Research Article

Detection accuracy of network anomalies using sampled flow statistics†

  1. Ryoichi Kawahara1,*,
  2. Keisuke Ishibashi2,
  3. Tatsuya Mori1,
  4. Noriaki Kamiyama1,
  5. Shigeaki Harada3,
  6. Haruhisa Hasegawa1,
  7. Shoichiro Asano4

Article first published online: 9 MAR 2011

DOI: 10.1002/nem.777

Issue

International Journal of Network Management

International Journal of Network Management

Volume 21, Issue 6, pages 513–535, November/December 2011

Additional Information

How to Cite

Kawahara, R., Ishibashi, K., Mori, T., Kamiyama, N., Harada, S., Hasegawa, H. and Asano, S. (2011), Detection accuracy of network anomalies using sampled flow statistics. Int. J. Network Mgmt., 21: 513–535. doi: 10.1002/nem.777

Author Information

  1. 1

    NTT Service Integration Laboratories, NTT Corporation, Tokyo 180-8585, Japan

  2. 2

    NTT Information Sharing Platform Laboratories, NTT Corporation, Tokyo 180-8585, Japan

  3. 3

    NTT-WEST Research and Development Center, Osaka, Japan

  4. 4

    National Institute of Informatics, Tokyo 101-8430, Japan

*NTT Service Integration Laboratories, NTT Corporation, 3-9-11 Midori-cho, Musashino-shi, Tokyo 180-8585, Japan

  1. †

    This paper is an extension of our previous work that was presented at IEEE Globecom 2007 [1] and IEEE SAINT 2007 Workshop [2].

Publication History

  1. Issue published online: 17 NOV 2011
  2. Article first published online: 9 MAR 2011
  3. Manuscript Accepted: 30 DEC 2010
  4. Manuscript Revised: 9 DEC 2010
  5. Manuscript Received: 9 FEB 2010

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