Results 91 to 100 of about 1,873 (195)

Application of natural language processing techniques to network traffic processing for classification using deep learning models

Journal of Big Data
Background The rapid growth of encrypted network traffic has increased the need for effective and unbiased Network Traffic Classification (NTC). Traditional techniques struggle with encrypted data, limited feature availability, and high traffic volume ...
Ana M. Maitin, Carlos Arranz-Luque, Emilio Alba, Álvaro J. García-Tejedor   +3 more
doaj   +1 more source

Semi-Supervised Encrypted Malicious Traffic Detection Based on Multimodal Traffic Characteristics

Sensors
The exponential growth of encrypted network traffic poses significant challenges for detecting malicious activities online. The scale of emerging malicious traffic is significantly smaller than that of normal traffic, and the imbalanced data distribution
Ming Liu, Qichao Yang, Wenqing Wang, Shengli Liu   +3 more
doaj   +1 more source

Software defined networking based network traffic classification using machine learning techniques

Scientific Reports
The classification of network traffic has become increasingly crucial due to the rapid growth in the number of internet users. Conventional approaches, such as identifying traffic based on port numbers and payload inspection are becoming ineffective due ...
Ayodeji Olalekan Salau, Melesew Mossie Beyene   +1 more
doaj   +1 more source

An encrypted traffic identification method based on multi-scale feature fusion

Array
As data privacy issues become more and more sensitive, increasing numbers of websites usually encrypt traffic when transmitting it. This method can largely protect privacy, but it also brings a huge challenge. Aiming at the problem that encrypted traffic
Peng Zhu, Gang Wang, Jingheng He, Yueli Dong, Yu Chang   +4 more
doaj   +1 more source

Multi-Level Pre-Training for Encrypted Network Traffic Classification

IEEE Access
With the recent growth of network environments, the use of encrypted traffic has increased, making traditional methods less effective. Consequently, research on encrypted traffic analysis using Machine Learning (ML) and Deep Learning (DL) techniques has ...
Jee-Tae Park, Yang-Seo Choi, Bu-Seung Cho, Seung-Hae Kim, Myung-Sup Kim   +4 more
doaj   +1 more source

Contextual classification of network traffic through rough set theory and convolutional neural networks. [PDF]

Sci Rep
Priyanka D, Sundara Krishna YK.
europepmc   +1 more source

Enhancing encrypted HTTPS traffic classification based on stacked deep ensembles models. [PDF]

Sci Rep
Elshewey AM, Osman AM.
europepmc   +1 more source

Privacy protection method for ADS-B air traffic control data based on convolutional neural network and symmetric encryption. [PDF]

Front Big Data
Ma C, Jia R, Lou J, Wang M.
europepmc   +1 more source

A privacy preserving intrusion detection framework for IIoT in 6G networks using homomorphic encryption and graph neural networks. [PDF]

Sci Rep
Hua B, Xi H.
europepmc   +1 more source

LSTM guided homomorphic encryption for threat-resistant IoT networks. [PDF]

Discov Comput
Kumar S, Deora SS, Kumar T, Sharma P, Cheng X, Garg V.   +5 more
europepmc   +1 more source