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Study on privacy preserving encrypted traffic detection
网络与信息安全学报, 2021 Existing encrypted traffic detection technologies lack privacy protection for data and models, which will violate the privacy preserving regulations and increase the security risk of privacy leakage.A privacy-preserving encrypted traffic detection system
Xinyu ZHANG +3 more
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Encrypted traffic identification scheme based on sliding window and randomness features
网络与信息安全学报With the development of information technology, network security has increasingly become a focal point for users and organizations, and encrypted data transmission has gradually become mainstream. This trend has driven the proportion of encrypted traffic
Jiachi LIU, Boyu KUANG, Mang SU, Yaqian XU, Anmin FU
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CNN for User Activity Detection Using Encrypted In-App Mobile Data
Future Internet, 2022 In this study, a simple yet effective framework is proposed to characterize fine-grained in-app user activities performed on mobile applications using a convolutional neural network (CNN). The proposed framework uses a time window-based approach to split
Madushi H. Pathmaperuma +3 more
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Review of Key Technologies of Incremental Intrusion Detection for Network Encrypted Traffic [PDF]
Jisuanji gongchengAs cyber threats continue to intensify, the concealment of encrypted traffic attacks and the suddenness of zero-day exploits have significantly reduced the detection efficiency of traditional intrusion detection systems.
CHEN Liangchen, FU Deyin, LIU Baoxu, GAO Shu, ZHANG Xuyao
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Trustworthy deep learning for encrypted traffic classification
Soft Computing, 2022 Abstract Network traffic classification refers to the identification of collected network traffic data of various applications, which is widely used in research fields such as network resource allocation, traffic scheduling and intrusion detection systems.
Zheng Li +5 more
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Study on SSL/TLS Encrypted Malicious Traffic Detection Algorithm Based on Graph Neural Networks [PDF]
Jisuanji kexueIn order to achieve precise detection of SSL/TLS encrypted malicious traffic,a graph neural network-based model for malicious encrypted traffic detection is proposed,to address the issue of excessive reliance on expert experience in traditional machine ...
TANG Ying, WANG Baohui
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Encrypted Traffic Classification of CNN and BiGRU Based on Self-attention [PDF]
Jisuanji kexueTo address the problems of low accuracy of traditional encrypted traffic classification methods,the use of traffic load will violate user privacy and weak generalization ability,an encrypted traffic classification method of CNN and BiGRU based on self ...
CHEN Siyu, MA Hailong, ZHANG Jianhui
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IEEE Access, 2023 With the rapid advancement of the internet and online applications, traffic classification has become an increasingly significant topic in computer networks. Managing network resources, improving service quality, and enhancing cybersecurity are critical.
Mehdi Seydali +3 more
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Measuring Video QoE from Encrypted Traffic
Proceedings of the 2016 Internet Measurement Conference, 2016 Tracking and maintaining satisfactory QoE for video streaming services is becoming a greater challenge for mobile network operators than ever before. Downloading and watching video content on mobile devices is currently a growing trend among users, that is causing a demand for higher bandwidth and better provisioning throughout the network ...
Dimopoulos, Georgios +3 more
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Research on Encrypted Traffic Detection Based on Key Features
IEEE AccessMost of the traffic on the Internet is encrypted traffic, and the detection of encrypted traffic is the current difficulty, because the internal features of the data are destroyed after encryption, and it is difficult to detect.
Fangjie Chen, Jingpeng Bai, Weihan Gao
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