most citedMachine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction

3 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CR2024★ 1 cited

MLSTL-WSN: Machine Learning-based Intrusion Detection using SMOTETomek in WSNs

Md. Alamin Talukder, Selina Sharmin, Md Ashraf Uddin +2

Wireless Sensor Networks (WSNs) play a pivotal role as infrastructures, encompassing both stationary and mobile sensors. These sensors self-organize and establish multi-hop connect…

cs.CR2024★ 3 cited

Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction

Md. Alamin Talukder, Md. Manowarul Islam, Md Ashraf Uddin +4

Cybersecurity has emerged as a critical global concern. Intrusion Detection Systems (IDS) play a critical role in protecting interconnected networks by detecting malicious actors a…