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中山大学网络与信息中心,广东 广州 510275
[ "何海涛(1975- ),男,安徽淮北人,博士,中山大学高级工程师,主要研究方向为因特网流量行为、大数据等。" ]
[ "黎恩磊(1995- ),男,河南漯河人,中山大学助理工程师,主要研究方向为数字取证、流量分析。" ]
[ "赵琼(1983- ),男,湖北黄冈人,中山大学工程师,主要研究方向为计算机网络技术。" ]
[ "姚仁龙(1992- ),男,安徽安庆人,中山大学助理工程师,主要研究方向为人工智能、流量分析。" ]
[ "韦雨君(1997- ),女,贵州贵阳人,中山大学助理工程师,主要研究方向为网络安全、流量分析。" ]
收稿日期:2024-10-30,
纸质出版日期:2024-11-30
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何海涛,黎恩磊,赵琼等.基于Flow的电子资源网络行为分析实践[J].通信学报,2024,45(Z2):140-144.
HE Haitao,LI Enlei,ZHAO Qiong,et al.Flow-based electronic resource network behavior analysis practice[J].Journal on Communications,2024,45(Z2):140-144.
何海涛,黎恩磊,赵琼等.基于Flow的电子资源网络行为分析实践[J].通信学报,2024,45(Z2):140-144. DOI: 10.11959/j.issn.1000-436x.2024242.
HE Haitao,LI Enlei,ZHAO Qiong,et al.Flow-based electronic resource network behavior analysis practice[J].Journal on Communications,2024,45(Z2):140-144. DOI: 10.11959/j.issn.1000-436x.2024242.
在高校环境中,电子资源的访问情况分析对资源管理和优化至关重要。基于此,提出了一种基于流量长短流分类和聚合的方法,通过对流量进行精细化分类和统计,准确评估不同类型用户的使用行为。首先,对校园网访问数据库相关的流量进行了统计分析;接着,构造了访问scihub的流量数据并进行了统计分析;最后,根据电子资源访问的流量的统计分析,提出了流量长短流分类和聚合的方法,该方法可以有效对电子资源的访问行为进行分类。
In a university environment
analyzing the access patterns of electronic resource is crucial for resource management and optimization. A method based on the classification and aggregation of network flows into long and short flows was proposed. By finely classifying and statistically analyzing traffic
it accurately assessed the usage behaviors of different types of users. First
a statistical analysis of traffic related to electronic resource access was performed on the campus network.Then
traffic data related to accessing Sci-Hub was constructed and analyzed. Finally
based on the statistical analysis of electronic resource access traffic
a method for classifying and aggregating long and short flows was proposed. This method effectively classifies electronic resource access behaviors.
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CHEN G . Design and application of electronic resource use statistical analysis system based on fiddler agent [J ] . Library and Information Service , 2018 , 62 ( 13 ): 30 - 36 .
杨敏 , 何海涛 , 赵琼 . 流量大数据安全分析平台的设计与实现 [J ] . 通信学报 , 2018 , 39 ( S1 ): 104 - 109 .
YANG M , HE H T , ZHAO Q . Design and implementation of traffic big data security analysis platform [J ] . Journal on Communications , 2018 , 39 ( S1 ): 104 - 109 .
IN C S . A survey of network traffic monitoring and analysis tools [R ] . 2009 .
THOMPSON K , MILLER G J , WILDER R . Wide-area Internet traffic patterns and characteristics [J ] . IEEE Network , 1997 , 11 ( 6 ): 10 - 23 .
BROWNLEE N , CLAFFY K C . Understanding Internet traffic streams: dragonflies and tortoises [J ] . IEEE Communications Magazine , 2002 , 40 ( 10 ): 110 - 117 .
FU C P , LI Q , XU K . Flow interaction graph analysis: unknown encrypted malicious traffic detection [J ] . IEEE/ACM Transactions on Networking , 2024 , 32 ( 4 ): 2972 - 2987 .
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