Towards the deployment of machine learning solutions in network traffic classification: A systematic survey
Traffic analysis is a compound of strategies intended to find relationships, patterns,
anomalies, and misconfigurations, among others things, in Internet traffic. In particular, traffic …
anomalies, and misconfigurations, among others things, in Internet traffic. In particular, traffic …
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 …
FlowPic: A generic representation for encrypted traffic classification and applications identification
Identifying the type of a network flow or a specific application has many advantages, such
as, traffic engineering, or to detect and prevent application or application types that violate …
as, traffic engineering, or to detect and prevent application or application types that violate …
Network intrusion detection: Based on deep hierarchical network and original flow data
Y Zhang, X Chen, L **, X Wang, D Guo - IEEE Access, 2019 - ieeexplore.ieee.org
Network intrusion detection plays a very important role in protecting computer network
security. The abnormal traffic detection and analysis by extracting the statistical features of …
security. The abnormal traffic detection and analysis by extracting the statistical features of …
Flowpic: Encrypted internet traffic classification is as easy as image recognition
Identifying the type of a network flow or a specific application has many advantages, but
become harder in recent years due to the use of encryption, eg, by VPN and Tor. Current …
become harder in recent years due to the use of encryption, eg, by VPN and Tor. Current …
A fused CNN model for WBC detection with MRMR feature selection and extreme learning machine
F Özyurt - Soft Computing, 2020 - Springer
White blood cell (WBC) test is used to diagnose many diseases, particularly infections,
ranging from allergies to leukemia. A physician needs clinical experience to detect and …
ranging from allergies to leukemia. A physician needs clinical experience to detect and …
A novel network intrusion detection system based on CNN
L Chen, X Kuang, A Xu, S Suo… - 2020 eighth international …, 2020 - ieeexplore.ieee.org
Network intrusion detection system (NIDS) plays an important role in network security. It can
detect the malicious traffic and prevent the network intrusion. Traditional methods used …
detect the malicious traffic and prevent the network intrusion. Traditional methods used …
Ggfast: Automating generation of flexible network traffic classifiers
When employing supervised machine learning to analyze network traffic, the heart of the
task often lies in develo** effective features for the ML to leverage. We develop GGFAST …
task often lies in develo** effective features for the ML to leverage. We develop GGFAST …
A new technique for ECG signal classification genetic algorithm Wavelet Kernel extreme learning machine
The examination and classification of Electrocardiogram (ECG) records have become
particularly significant for diagnosing heart diseases. Machine learning methods are widely …
particularly significant for diagnosing heart diseases. Machine learning methods are widely …
ECG signal classification and arrhythmia detection using ELM-RNN
Arrhythmia is a unique type of heart disease which produces inefficient and irregular
heartbeat. This is a cardiac disease which is diagnosed through electrocardiogram (ECG) …
heartbeat. This is a cardiac disease which is diagnosed through electrocardiogram (ECG) …