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面向管控的Mainline DHT网络测量与分析方法研究
田志宏,张信幸,楼芳,刘渊
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(中国工程物理研究院 计算机应用研究所 四川 绵阳 621900;哈尔滨工业大学 计算机科学与技术学院 黑龙江 哈尔滨 150001)
摘要:
作为最具有代表性的DHT网络,Mainline DHT网络凭借其用户数量庞大、分布地域广、运行稳定,正成为国际上结构化P2P网络研究和应用的热点。但由于Mainline DHT的异构性和复杂性,使得很难对其开展行之有效的管控手段。以面向有效管控的Mainline DHT网络测量分析为目标,在深刻理解Mainline DHT网络文件查询过程等相关细节的基础上,提出并设计了基于伪装节点发布、主动扩散和被动监听策略相结合的高效采集方法,通过获取节点分布、热门种子文件分布、客户端类型和端口分布等实际数据,测量并分析了Mainline DHT的网络性质和流量特征,为特定目标、区域管控等精细化、细粒度管控手段提供数据支撑及指导依据。
关键词:  Mainline DHT  网络测量  主动扩散  被动监听  网络管控
DOI:10.19363/j.cnki.cn10-1380/tn.2017.04.003
投稿时间:2016-06-07修订日期:2017-03-07
基金项目:国家自然科学基金(61572153);中国工程物理研究院发展基金(2014A0403020,2015A0403002);国防基础科研项目(JCKY2016212C005)
A Measurement and Analysis Study on Mainline DHT Network for Management and Control
TIAN Zhihong,ZHANG Xinxing,LOU Fang,LIU Yuan
Institute of Computer Application, Chinese Academy of Engineering Physics, Mianyang 621900, China;College of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China
Abstract:
As the most representative DHT network, Mainline DHT network has become a hot spot in the research and application of structured P2P network in the world because of its large number of users, wide distribution and stable operation. However, due to the heterogeneity and complexity of Mainline DHT, it is difficult to carry out effective management and control measures. For the effective control of the Mainline DHT network measurement analysis, based on a deep understanding of Mainline DHT network file query process and other related details, proposed and designed efficient acquisition method combining based on node distribution, diffusion and camouflage active passive listening strategies, through the acquisition of node distribution, file distribution, client type hot seeds port and distribution of the actual data, measurement and analyze the network properties and flow characteristics of Mainline DHT, to provide data support and guidance for specific objectives, regional control fine, fine-grained control means.
Key words:  Mainline DHT  network measurement  active spread  passive monitoring  network control