Classification and explanation for intrusion detection system based on ensemble trees and SHAP method
In recent years, many methods for intrusion detection systems (IDS) have been designed
and developed in the research community, which have achieved a perfect detection rate …
and developed in the research community, which have achieved a perfect detection rate …
Securing wireless sensor networks using machine learning and blockchain: A review
As an Internet of Things (IoT) technological key enabler, Wireless Sensor Networks (WSNs)
are prone to different kinds of cyberattacks. WSNs have unique characteristics, and have …
are prone to different kinds of cyberattacks. WSNs have unique characteristics, and have …
XGBoost for imbalanced multiclass classification-based industrial internet of things intrusion detection systems
The Industrial Internet of Things (IIoT) has advanced digital technology and the fastest
interconnection, which creates opportunities to substantially grow industrial businesses …
interconnection, which creates opportunities to substantially grow industrial businesses …
Performance evaluation of deep learning techniques for DoS attacks detection in wireless sensor network
Wireless sensor networks (WSNs) are increasingly being used for data monitoring and
collection purposes. Typically, they consist of a large number of sensor nodes that are used …
collection purposes. Typically, they consist of a large number of sensor nodes that are used …
SLGBM: An intrusion detection mechanism for wireless sensor networks in smart environments
S Jiang, J Zhao, X Xu - IEEE Access, 2020 - ieeexplore.ieee.org
Wireless sensor network (WSN), which serves as one of the key components of the cyber
physical system, is a wireless network composed of many stationary or moving sensors in a …
physical system, is a wireless network composed of many stationary or moving sensors in a …
Polymorphic Adversarial DDoS attack on IDS using GAN
R Chauhan, SS Heydari - 2020 International Symposium on …, 2020 - ieeexplore.ieee.org
Intrusion Detection systems are important tools in preventing malicious traffic from
penetrating into networks and systems. Recently, Intrusion Detection Systems are rapidly …
penetrating into networks and systems. Recently, Intrusion Detection Systems are rapidly …
Multi-stage jamming attacks detection using deep learning combined with kernelized support vector machine in 5G cloud radio access networks
In 5G networks, the Cloud Radio Access Network (C-RAN) is considered a promising future
architecture in terms of minimizing energy consumption and allocating resources efficiently …
architecture in terms of minimizing energy consumption and allocating resources efficiently …
Stochastic gradient descent intrusions detection for wireless sensor network attack detection system using machine learning
HM Saleh, H Marouane, A Fakhfakh - IEEE Access, 2024 - ieeexplore.ieee.org
Communication in cyber-physical systems relies heavily on Wireless Sensor Networks
(WSNs), which have numerous uses including ambient monitoring, object recognition, and …
(WSNs), which have numerous uses including ambient monitoring, object recognition, and …
A genetic-based extreme gradient boosting model for detecting intrusions in wireless sensor networks
M Alqahtani, A Gumaei, H Mathkour… - Sensors, 2019 - mdpi.com
An Intrusion detection system is an essential security tool for protecting services and
infrastructures of wireless sensor networks from unseen and unpredictable attacks. Few …
infrastructures of wireless sensor networks from unseen and unpredictable attacks. Few …
Detection of Denial-of-Service Attack in Wireless Sensor Networks: A lightweight Machine Learning Approach
MA Elsadig - IEEE Access, 2023 - ieeexplore.ieee.org
The characteristics and performance of wireless sensor networks (WSNs) are the main
reasons for their rapid expansion in various fields. However, these networks are extremely …
reasons for their rapid expansion in various fields. However, these networks are extremely …