Aquila Optimization Algorithm based Feature Selection with Optimal Machine Learning for Security Internet of Things Environment-Reference-Cited by-同舟云学术

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Aquila Optimization Algorithm based Feature Selection with Optimal Machine Learning for Security Internet of Things Environment

Published:2024-04-18 Issue: Volume:14 Page:1-6
ISSN:
Container-title:2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS)
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Author:

Khairnar Prerana Nilesh¹,Sesha Vidhya S²,Keerthana D³,Mohana M.⁴,Srimathi S⁵,Vigneshwaran P⁶

Affiliation:

1. Sir Visvesvaraya Institute of Technology,Electronics & Telecommunication Engineering,Nashik

2. RMK College of Engineering and Technology,Department of ECE

3. S.A.Engineering College(Autonomous),Department of Artificial Intelligence and Data Science,Chennai,600077

4. Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College, Avadi,Artificial Intelligence and Data Science,Chennai,600 062

5. Saveetha School of Engineering, SIMATS,Department of Bio Technology,Chennai,Tamilnadu,India

6. K.Ramakrishnan College of Engineering,Trichy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10616388/10616396/10616777.pdf?arnumber=10616777

Reference20 articles.

1. DDoS Attack Detection in IoT Using Machine Learning Based Intrusion Detection System (IDS)

2. Attack Detection in IoT using Machine Learning

3. DDoS Attack Simulation and Machine Learning-Based Detection Approach in Internet of Things Experimental Environment

4. Machine learning based low-rate DDoS attack detection for SDN enabled IoT networks

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