GCN‐ETA: High‐Efficiency Encrypted Malicious Traffic Detection
J Zheng, Z Zeng, T Feng - Security and Communication …, 2022 - Wiley Online Library
Encrypted network traffic is the principal foundation of secure network communication, and it
can help ensure the privacy and integrity of confidential information. However, it hides the …
can help ensure the privacy and integrity of confidential information. However, it hides the …
Intrusion Detection for Encrypted Flows Using Single Feature Based on Graph Integration Theory
Y Han, X Wang, M He, X Wang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
To ensure the privacy and security of Internet of Things data, encrypted transmission of data
has become a common approach. However, this has also introduced limitations for the …
has become a common approach. However, this has also introduced limitations for the …
[PDF][PDF] SSL/TLS encrypted traffic application layer protocol and service classification
K Li, B Lang, H Liu, S Chen - CS IT Conf. Proc, 2022 - csitcp.com
Network traffic protocols and service classification are the foundations of network quality of
service (QoS) and security technologies, which have attracted increasing attention in recent …
service (QoS) and security technologies, which have attracted increasing attention in recent …
Research on novel TLS protocol network traffic management and monitoring method
Y Guan, Z Li, G Xiong - Proceedings of the 7th International Conference …, 2022 - dl.acm.org
With the development of Internet technology, more and more websites use the novel TLS
encryption technologies (such as TLS1. 3, DOH, ESNI, etc.). The full encryption technology …
encryption technologies (such as TLS1. 3, DOH, ESNI, etc.). The full encryption technology …
One-dimensional CNN Model of Network Traffic Classification based on Transfer Learning.
L Yang, Y Dong, Z Wang, F Gao - KSII Transactions on …, 2024 - search.ebscohost.com
There are some problems in network traffic classification (NTC), such as complicated
statistical features and insufficient training samples, which may cause poor classification …
statistical features and insufficient training samples, which may cause poor classification …
Improving machine learning model performance on detection of network infiltration
V Bulavas - 2021 14th International Conference on Human …, 2021 - ieeexplore.ieee.org
Network Intrusion Detection research datasets concentrate on recognition of malignant traffic
and often present benign traffic as one class. Some classes with extremely low …
and often present benign traffic as one class. Some classes with extremely low …