Data Traffic Monitoring and Analysis: From Measurement, Classification, and Anomaly Detection to Quality of Experience This book was prepared as the Final Publication of COST Action IC0703 "Data Traffic Monitoring and Analysis: theory, techniques, tools and applications for... E Biersack,C Callegari...
In 2019 he started his doctorate in collaboration with the Public University of Navarre (UPNA), focusing his works on graph analysis, machine learning, data augmentation and classification. Francesco is involved in several European and industrial projects related to cybersecurity, blockchain analysis ...
Analysis of the impact of sampling on NetFlow traffic classification The traffic classification problem has recently attracted the interest of both network operators and researchers. Several machine learning (ML) methods hav... Valentín Carela-Espaol,P Barlet-Ros,A Cabellos-Aparicio,... - 《Compute...
应用识别机器学习无监督聚类有监督分类This paper introduced the different levels of traffic analysis and relevant knowledge of machine learning,and analyzed some problems in traffic classification technologies,including port number analysis and payload-based analysis.Considering that different applications generate...
Network traffic analysis is important because network traffic patterns can vary widely. The routes that packets traverse as they move between network segments and endpoints may vary, for example, resulting in different levels of performance depending on how efficient the various routes are. Likewise, ...
Network Flow Classification网络数据流分类 3)network traffic analysis网络流量分析 1.Design and Implementation of the Application Layer Protocol Analysis in Research of Network Traffic Analysis;网络流量分析研究中的应用层协议分析的设计与实现 2.Research on Network Traffic Analysis Based on Machine Learning;基...
Traffic identification is a key task for any Internet Service Providers (ISP) or network administrators. Neural network is an important research method on traffic classification, this paper introduces the important methods of traffic classification,through study on Principal Component Analysis(PCA) and BP...
The proposed method possesses the superior capability of detecting unknown flows generated by unknown applications and utilizing the correlation information among real-world network traffic to boost the classification performance. A theoretical analysis is provided to confirm performance benefit of the ...
Motivated by the importance of network traffic classification, this study provides a comprehensive survey of the most prevalent trafficclassification techniques. Beside the discussion of the port-based and DPI techniques, we provide an in-depth analysis of both the machine learning with statistical featu...
Streaming solutions for fine grained network traffic measurement and analysis. IEEE/ACM Transactions on Networking, Vol. 22. No. 2. PP. 377-390.K. ... Khan,Hosein,Ghiasi,... 被引量: 1发表: 2022年 A Two-Phase Approach to Fast and Accurate Classification of Encrypted Traffic IEEE/ACM Tra...