Classifying Network Abnormalities Into Faults and Attacks in Iot-Based Cyber-Physical Systems using Machine Learning-Reference-Cited by-同舟云学术

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Classifying Network Abnormalities Into Faults and Attacks in Iot-Based Cyber-Physical Systems using Machine Learning

Published:2024-02-23 Issue: Volume:5 Page:1-5
ISSN:
Container-title:2024 International Conference on Integrated Circuits and Communication Systems (ICICACS)
language:
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Author:

Kumar P. Jagdish¹,Alzubaidi Laith H. Jasim²,Nagarjuna N.³,Deshmukh Ram⁴,G K Madhura⁵

Affiliation:

1. AVN Institute of Engineering and Technology,Department of Computer Science and Engineering,Telangana,India

2. The Islamic University,Najaf,Iraq

3. CVR College of Engineering,Department of CSIT,Telangana,India

4. SR University,Department of Electrical and Electronics Engineering,Warangal,Telangana,India

5. Nitte Meenakshi Institute of Technology,Department of AI and ML,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10498131/10498150/10498664.pdf?arnumber=10498664

Reference11 articles.

1. Generative adversarial dimensionality reduction for diagnosing faults and attacks in cyber-physical systems

2. A Review on Sustainable Energy Sources Using Machine Learning and Deep Learning Models

3. Intrusion detection of cyber physical energy system based on multivariate ensemble classification

4. Deep learning techniques for automatic classification and analysis of human in vitro fertilized (IVF) embryos;Patil;J Emerg Technol Innov Res.,2018

5. A Cyber-Physical System to Detect IoT Security Threats of a Smart Home Heterogeneous Wireless Sensor Node

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