A Brief Analysis on Efficient Machine Learning Techniques for Intrusion Detection Model to Provide Network Security-Reference-Cited by-同舟云学术

A Brief Analysis on Efficient Machine Learning Techniques for Intrusion Detection Model to Provide Network Security

Published:2023-03-23 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)
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Author:

Sirisha Aswadhati.¹,Premamayudu Bulla²

Affiliation:

1. Vignan’s Foundation for science, Technology & Research Deemed to be university,school of computing and informatics,,Department of IT and computer Applications,vadlamudi, Guntur,Andhra pradesh,India

2. Vignan’s Institute of Information And Technology (Autonomous),Department of IT,Vishakapatnam,Andhra Pradesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10104520/10104522/10105087.pdf?arnumber=10105087

Reference20 articles.

1. An Energy-Efficient Mobility-Based Cluster Head Selection for Lifetime Enhancement of Wireless Sensor Networks

2. Geometric Analysis-Based Cluster Head Selection for Sectorized Wireless Powered Sensor Networks

3. ESCVAD: An Energy Saving Routing Protocol Based on Voronoi Adaptive Clustering for Wireless Sensor Networks

4. A Novel Trust-Aware and Energy-Aware Clustering Method That Uses Stochastic Fractal Search in IoT-Enabled Wireless Sensor Networks

5. TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection

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