13 citations · 27 across the 10 of their papers we have counts for
5 papers · 1 filter
Hierarchical Classification for Intrusion Detection System: Effective Design and Empirical Analysis
Md. Ashraf Uddin, Sunil Aryal, Mohamed Reda Bouadjenek +2
With the increased use of network technologies like Internet of Things (IoT) in many real-world applications, new types of cyberattacks have been emerging. To safeguard critical in…
A Dual-Tier Adaptive One-Class Classification IDS for Emerging Cyberthreats
Md. Ashraf Uddin, Sunil Aryal, Mohamed Reda Bouadjenek +2
In today's digital age, our dependence on IoT (Internet of Things) and IIoT (Industrial IoT) systems has grown immensely, which facilitates sensitive activities such as banking tra…
usfAD Based Effective Unknown Attack Detection Focused IDS Framework
Md. Ashraf Uddin, Sunil Aryal, Mohamed Reda Bouadjenek +2
The rapid expansion of varied network systems, including the Internet of Things (IoT) and Industrial Internet of Things (IIoT), has led to an increasing range of cyber threats. Ens…
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…
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…