A Comprehensive Analysis of Intrusion Detection in Internet of Things (IoT)-Reference-Cited by-同舟云学术

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A Comprehensive Analysis of Intrusion Detection in Internet of Things (IoT)

Published:2023-11-02 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE)
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Author:

Chalichalamala Silpa¹,Govindan Niranjana²,Kasarapu Ramani³

Affiliation:

1. SRM Institute of Science and Technology,Department of Computer Science and Engineering,Kattankulathur, Chennai,India

2. SRM Institute of Science and Technology,Department of Computing Technologie,Kattankulathur, Chennai,India

3. School of Computing, Mohan Babu University (Erstwhile Sree Vidyanikethan Engineering College),Tirupati,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10389814/10389816/10390177.pdf?arnumber=10390177

Reference28 articles.

1. Network Intrusion Detection for IoT Security Based on Learning Techniques

2. Adversarial Attacks Against Network Intrusion Detection in IoT Systems

3. Feature extraction for machine learning-based intrusion detection in IoT networks

4. An Ensemble Multi-View Federated Learning Intrusion Detection for IoT

5. A novel IoT network intrusion detection approach based on Adaptive Particle Swarm Optimization Convolutional Neural Network

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