Anomaly-based intrusion detection from network flow features using variational autoencoder

S Zavrak, M Iskefiyeli - IEEE Access, 2020 - ieeexplore.ieee.org
The rapid increase in network traffic has recently led to the importance of flow-based
intrusion detection systems processing a small amount of traffic data. Furthermore, anomaly …

Intrusion detection system using voting-based neural network

MH Haghighat, J Li - Tsinghua Science and Technology, 2021 - ieeexplore.ieee.org
Several security solutions have been proposed to detect network abnormal behavior.
However, successful attacks is still a big concern in computer society. Lots of security …

[PDF][PDF] Detection of ICMPv6-based DDoS attacks using anomaly based intrusion detection system: A comprehensive review

AHB Alghuraibawi, R Abdullah, S Manickam… - International Journal of …, 2021 - academia.edu
Security network systems have been an increasingly important discipline since the
implementation of preliminary stages of Internet Protocol version 6 (IPv6) for exploiting by …

SAWANT: smart window based anomaly detection using netflow traffic

MH Haghighat, ZA Foroushani… - 2019 IEEE 19th …, 2019 - ieeexplore.ieee.org
Network security becomes a big concern nowadays. Although many solutions have been
developed to detect network anomalies, the number of successful attacks like DDoS …

Towards aggregated features: a novel proxy detection method using NetFlow data

P Fu, Q Yang, C Liu, Z Li, G Gou… - 2020 IEEE 22nd …, 2020 - ieeexplore.ieee.org
Proxies can provide privacy and anonymity protection for users, but can also be exploited by
attackers to hide their malicious behaviors. In order to strengthen the monitoring and …

Classification of Network Traffic and Anomaly Detection Using Entropy in NetFlow Records

I Fosić, D Žagar - 2024 International Symposium ELMAR, 2024 - ieeexplore.ieee.org
Within the field of machine learning and classification techniques, entropy represents a
concept with great potential, especially within algorithms like Random Forest. The paper …

Towards Multi-source Extension: A Multi-classification Method Based on Sampled NetFlow Records

P Fu, Q Yang, Y Guan, B Wang, G Gou… - 2021 IEEE 20th …, 2021 - ieeexplore.ieee.org
With the rapid development of the Internet, network traffic is growing explosively. It brings
great challenges to the traditional traffic identification technology using full traffic analysis …

Yazılım-tanımlı ağlar için uyarlanabilir bir saldırı tespit ve önleme sistemi tasarımı

S Zavrak - 2020 - acikerisim.sakarya.edu.tr
Ağ trafiğindeki hızlı artış son zamanlarda az miktarda trafik verisini işleyen akış tabanlı saldırı
algılama sistemlerinin önemine yol açmıştır Ayrıca bilinmeyen saldırıları tespit edebilen …