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Robot Communication: Network Traffic Classification Based on Deep Neural Network [PDF]
Frontiers in Neurorobotics, 2021 With the rapid popularization of robots, the risks brought by robot communication have also attracted the attention of researchers. Because current traffic classification methods based on plaintext cannot classify encrypted traffic, other methods based ...
Mengmeng Ge, Xiangzhan Yu, Likun Liu
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Condensation of Data and Knowledge for Network Traffic Classification: Techniques, Applications, and Open Issues [PDF]
SensorsThe accurate and efficient classification of network traffic, including malicious traffic, is essential for effective network management, cybersecurity, and resource optimization.
Changqing Zhao +3 more
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Network Traffic Classification by Program Synthesis [PDF]
Tools and Algorithms for the Construction and Analysis of Systems27th International Conference, 2021 AbstractWriting classification rules to identify interesting network traffic is a time-consuming and error-prone task. Learning-based classification systems automatically extract such rules from positive and negative traffic examples. However, due to limitations in the representation of network traffic and the learning strategy, these systems lack both
Shi L, Li Y, Loo B, Alur R.
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Software defined networking based network traffic classification using machine learning techniques [PDF]
Scientific ReportsThe classification of network traffic has become increasingly crucial due to the rapid growth in the number of internet users. Conventional approaches, such as identifying traffic based on port numbers and payload inspection are becoming ineffective due ...
Ayodeji Olalekan Salau +1 more
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Wasit Journal of Computer and Mathematics Science, 2023 The network traffic congestion classifier is essential for network monitoring systems. Network traffic characterization is a methodology to classify traffic into several classes supporting various attributes.
Ahmed Elngar, Adriana Burlea-Schiopoiu
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Network Traffic Obfuscation against Traffic Classification
Security and Communication Networks, 2022 In recent years, tremendous progress has been made in network traffic classification and its use has become ubiquitous in many emerging applications, such as Internet censorship in many countries and ISP traffic engineering. However, the traffic analysis of intermediaries brings the risk of privacy disclosure to users.
Likun Liu +3 more
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Heliyon, 2023 The process of examining the data flow over the internet to identify abnormalities in wireless network performance is known as network traffic analysis. When analyzing network traffic data, traffic classification becomes an important task.
Arpit Jain +7 more
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Procedures, Criteria, and Machine Learning Techniques for Network Traffic Classification: A Survey
IEEE Access, 2022 Traffic classification is considered an important research area due to the increasing demand in network users. It not only effectively improve the network service identifications and security issues of the traffic network, but also provide robust ...
Muhammad Sameer Sheikh, Yinqiao Peng
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Model of the malicious traffic classification based on hypergraph neural network
网络与信息安全学报, 2023 As the use and reliance on networks continue to grow, the prevalence of malicious network traffic poses a significant challenge in the field of network security.Cyber attackers constantly seek new ways to infiltrate systems, steal data, and disrupt ...
Wenbo ZHAO, Zitong MA, Zhe YANG
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Anonymous traffic classification based on three-dimensional Markov image and deep learning [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2023 Illegal elements use the characteristics of an anonymous network hidden service mechanism to build a dark network and conduct various illegal activities, which brings a serious challenge to network security.
Xin Tang +5 more
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