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20202024
most citedMulti-Stage Optimized Machine Learning Framework for Network Intrusion Detection

279 citations · 913 across the 11 of their papers we have counts for

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5 papers · 1 filter

cs.CR2024★ 1 cited

Optimized Ensemble Model Towards Secured Industrial IoT Devices

MohammadNoor Injadat

The continued growth in the deployment of Internet-of-Things (IoT) devices has been fueled by the increased connectivity demand, particularly in industrial environments. However, t…

cs.CR2020

Optimized Random Forest Model for Botnet Detection Based on DNS Queries

Abdallah Moubayed, MohammadNoor Injadat, Abdallah Shami

The Domain Name System (DNS) protocol plays a major role in today's Internet as it translates between website names and corresponding IP addresses. However, due to the lack of proc…

cs.CR2020★ 1 cited

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

MohammadNoor Injadat, Abdallah Moubayed, Abdallah Shami

The increased reliance on the Internet and the corresponding surge in connectivity demand has led to a significant growth in Internet-of-Things (IoT) devices. The continued deploym…

cs.CR2020★ 279 cited

Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection

MohammadNoor Injadat, Abdallah Moubayed, Ali Bou Nassif +1

Cyber-security garnered significant attention due to the increased dependency of individuals and organizations on the Internet and their concern about the security and privacy of t…

cs.CR2020★ 6 cited

Data Mining with Big Data in Intrusion Detection Systems: A Systematic Literature Review

Fadi Salo, MohammadNoor Injadat, Ali Bou Nassif +1

Cloud computing has become a powerful and indispensable technology for complex, high performance and scalable computation. The exponential expansion in the deployment of cloud tech…