Dynamic detection of malicious intrusion in wireless network based on improved random forest algorithm

Y Chen, F Yuan - 2022 IEEE Asia-Pacific Conference on Image …, 2022 - ieeexplore.ieee.org
… The MAC address of the I-th sender is 192.09.3, the frequency of … nonlinear scrambling
intrusion detection method of wireless network based on improved random forest algorithm. …

[HTML][HTML] A novel intrusion detection system against spoofing attacks in connected electric vehicles

D Kosmanos, A Pappas, L Maglaras, S Moschoyiannis… - Array, 2020 - Elsevier
detection engine of the proposed IDS is based on several ML algorithms, such as Random
Forest (RF) and k-Nearest Neighbour (k-NN), usingMAC address of EV I, during the spoofing

Intrusion Detection System for Wireless Sensor Networks: A Machine Learning based Approach

H Sadia, S Farhan, YU Haq, R Sana, T Mahmood… - IEEE …, 2024 - ieeexplore.ieee.org
address or IP address, easily send data to the server as well [6]… Alternative models like
SVM and Random Forests were … unit based model for wireless intrusion detection system,’’ …

Dynamic Strategies of Machine Learning for Extenuation of Security Breaches in Wireless Sensor Networks

S Paliwal - Blockchain Applications for Secure IoT Frameworks …, 2021 - books.google.com
… that a combination of random forest along with SMOTE has … Intrusion detection systems are
used for the detection of … for the detection of spoofing attacks in wireless sensor networks was …

When wireless security meets machine learning: Motivation, challenges, and research directions

YE Sagduyu, Y Shi, T Erpek, W Headley… - arXiv preprint arXiv …, 2020 - arxiv.org
… are needed to address ML for wireless security are diverse … • Intrusion detection in IoT systems
was studied [25] in the … Random forest and neural network classifiers were run on features …

[HTML][HTML] A single supervised learning model to detect fake access points, frequency sweeping jamming and deauthentication attacks in IEEE 802.11 networks

A Amoordon, V Deniau, A Fleury, C Gransart - Machine Learning with …, 2022 - Elsevier
… around Network Intrusion Detection Systems concerning … MAC address in the source MAC
address field and the client’s … for either for the Random Forest or the KNN created model. …

[HTML][HTML] An intelligent intrusion detection system for 5g-enabled internet of vehicles

B Sousa, N Magaia, S Silva - Electronics, 2023 - mdpi.com
through the spoofing attack, such as data theft, sending false information, and sending false
GPS information (ie, GPS spoofing… the performance of random forests and the multilayer …

Real-time intrusion detection and prevention system for SDN-based IoT networks

AK Sarıça - 2021 - open.metu.edu.tr
… a decision tree from the random forest constructed for a sample network intrusion detection
… of the flow, ie source IP, source MAC address and physical switch port the packet is coming …

[HTML][HTML] A Dynamic Trust Model for Underwater Sensor Networks Fusing Deep Reinforcement Learning and Random Forest Algorithm

B Wang, X Yue, Y Liu, K Hao, Z Li, X Zhao - Applied Sciences, 2024 - mdpi.com
… To address the aforementioned challenges, this paper presents a novel dynamic trust … (DRFTM)
that leverages the power of random forest and reinforcement learning. The DRFTM …

Lightweight real-time WiFi-based intrusion detection system using LightGBM

AA Bhutta, M Nisa, AN Mian - Wireless Networks, 2024 - Springer
… the deployment of a WiFi Intrusion Detection System (IDS) is … with XGBoost, Random Forest
(RF) and Decision Tree (DT) … frame to exploit the broadcast MAC address of the AP resulting …