Machine learning for wireless link quality estimation: A survey

G Cerar, H Yetgin, M Mohorčič… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Since the emergence of wireless communication networks, a plethora of research papers
focus their attention on the quality aspects of wireless links. The analysis of the rich body of …

Survey of protocol reverse engineering algorithms: Decomposition of tools for static traffic analysis

S Kleber, L Maile, F Kargl - IEEE Communications Surveys & …, 2018 - ieeexplore.ieee.org
Knowledge about a network protocol to understand the communication between entities is
necessary for vulnerability research, penetration testing, malware analysis, network …

Detecting android malware leveraging text semantics of network flows

S Wang, Q Yan, Z Chen, B Yang… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The emergence of malicious apps poses a serious threat to the Android platform. Most types
of mobile malware rely on network interface to coordinate operations, steal users' private …

Byte segment neural network for network traffic classification

R Li, X **ao, S Ni, H Zheng, S **a - 2018 IEEE/ACM 26th …, 2018 - ieeexplore.ieee.org
Network traffic classification, which can map network traffic to protocols in the application
layer, is a fundamental technique for network management and security issues such as …

EBSNN: Extended byte segment neural network for network traffic classification

X **ao, W **ao, R Li, X Luo, H Zheng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Network traffic classification is important to intrusion detection and network management.
Most of existing methods are based on machine learning techniques and rely on the …

TCGNN: Packet-grained network traffic classification via Graph Neural Networks

G Hu, X **ao, M Shen, B Zhang, X Yan, Y Liu - Engineering Applications of …, 2023 - Elsevier
Network traffic classification is the fundamental and vital function for network management,
network security and so on. With the traffic scenarios becoming more and more complex …

Encrypted TLS traffic classification on cloud platforms

X Yun, Y Wang, Y Zhang, C Zhao… - IEEE/ACM Transactions …, 2022 - ieeexplore.ieee.org
Nowadays, encryption technology has been widely used to protect user privacy. With the
explosive growth of mobile Internet, encrypted TLS traffic rises sharply and occupies a great …

Khaos: An adversarial neural network DGA with high anti-detection ability

X Yun, J Huang, Y Wang, T Zang… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
A botnet is a network of remote-controlled devices that are infected with malware controlled
by botmasters in order to launch cyber attacks. To evade detection, the botmaster frequently …

A multi-scale feature attention approach to network traffic classification and its model explanation

Y Wang, X Yun, Y Zhang, C Zhao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Network traffic classification, the task of associating network traffic with their generating
application protocols or applications, is valuable for the control, allocation, and management …

$ Bitcoding $: Network traffic classification through encoded bit level signatures

N Hubballi, M Swarnkar - IEEE/ACM Transactions On …, 2018 - ieeexplore.ieee.org
With many network protocols using obfuscation techniques to hide their identity, robust
methods of traffic classification are required. In traditional deep-packet-inspection (DPI) …