CSE(Artificial Intelligence),Madanapalle,India

3. Madanapalle Institute of Technology & Science,Department of CSE (Data Science),Madanapalle,India

4. G. Pullaiah College of Engineering and Technology,CSE,Kurnool,India

5. S. V. Institute of Technology,CSE,Anantapur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10434936/10434955/10435271.pdf?arnumber=10435271

Reference29 articles.

1. An Explainable Deep Learning Framework for Resilient Intrusion Detection in IoT-Enabled Transportation Networks

2. Detection of Real-Time Malicious Intrusions and Attacks;Ali;IoT Empowered Cybersecurity Infrastructures. IEEE Access,2023

3. An ensemble deep learning based IDS for IoT using Lambda architecture

4. Design of an Advance Intrusion Detection System for IoT Networks

5. Intrusion detection for the internet of things (IoT) based on the emperor penguin colony optimization algorithm

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