Malware Detection Algorithm for Wireless Sensor Networks in a Smart City Based on Random Forest-Reference-Cited by-同舟云学术

Malware Detection Algorithm for Wireless Sensor Networks in a Smart City Based on Random Forest

Published:2022-07-20 Issue:3 Volume:51 Page:20220100
ISSN:0090-3973
Container-title:Journal of Testing and Evaluation
language:en
Short-container-title:J. Test. Eval.

Author:

Cui Jiantao¹

Affiliation:

1. College of Software Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450001, China (Corresponding author), e-mail: zzo121441@126.com, https://orcid.org/0000-0001-5600-6442

Publisher

ASTM International

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference15 articles.

1. An Efficient Routing Algorithm for Wireless Sensor Networks Based on Centrality Measures;Mbiya;Acta Polytechnica Hungarica,2020

2. Improved DV-Hop Based on Squirrel Search Algorithm for Localization in Wireless Sensor Networks;Abd El Ghafour;Wireless Networks,2021

3. TDOA-Based Joint Synchronization and Localization Algorithm for Asynchronous Wireless Sensor Networks;Wang;IEEE Transactions on Communications,2020

4. An Energy-Efficient Wireless Sensor Network Construction Algorithm for Air Quality Condition Detection System;De;Computers & Electrical Engineering,2021

5. Wireless Sensor Networks Intrusion Detection Based on Smote and the Random Forest Algorithm;Tan;Sensors,2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Securing IoT Devices Running PureOS from Ransomware Attacks: Leveraging Hybrid Machine Learning Techniques;Mathematics;2023-05-28

2. Critical Analysis of Global Models for Malware Propagation on Wireless Sensor Networks;Lecture Notes in Networks and Systems;2023