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TCP/IP骨干通信网流量规律性及异常检测方法 被引量：2

Traffic Periodic Analysis and Anomaly Detection on TCP/IP Backbone Network
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摘要 针对TCP/IP骨干网,提出一种新的基于业务流量周期规律特性的建模与异常检测方法.该方法通过挖掘骨干网主要业务流量的规律性,结合时间序列分析方法,有效地预测流量的变化趋势,避免了对复杂的流量非线性趋势进行建模分析. A new approach to model service traffic and performe anomaly detection on TCP/IP backbone in the perspective of periodic traffic feature was proposed. This method avoids the difficulty to model the uncertainty and nonlinear facts in traffic data and provides more accurate information than the thresholds-based detection method.
作者 吕述望 刘恒 沈昌祥
机构地区 中国科学院研究生院信息安全国家重点实验室 海军计算技术研究所
出处 《北京邮电大学学报》 EI CAS CSCD 北大核心 2005年第6期1-4,共4页 Journal of Beijing University of Posts and Telecommunications
基金 国家"973计划"项目(G1999035800) 国家"863计划"项目(2001AA142040)
关键词 TCP/IP骨干网 流量周期规律特性 异常检测 TCP/IP backbone traffic periodic analysis anomaly detection
分类号 TP393.08 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献5

  • 1Leland W,Taqqu M,Willinger W,et al.On the self-similar nature of ethernet traffic[J].IEEE/ACM Transactions on Networking (TON),1994.
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  • 3邹柏贤.一种网络异常实时检测方法[J].计算机学报,2003,26(8):940-947. 被引量：43
  • 4Maxion R A.Anomaly detection for diagnosis[A].Proceedings of the 20th International Symposium Fault-Tolerant Computing (FTCS-20)[C].1990.20-27.
  • 5Lawrence Ho L,Cavuto D J,Papavassiliou S,et al.Adaptive and automated detection of service anomalies in transaction-oriented WAN's:network analysis,algorithms,implementation,and deployment[J].IEEE Journal of Selected Areas in Communications,2000,18(5):744-757.

二级参考文献11

  • 1Throttan M, Ji C. Adaptive thresholding for proactive network problem detection. In: IEEE International Workshop on Systems Management, Newport, Rhode Island, 1998. 108-116.
  • 2Maxion R A. Anomaly detection for diagnosis. In: Proceedings of the 20th International Symposium Fault-Tolerant Computing(FTCS-20), 1990. 20-27.
  • 3Maxion R A, Feather F E. A case study of Ethernet anomalies in a distributed computing environment. IEEE Transactions on Reliability, 1990, 39(4): 433-443.
  • 4Lawrence Ho L, Cavuto D J, Papavassiliou S, Zawadzki A G.Adaptive and automated detection of service anomalies in trans-action-oriented WAN's: Network analysis, algorithms, implementation, and deployment. IEEE Journal of Selected Areas in Communications, 2000, 18(5): 744-757.
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  • 9Mehdi Nassehi. Anomaly detection for Markov models. IBM Research Division, Zurich Research Laboratory, Ruschlikon,Switzerland: Research Report RZ 3011 ( # 93057), 1998.
  • 10Dixon W J, Massey F J. Introduction to Statistical Analysis.3rd Edition. New York, NY: McGraw-Hill Book Company,1983.

共引文献42

同被引文献13

  • 1马忠成.偏相干方法分析及其工程应用[J].应用声学,1994,13(3):25-30. 被引量：6
  • 2张宝成 徐雪仙.舰船水下噪声测量和多输入／输出模型分析方法及其应用[J].目标与环境特性的研究,1998,(1):48-48.
  • 3章林柯.潜艇声学故障识别技术及其应用研究[D].武汉:海军工程大学,2006.
  • 4贝达特JS 皮尔索AG 著 凌福根 译.相关分析和谱分析的工程应用[M].北京:国防工业出版社,1983.41-74.
  • 5Maxion R A.Anomaly detection for diagnosis[C]//Proceedings of the 20th International Symposium Fault Tolerant Computing, 1990: 20-27.
  • 6Lawrence H L,Cavuto D J,Papavassiliou S,et al.Adaptive and automated detection of service anomalies in transactionoriented WAN's:network analysis,algorithms,implementation,and deployment[J]. IEEE Journal of Selected Areas in Communications,2000, 18 (5) : 744-757.
  • 7Vern P,Sally F.Wide area traffic:the failure of poissonmodeling[J]. IEEE/ACM Transactions on Networking, 1995,3:226-244.
  • 8章林柯,何琳,江涌.基于MIMO模型的潜艇声学故障预报研究[J].武汉理工大学学报（交通科学与工程版）,2008,32(2):320-322. 被引量：7
  • 9张宝成,徐雪仙.舰艇噪声源贡献定量估计的分析方法[J].船舶力学,1997,1(1):57-66. 被引量：7
  • 10何英,周东华,俞容.一种基于性能退化数据的电子设备缓变故障预报方法[J].仪器仪表学报,2008,29(7):1526-1529. 被引量：8

引证文献2

二级引证文献2

北京邮电大学学报
2005年 第6期

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