DoS Attack Detection in Wireless Sensor Networks (WSN) Using Hybrid Machine Learning Model-Reference-Cited by-同舟云学术

DoS Attack Detection in Wireless Sensor Networks (WSN) Using Hybrid Machine Learning Model

Published:2023-03-23 Issue: Volume: Page:
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Container-title:2023 10th International Conference on Signal Processing and Integrated Networks (SPIN)
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Author:

Rao G. Sankara¹,Harshitha Muvvala¹,Joshitha Vuriti Rama¹,Sravya Saripaka Srilakshmi¹,Priya Mutcha Vishnu¹

Affiliation:

1. GVP College of Engineering for Women, JNTUK,Department of CSE,Visakhapatnam,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10115458/10115464/10117098.pdf?arnumber=10117098

Reference24 articles.

1. Overview of DoS attacks on wireless sensor networks and experimental results for simulation of interference attacks;gavric;Ingenieria e Investigation,2017

2. An online ensemble learning model for detecting attacks in wireless sensor networks;tabbaa;arXiv 2204 13814,2022

3. Confronting DDoS Attacks in Software-Defined Wireless Sensor Networks based on Evidence Theory

4. WSN-DS: A Dataset for Intrusion Detection Systems in Wireless Sensor Networks

5. Data mining approach to analyzing intrusion detection of wireless sensor network;moontaha;Indonesian Journal of Electrical Engineering and Computer Science,2021

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2. Detecting and Preventing DoS Attacks Within IoT Environment Using AWS IoT Core;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

3. Detection of Denial-of-Service Attack in Wireless Sensor Networks: A Lightweight Machine Learning Approach;IEEE Access;2023