计算机科学 ›› 2019, Vol. 46 ›› Issue (6): 1-20.doi: 10.11896/j.issn.1002-137X.2019.06.001

• 大数据与数据科学* •    下一篇

大数据分析技术在网络领域中的研究综述

冯贵兰1, 李正楠2, 周文刚3   

  1. (中国民航飞行学院现代教育技术中心 四川 广汉 618307)1
    (中国民航飞行学院航空工程学院 四川 广汉 618307)2
    (中国民航飞行学院飞行技术学院 四川 广汉 618307)3
  • 收稿日期:2018-11-18 发布日期:2019-06-24
  • 通讯作者: 冯贵兰(1988-),女,硕士生,工程师,主要研究领域为大数据与网络安全,E-mail:fengguilan1016@sina.com
  • 作者简介:李正楠(1985-),男,主要研究领域为网络与信息安全;周文刚(1981-),男,博士生,讲师,主要研究领域为网络管理、人工智能等。
  • 基金资助:
    民航飞行数据分析研究项目(XM2852)资助。

Research on Application of Big Data Analytics in Network

FENG Gui-lan1, LI Zheng-nan2, ZHOU Wen-gang3   

  1. (Modern Education Technology Center,Civil Aviation Flight University of China,Guanghan,Sichuan 618307,China)1
    (Institute of Aviation Engineering,Civil Aviation Flight University of China,Guanghan,Sichuan 618307,China)2
    (Institute of Flight Technology,Civil Aviation Flight University of China,Guanghan,Sichuan 618307,China)3
  • Received:2018-11-18 Published:2019-06-24

摘要: 随着移动互联网、物联网、5G通信网等新兴技术的迅猛发展,数以亿计的网络接入点、联网设备以及网络应用产生的海量数据,给网络故障排查、网络安全保障等带来了极大的挑战,同时也为人们深度挖掘和充分利用网络大数据的巨大价值带来了机遇。大数据分析可以处理海量数据,并从中抽取有价值的潜在知识,帮助决策者发现隐藏的关系和模式,近年来引起了学术界和工业界的广泛关注。文中围绕大数据分析技术应用于网络领域的最新研究成果,首先阐述了网络大数据的概念、分类和数据分析方法;然后从无线网络、SDN网络、光纤网络和网络安全4个层面着重介绍了大数据分析技术在故障检测、流量监控、网络优化、流量预测、APT攻击检测、网络异常检测等网络领域中的解决方案,重点分析和归纳了这些解决方案中大数据分析技术的思路;接着回顾了大数据分析技术在工业界中应用的情况;在此基础上,给出了基于大数据分析的网络设计周期;最后总结了大数据分析技术在网络领域中面临的机遇和挑战,并指出下一步需要关注的研究方向。

关键词: 大数据分析, 流量预测, 频谱管控, 网络安全, 网络优化

Abstract: With the rapid development of new technologies like mobile internet,Internet of Things and 5G communication network,more and more infrastructures,devices and data are generated,such as hundreds of millions of network access points,networked devices,applications as well as massive data.Thus,great difficulties and challenges are brought to fault tolerance,cyberspace security,leading to some traditional solutions become inefficient to such large scale and complex security problems.Meanwhile,the increase of network big data presents unprecedented opportunities on deeply mining and taking full advantage of the big value of network big data.Big data analytics can extract hidden,valuable patterns,and useful information from big data.Therefore,both academia and industry have been attracted again by network field based on big data analytics,and have made certain research achievement.Researches on network field mainly involve four research directions,namely wireless network,SDN network,optical network and cyberspace security.First,the survey starts with the introduction of the big data basic concepts,data model and data analytics.Second,there is a detailed review of the current academic and industrial efforts toward network design using big data analytics.Third,the main network design cycle is illustrated by employing big data analytics.This cycle represents the umbrella concept that unifies the surveyed topics.Forth,the challenges confronted by the utilization of big data analytics in network design are identified.Finally,several future research directions are highlighted.

Key words: Big data analytics, Cyberspace security, Network optimization, Spectrum management, Traffic prediction

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