Results 151 to 160 of about 36,419 (228)

OTTer: A Scalable High-Resolution Encrypted Traffic Identification Engine

International Symposium on Recent Advances in Intrusion Detection, 2018
Several security applications rely on monitoring network traffic, which is increasingly becoming encrypted. In this work, we propose a pattern language to describe packet trains for the purpose of fine-grained identification of application-level events in encrypted network traffic, and demonstrate its expressiveness with case studies for distinguishing
Eva Papadogiannaki, Constantinos Halevidis, Periklis Akritidis, Lazaros Koromilas   +3 more
openaire   +2 more sources

An Encrypted Traffic Identification Method Based on RepVGG

Proceedings of the 2022 11th International Conference on Computing and Pattern Recognition, 2022
With the emergence of encrypted traffic, more and more researchers use AI technology to improve the accuracy of traffic identification. However, machine learning needs to rely on human experience to extract features, and the training of deep learning ...
Kemeng Wang, Quan Zhou, Zhikang Zeng, Menglong Chen   +3 more
openaire   +2 more sources

VPN encrypted traffic identification model based on improved residual network

Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023
Accurate classification of network traffic is the research basis for tasks such as network management, service quality optimization, abnormal traffic detection, etc.
Xiaodong Li, Yingmin Zhang, Yuqiang Li, Yuanfeng Song   +3 more
openaire   +2 more sources

Implementation of Malicious Encrypted Traffic Identification System Based on Transport Layer Behavior Characteristics

2023 International Conference on Computer Simulation and Modeling, Information Security (CSMIS), 2023
The identification of Malicious Encrypted Traffic (MET) is an important issue in the field of network security. This study proposes a new MET recognition system based on transport layer behavior characteristics, which is implemented through two steps ...
Kai Cheng, Tao Liu, Luming Li, Rixuan Qiu, Zhan Wu, Qiang Wang, Liang Liang, Mu Ren, Chaonan Qin   +8 more
semanticscholar   +1 more source

Deep learning based on byte sample entropy for VPN encrypted traffic identification

2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE), 2022
Network traffic identification is important for traffic engineering, resource allocation, network management, attack detection and improving network QoS.
Yajuan Wang, Gengshen Yu, Wen Shen, Lintan Sun   +3 more
semanticscholar   +1 more source

PEAN: A Packet-level End-to-end Attentive Network for Encrypted Traffic Identification

2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), 2021
Encrypted traffic identification is important to maintain the cybersecurity. Recently, as the SSL/TLS encryption protocols are widely used in modern Internet environment, how to identify the encrypted traffic become a big challenge.
Peng Lin, Yishen Hu, Yanying Lin, Kejiang Ye, Chengjie Xu   +4 more
semanticscholar   +1 more source

Protocol Identification of Encrypted Network Traffic

2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06), 2006
New means of communication are constantly emerg- ing, some of which may constitute resource mis- use of an organisation?s network system. Identify- ing the protocols used is straight-forward when in- specting network logs, but we focus on the problem of identifying the underlying protocol present in an unknown TCP connection.
Matthew Gebski, Alex Penev, Raymond K. Wong   +2 more
openaire   +1 more source

Encrypted Network Traffic Identification Based on 2D-CNN Model

2021 22nd Asia-Pacific Network Operations and Management Symposium (APNOMS), 2021
Rapid development of the Internet has enabled explosive growth of various network traffic. How to classify and identify different categories of network traffic among these huge network traffic for cyberspace security has always been a hot research topic.
Yan Zhou, Huiling Shi, Yuhan Zhao, Wei Gao, Wei Zhang   +4 more
openaire   +1 more source

Encrypted Network Traffic Analysis (ENTA) Platform: IMA VoIP Traffic Identification

NOMS 2025-2025 IEEE Network Operations and Management Symposium
This paper introduces the Encrypted Network Traffic Analysis (ENTA) platform, a scalable AI-driven system de-signed for traffic analysis with support for identifying encrypted VoIP traffic generated by instant messaging applications (IMAs).
Julia Weber, Srivathsan Thirumurugan, Riyad Alshammari, Nur Zincir-Heywood, Manjinder Nir, Donald Bennett, Delfin Montuno, Biswajit Nandy, Nabil Seddigh   +8 more
openaire   +2 more sources

Statistical identification of encrypted Web browsing traffic

Proceedings 2002 IEEE Symposium on Security and Privacy, 2005
Encryption is often proposed as a tool for protecting the privacy of World Wide Web browsing. However, encryption-particularly as typically implemented in, or in concert with popular Web browsers-does not hide all information about the encrypted plaintext. Specifically, HTTP object count and sizes are often revealed (or at least incompletely concealed).
null Qixiang Sun, D.R. Simon, null Yi-Min Wang, W. Russell, V.N. Padmanabhan, null Lili Qiu   +5 more
openaire   +1 more source