[HTML][HTML] A local feature engineering strategy to improve network anomaly detection

S Carta, AS Podda, DR Recupero, R Saia - Future Internet, 2020 - mdpi.com
The dramatic increase in devices and services that has characterized modern societies in
recent decades, boosted by the exponential growth of ever faster network connections and …

General-purpose unsupervised cyber anomaly detection via non-negative tensor factorization

ME Eren, JS Moore, E Skau, E Moore… - … Threats: Research and …, 2023 - dl.acm.org
Distinguishing malicious anomalous activities from unusual but benign activities is a
fundamental challenge for cyber defenders. Prior studies have shown that statistical user …

Convolution Neural Network-Based Efficient Development of Intrusion Detection Using Various Deep Learning Approaches

G Gowthami, SS Priscila - Explainable AI Applications for Human …, 2024 - igi-global.com
As internet usage has increased, firewalls and antiviruses are not alone enough to
overcome the attacks and assure the privacy of information in a computer network, which …

Efficient Development of Intrusion Detection Using Multilayer Perceptron Using Deep Learning Approaches

R Saranya, SS Priscila - … on Advancements in Smart Computing and …, 2023 - Springer
The term cyber-attack or intrusion is expanded as an unauthorized process that includes
one or more of the above three components of the network system. The intrusion detection …

Deteksi Distributed Denial Of Service (DDOS) Dalam Jaringan Software Defined Network Dengan Metode Support Vector Machine

R FURQAN - 2022 - eprints.upnyk.ac.id
ABSTRAK Software Defined Network merupakan teknologi baru dan SDN merupakan masa
depan dalam konsep jaringan dimana terdapat pemisahan antara data plane dan control …