HFCCW: A Novel Hybrid Filter-Clustering-Coevolutionary Wrapper Feature Selection Approach for Network Anomaly Detection
N Sharma, B Arora - International Journal of Machine Learning and …, 2024 - Springer
Network anomaly detection (NAD) is a crucial Artificial Intelligence (AI)-based security
solution for protecting computer networks. However, analyzing high-dimensional data is a …
solution for protecting computer networks. However, analyzing high-dimensional data is a …
Artificial Intelligence-Based Smart Packet Filter
Packet filtering is a fundamental feature for the firewall as the security of the whole system
depends on it, but on the other hand, it should also be fast and efficient and should be able …
depends on it, but on the other hand, it should also be fast and efficient and should be able …
Network Traffic Classification using ML: A Comparative Analysis
M Ramires, AS Gomes, SR Lima… - 2022 17th Iberian …, 2022 - ieeexplore.ieee.org
Traffic Classification methods aim for the automation of processes of analysis and
categorization of traffic flowing through a network according to its intrinsic nature and …
categorization of traffic flowing through a network according to its intrinsic nature and …
CLASSIFYING OVER-THE-TOP NETWORK TRAFFIC USING DEEP LEARNING ALGORITHMS WITH DESIGN SCIENCE RESEARCH METHODOLOGY …
FIA Faisal, A Lawi… - Jurnal Teknologi Informasi …, 2024 - jtika.if.unram.ac.id
Classifying network traffic is the foundational step in analyzing diverse applications reliant
on network infrastructure, particularly focusing on identifying Over-The-Top (OTT) …
on network infrastructure, particularly focusing on identifying Over-The-Top (OTT) …