Machine learning-based network status detection and fault localization
AR Mohammed, SA Mohammed, D Côté… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Although the autonomous detection of network status and localization of network faults can
be a valuable tool for network and service operators, very few works have investigated this …
be a valuable tool for network and service operators, very few works have investigated this …
A survey of privacy protection and network security in user on-demand anonymous communication
Y He, M Zhang, X Yang, J Luo, Y Chen - IEEE Access, 2020 - ieeexplore.ieee.org
In an untrusted Internet environment, there is a large amount of user privacy information
being vulnerable to various attacks, and it is an important security concern for users on how …
being vulnerable to various attacks, and it is an important security concern for users on how …
Zero-day traffic identification using one-dimension convolutional neural networks and auto encoder machine
D Jin, J Xie, S Chen, J Yang, X Liu… - 2020 IFIP Networking …, 2020 - ieeexplore.ieee.org
Network traffic identification plays an important role in traffic engineering, anomaly detection
and traffic billing. Recently, the machine learning and deep learning based algorithms have …
and traffic billing. Recently, the machine learning and deep learning based algorithms have …
Network traffic classification in an NFV environment using supervised ML algorithms
G Ilievski, P Latkoski - Journal of Telecommunications and Information …, 2021 - jtit.pl
We have conducted research on the performance of six supervised machine learning (ML)
algorithms used for network traffic classification in a virtual environment driven by network …
algorithms used for network traffic classification in a virtual environment driven by network …
Classification of network traffic using supervised machine learning algorithms within NFV environment
G Ilievski, P Latkoski - SJEE, 2021 - 91.187.132.54
Abstract Deep Packet Inspection (DPI) of the network traffic is used on a regular basis within
the traditional and virtualized environments. But changes in the network architecture with the …
the traditional and virtualized environments. But changes in the network architecture with the …
Network Traffic Classification Using Supervised Machine Learning Algorithms in Systems with NFV Architecture
G Ilievski, P Latkoski - … : Applications: Dedicated to Professor Georgi M …, 2022 - Springer
Network functions virtualization architecture concept is gaining more popularity and it is
used in different systems. Together with the cloudification within public, private and mixed …
used in different systems. Together with the cloudification within public, private and mixed …
A traffic accident early warning model based on XGBOOST
Y Pang, X Wang, Y Tang, G Guobin… - Fourth International …, 2024 - spiedigitallibrary.org
Our research is based on the XGBOOST algorithm, which aims to build a model that can
provide accurate early warning for traffic accidents. Our model incorporates machine …
provide accurate early warning for traffic accidents. Our model incorporates machine …
[引用][C] Hardware acceleration of encrypted TCP/IP traffic classification using Machine Learning techniques
SP Martínez, PP Carballo, AN Ordóñez, SRL Martín