Classified VPN network traffic flow using time related to artificial neural network
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Dosyalar
Tarih
2024
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Tech Science Press
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
VPNs are vital for safeguarding communication routes in the continually changing cybersecurity world. However, increasing network attack complexity and variety require increasingly advanced algorithms to recognize and categorizeVPNnetwork data.We present a novelVPNnetwork traffic flowclassificationmethod utilizing Artificial Neural Networks (ANN). This paper aims to provide a reliable system that can identify a virtual private network (VPN) traffic fromintrusion attempts, data exfiltration, and denial-of-service assaults.We compile a broad dataset of labeled VPN traffic flows from various apps and usage patterns. Next, we create an ANN architecture that can handle encrypted communication and distinguish benign from dangerous actions. To effectively process and categorize encrypted packets, the neural network model has input, hidden, and output layers. We use advanced feature extraction approaches to improve theANN's classification accuracy by leveraging network traffic's statistical and behavioral properties.We also use cutting-edge optimizationmethods to optimize network characteristics and performance. The suggested ANN-based categorization method is extensively tested and analyzed. Results show the model effectively classifies VPN traffic types.We also show that our ANN-based technique outperforms other approaches in precision, recall, and F1-score with 98.79% accuracy. This study improves VPN security and protects against new cyberthreats. Classifying VPNtraffic flows effectively helps enterprises protect sensitive data, maintain network integrity, and respond quickly to security problems. This study advances network security and lays the groundwork for ANN-based cybersecurity solutions.
Açıklama
Anahtar Kelimeler
ANN, Classification, Data exfiltration, Encrypted traffic, Feature extraction, Intrusion detection, Network Security, Network traffic flow, VPN
Kaynak
Computers, Materials and Continua
WoS Q Değeri
N/A
Scopus Q Değeri
Q1
Cilt
80
Sayı
1
Künye
Mohamed, S. A. A., Kurnaz, S. (2024). Classified VPN network traffic flow using time related to artificial neural network. Computers, Materials and Continua, 80(1), 819-841. 10.32604/cmc.2024.050474
