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Md. Manowarul Islam

7 papers hereh-index 202.2k citations58 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5
  • last author1

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CR3
  • eess.IV3
  • q-bio.GN1

identity via Semantic Scholar / OpenAlex

most citedA Dependable Hybrid Machine Learning Model for Network Intrusion Detection

173 citations · 184 across the 7 of their papers we have counts for

collaborators
Showing cs.CRShow all

3 papers · 1 filter

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…

cs.CR2023★ 173 cited

A Dependable Hybrid Machine Learning Model for Network Intrusion Detection

Md. Alamin Talukder, Khondokar Fida Hasan, Md. Manowarul Islam +5

Network intrusion detection systems (NIDSs) play an important role in computer network security. There are several detection mechanisms where anomaly-based automated detection outp…

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