An Ensemble-Based Machine Learning Approach for Cyber-Attacks Detection in Wireless Sensor Networks

Dynamic Selection Techniques for Detecting GPS Spoofing Attacks on UAVs

(2022) Tala Talaei Khoei et al.   SENSORS

Machine Learning for Wireless Sensor Networks Security: An Overview of Challenges and Issues

(2022) Rami Ahmad et al.   SENSORS

An Effective Intrusion Detection System Using Homogeneous Ensemble Techniques

(2021) Faheem Syeed Masoodi et al.   International Journal of Information Security and Privacy

Anomaly detection in wireless sensor network using machine learning algorithm

(2020) I. Gethzi Ahila Poornima et al.   COMPUTER COMMUNICATIONS

The Use of Ensemble Models for Multiple Class and Binary Class Classification for Improving Intrusion Detection Systems

(2020) Celestine Iwendi et al.   SENSORS

Cyberattacks Detection in IoT-Based Smart City Applications Using Machine Learning Techniques

(2020) Md Mamunur Rashid et al.   International Journal of Environmental Research and Public Health

Wireless Sensor Networks Intrusion Detection Based on SMOTE and the Random Forest Algorithm

(2019) Xiaopeng Tan et al.   SENSORS

Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan

(2019) Jie Dou et al.   Landslides

Re-scale AdaBoost for attack detection in collaborative filtering recommender systems

(2016) Zhihai Yang et al.   KNOWLEDGE-BASED SYSTEMS

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

(2016) Iman Almomani et al.   Journal of Sensors

A review of feature selection methods based on mutual information

(2013) Jorge R. Vergara et al.   NEURAL COMPUTING & APPLICATIONS