most citedA Dependable Hybrid Machine Learning Model for Network Intrusion Detection

173 citations · 198 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CR20242 cited

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…

cs.CR2024

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…

cs.CR2024

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…

eess.IV202413 cited

Hybridized Convolutional Neural Networks and Long Short-Term Memory for Improved Alzheimer's Disease Diagnosis from MRI Scans

Maleka Khatun, Md Manowarul Islam, Habibur Rahman Rifat +3

Brain-related diseases are more sensitive than other diseases due to several factors, including the complexity of surgical procedures, high costs, and other challenges. Alzheimer's…

q-bio.GN20242 cited

Exploring Gene Regulatory Interaction Networks and predicting therapeutic molecules for Hypopharyngeal Cancer and EGFR-mutated lung adenocarcinoma

Abanti Bhattacharjya, Md Manowarul Islam, Md Ashraf Uddin +7

With the advent of Information technology, the Bioinformatics research field is becoming increasingly attractive to researchers and academicians. The recent development of various…

cs.LG20244 cited

Securing Transactions: A Hybrid Dependable Ensemble Machine Learning Model using IHT-LR and Grid Search

Md. Alamin Talukder, Rakib Hossen, Md Ashraf Uddin +2

Financial institutions and businesses face an ongoing challenge from fraudulent transactions, prompting the need for effective detection methods. Detecting credit card fraud is cru…