[HTML][HTML] Network traffic classification: Techniques, datasets, and challenges
In network traffic classification, it is important to understand the correlation between network
traffic and its causal application, protocol, or service group, for example, in facilitating lawful …
traffic and its causal application, protocol, or service group, for example, in facilitating lawful …
Advancing network security in industrial IoT: a deep dive into AI-enabled intrusion detection systems
The increasing use of Industrial Internet of Things (IIoT) devices has heightened concerns
about cybersecurity threats, particularly botnet attacks. Traditional internet communication …
about cybersecurity threats, particularly botnet attacks. Traditional internet communication …
Graph neural networks for anomaly detection in industrial Internet of Things
The Industrial Internet of Things (IIoT) plays an important role in digital transformation of
traditional industries toward Industry 4.0. By connecting sensors, instruments, and other …
traditional industries toward Industry 4.0. By connecting sensors, instruments, and other …
Shift to 6G: Exploration on trends, vision, requirements, technologies, research, and standardization efforts
S Chavhan - Sustainable Energy Technologies and Assessments, 2022 - Elsevier
Recent technological breakthroughs and significant expansion in the number of Internet-of-
Things (IoT) devices, a new paradigm of unparalleled user experiences, dramatically …
Things (IoT) devices, a new paradigm of unparalleled user experiences, dramatically …
Intelligent techniques for detecting network attacks: review and research directions
The significant growth in the use of the Internet and the rapid development of network
technologies are associated with an increased risk of network attacks. Network attacks refer …
technologies are associated with an increased risk of network attacks. Network attacks refer …
Stochastic gradient descent classifier-based lightweight intrusion detection systems using the efficient feature subsets of datasets
J Azimjonov, T Kim - Expert Systems with Applications, 2024 - Elsevier
Abstract The Internet of Things (IoT) has become an essential part of our daily lives.
However, with the increasing use of IoT, the number of botnet attacks targeting resource …
However, with the increasing use of IoT, the number of botnet attacks targeting resource …
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 …
Data transformation schemes for cnn-based network traffic analysis: A survey
J Krupski, W Graniszewski, M Iwanowski - Electronics, 2021 - mdpi.com
The enormous growth of services and data transmitted over the internet, the bloodstream of
modern civilization, has caused a remarkable increase in cyber attack threats. This fact has …
modern civilization, has caused a remarkable increase in cyber attack threats. This fact has …
Network traffic classification using deep learning networks and Bayesian data fusion
The rapid growth of current computer networks and their applications has made network
traffic classification more important. The latest approach in this field is the use of deep …
traffic classification more important. The latest approach in this field is the use of deep …
Enhanced Network Traffic Classification with Machine Learning Algorithms
Network traffic classification plays a critical role in maintaining the security and efficiency of
modern computer networks. Existing techniques often have problems effectively identifying …
modern computer networks. Existing techniques often have problems effectively identifying …