Encrypted Network Traffic Analysis and Classification Utilizing Machine Learning [PDF]
SensorsEncryption is a fundamental security measure to safeguard data during transmission to ensure confidentiality while at the same time posing a great challenge for traditional packet and traffic inspection.
Ibrahim A. Alwhbi +2 more
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PACKETCLIP: multi-modal embedding of network traffic and language for cybersecurity reasoning [PDF]
Frontiers in Artificial IntelligenceTraffic classification is vital for cybersecurity, yet encrypted traffic poses significant challenges. We introduce PACKETCLIP which is a multi-modal framework combining packet data with natural language semantics through contrastive pre-training and ...
Ryozo Masukawa +7 more
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A Real Network Environment Dataset for Traffic Analysis [PDF]
Scientific DataThe objective of internet traffic analysis is to identify latent patterns and ascertain the true state of internet operations by examining traffic data.
Wei Jiang +4 more
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Deep Learning-Based Efficient Analysis for Encrypted Traffic
Applied Sciences, 2023 To safeguard user privacy, critical Internet traffic is often transmitted using encryption. While encryption is crucial for protecting sensitive information, it poses challenges for traffic identification and poses hidden dangers to network security.
Xiaodan Yan
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A VPN-Encrypted Traffic Identification Method Based on Ensemble Learning
Applied Sciences, 2022 One of the foundational and key means of optimizing network service in the field of network security is traffic identification. Various data transmission encryption technologies have been widely employed in recent years.
Jie Cao +4 more
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Electronics Letters, 2021 Traditional network intrusion detection methods lack the ability of automatic feature extraction for encrypted network malicious traffic, and thus, the detection rates are low.
Jin Yang +4 more
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VoIP Traffic Detection in Tunneled and Anonymous Networks Using Deep Learning
IEEE Access, 2021 Network management is facing a great challenge to analyze and identify encrypted network traffic with specific applications and protocols. A significant number of network users applying different encryption techniques to network applications and services
Faiz Ul Islam +3 more
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A novel dataset for encrypted virtual private network traffic analysis
Data in Brief, 2023 Encryption of network traffic should guarantee anonymity and prevent potential interception of information. Encrypted virtual private networks (VPNs) are designed to create special data tunnels that allow reliable transmission between networks and/or end
Mohamed Naas, Jan Fesl
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Semi-2DCAE: a semi-supervision 2D-CNN AutoEncoder model for feature representation and classification of encrypted traffic [PDF]
PeerJ Computer Science, 2023 Traffic classification is essential in network-related areas such as network management, monitoring, and security. As the proportion of encrypted internet traffic rises, the accuracy of port-based and DPI-based traffic classification methods has declined.
Jun Cui +4 more
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Malicious Traffic Detection Combining Features of Packet Payload and Stream Fingerprint [PDF]
Jisuanji gongcheng, 2020 The data sets for the detection of malicious traffic by the SSL/TLS protocol are single-sourced.Traditional detection methods take the quintuple feature of network traffic as the main feature for classification,which reduces the accuracy of malicious ...
HU Bin, ZHOU Zhihong, YAO Lihong, LI Jianhua
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