Machine learning for resource management in cellular and IoT networks: Potentials, current solutions, and open challenges
Internet-of-Things (IoT) refers to a massively heterogeneous network formed through smart
devices connected to the Internet. In the wake of disruptive IoT with a huge amount and …
devices connected to the Internet. In the wake of disruptive IoT with a huge amount and …
A review on machine learning–based approaches for Internet traffic classification
Traffic classification acquired the interest of the Internet community early on. Different
approaches have been proposed to classify Internet traffic to manage both security and …
approaches have been proposed to classify Internet traffic to manage both security and …
Deep packet: A novel approach for encrypted traffic classification using deep learning
M Lotfollahi, M Jafari Siavoshani… - Soft Computing, 2020 - Springer
Network traffic classification has become more important with the rapid growth of Internet
and online applications. Numerous studies have been done on this topic which have led to …
and online applications. Numerous studies have been done on this topic which have led to …
A comparative study of traffic classification techniques for smart city networks
RM AlZoman, MJF Alenazi - Sensors, 2021 - mdpi.com
Smart city networks involve many applications that impose specific Quality of Service (QoS)
requirements, thus representing a challenging scenario for network management. Solutions …
requirements, thus representing a challenging scenario for network management. Solutions …
A machine learning approach for ddos (distributed denial of service) attack detection using multiple linear regression
S Sambangi, L Gondi - Proceedings, 2020 - mdpi.com
The problem of identifying Distributed Denial of Service (DDos) attacks is fundamentally a
classification problem in machine learning. In relevance to Cloud Computing, the task of …
classification problem in machine learning. In relevance to Cloud Computing, the task of …
Active learning for network traffic classification: a technical study
Network Traffic Classification (NTC) has become an important feature in various network
management operations, eg, Quality of Service (QoS) provisioning and security services …
management operations, eg, Quality of Service (QoS) provisioning and security services …
DDoS attack identification and defense using SDN based on machine learning method
L Yang, H Zhao - … pervasive systems, algorithms and networks (I …, 2018 - ieeexplore.ieee.org
SDN (Software Defined Network) has attracted great interests as a new paradigm in the
network. Thus, the security of SDN is important. Distributed Denial Service (DDoS) attack …
network. Thus, the security of SDN is important. Distributed Denial Service (DDoS) attack …
Comparative analysis of recent architecture of convolutional neural network
Convolutiona neural network (CNN) is one of the best neural networks for classification,
segmentation, natural language processing (NLP), and video processing. The CNN consists …
segmentation, natural language processing (NLP), and video processing. The CNN consists …
Internet traffic classification based on incremental support vector machines
Abstract Machine learning methods have been deployed widely in Internet traffic
classification, which identify encrypted traffic and proprietary protocols effectively based on …
classification, which identify encrypted traffic and proprietary protocols effectively based on …
A semi-supervised stacked autoencoder approach for network traffic classification
Network traffic classification is an important task in modern communications. Several
approaches have been proposed to improve the performance of differentiating among …
approaches have been proposed to improve the performance of differentiating among …