A comprehensive survey on machine learning for networking: evolution, applications and research opportunities
Abstract Machine Learning (ML) has been enjoying an unprecedented surge in applications
that solve problems and enable automation in diverse domains. Primarily, this is due to the …
that solve problems and enable automation in diverse domains. Primarily, this is due to the …
Insights into financial technology (FinTech): a bibliometric and visual study
B Li, Z Xu - Financial innovation, 2021 - Springer
This paper conducted a comprehensive analysis based on bibliometrics and science
mapping analysis. First, 848 publications were obtained from Web of Science. Their …
mapping analysis. First, 848 publications were obtained from Web of Science. Their …
A survey on FinTech
As a new term in the financial industry, FinTech has become a popular term that describes
novel technologies adopted by the financial service institutions. This term covers a large …
novel technologies adopted by the financial service institutions. This term covers a large …
Towards the deployment of machine learning solutions in network traffic classification: A systematic survey
F Pacheco, E Exposito, M Gineste… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
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 …
Harnessing artificial intelligence capabilities to improve cybersecurity
Cybersecurity is a fast-evolving discipline that is always in the news over the last decade, as
the number of threats rises and cybercriminals constantly endeavor to stay a step ahead of …
the number of threats rises and cybercriminals constantly endeavor to stay a step ahead of …
Detecting and preventing cyber insider threats: A survey
Information communications technology systems are facing an increasing number of cyber
security threats, the majority of which are originated by insiders. As insiders reside behind …
security threats, the majority of which are originated by insiders. As insiders reside behind …
[HTML][HTML] Network traffic classification for data fusion: A survey
Traffic classification groups similar or related traffic data, which is one main stream
technique of data fusion in the field of network management and security. With the rapid …
technique of data fusion in the field of network management and security. With the rapid …
Machine-learning classification of texture features of portable chest X-ray accurately classifies COVID-19 lung infection
Background The large volume and suboptimal image quality of portable chest X-rays
(CXRs) as a result of the COVID-19 pandemic could post significant challenges for …
(CXRs) as a result of the COVID-19 pandemic could post significant challenges for …
Machine learning–based cyber attacks targeting on controlled information: A survey
Stealing attack against controlled information, along with the increasing number of
information leakage incidents, has become an emerging cyber security threat in recent …
information leakage incidents, has become an emerging cyber security threat in recent …
A one-dimensional convolutional neural network (1D-CNN) based deep learning system for network intrusion detection
The connectivity of devices through the internet plays a remarkable role in our daily lives.
Many network-based applications are utilized in different domains, eg, health care, smart …
Many network-based applications are utilized in different domains, eg, health care, smart …