Detecting Botnet Attacks in IoT Environments: An Optimized Machine Learning Approach

16 December 2020

Papers citing "Detecting Botnet Attacks in IoT Environments: An Optimized Machine Learning Approach"

6 / 6 papers shown

Title
Optimized Ensemble Model Towards Secured Industrial IoT Devices MohammadNoor Injadat 45 2 0 10 Jan 2024
LE3D: A Lightweight Ensemble Framework of Data Drift Detectors for Resource-Constrained Devices Ioannis Mavromatis Adrián Sánchez-Mompó Francesco Raimondo James Pope Marcello Bullo ... Vijay S. Kumar P. Carnelli G. Oikonomou Theodoros Spyridopoulos Aftab Khan 32 5 0 03 Nov 2022
Anomaly Detection in Intra-Vehicle Networks A. Dwivedi 33 3 0 07 May 2022
A Method Based on Deep Learning for the Detection and Characterization of Cybersecurity Incidents in Internet of Things Devices Jhon Alexánder Parra S. Gutiérrez J. Branch 26 2 0 01 Mar 2022
A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams Li Yang Abdallah Shami 63 103 0 21 Apr 2021
Relationship between Student Engagement and Performance in e-Learning Environment Using Association Rules Abdallah Moubayed MohammadNoor Injadat Abdallah Shami H. Lutfiyya 57 39 0 25 Dec 2020