Correlation among piecewise unwanted traffic time series

GLOBECOM - IEEE Global Telecommunications Conference

Volumn , Issue , 2008, Pages 1616-1620

  Fukuda, Kensuke ^a   Hirotsu, Toshio ^b   Akashi, Osamu ^c   Sugawara, Toshiharu ^d  

^a NATIONAL INSTITUTE OF INFORMATICS   (Japan)

^b TOYOHASHI UNIVERSITY OF TECHNOLOGY   (Japan)

^c NTT Network Innovation Laboratories   (Japan)

^d WASEDA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION COEFFICIENT; DARKNET; LONG-RANGE DEPENDENCIES; OR-NETWORKS; PIECE-WISE; POISSON PROCESS; PROPAGATION DELAYS; SMALL SIZE; SPATIAL CORRELATIONS; STATISTICAL BEHAVIOR; TEMPORAL AND SPATIAL CORRELATION; TEMPORAL CORRELATIONS; TRAFFIC TIME SERIES; UDP TRAFFIC; UNWANTED TRAFFIC;

CORRELATION METHODS; INTERNET PROTOCOLS; POISSON DISTRIBUTION; TIME SERIES ANALYSIS; TRANSMISSION CONTROL PROTOCOL;

TIME SERIES;

EID: 67249104170     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GLOCOM.2008.ECP.314     Document Type: Conference Paper

References (16)

1. M. Bailey, E. Cooke, F. Jahanian, and D. Watson. The internet motion sensor: A distributed blackhole monitoring system. In Network and Distributed System Security Symposium (NDSS), San Diego, CA, Feb. 2005.
2. P. Barford, J. Kline, D. Plonka, and A. Ron. A signal analysis of network traffic anomalies. In SIGCOMM Internet Measurement Workshop (IMW2002), pages 71-82, Marseille, France, Nov. 2002.
3. G. Dewaele, K. Fukuda, P. Borgnat, P. Abry, and K. Cho. Extracting hidden anomalies using sketch and non-gaussian multiresolution statistical detection procedures. In SIGCOMM Workshop on Large Scale Attack Defense (LSAD2007), pages 145-152, Kyoto, Aug. 2007.
4. K. Fukuda, L. A. N. Amaral, and H. E. Stanley. Dynamics of temporal correlation in daily internet traffic. In IEEE Globecom2003, pages 4069-4073, San Francisco, CA, Dec. 2003.
5. G. Huston. Ipv4 address report. http://www.potaroo.net/tools/ipv4/index. html.
6. R. Jain. The Art of Computer Systems Performance Analysis. John Wiley & Sons, 1991.
7. A. Lakhina, M. Crovella, and C. Diot. Diagnosing network-wide traffic anomalies. In SIGCOMM'04, pages 219-230, Portland OR, Aug. 2004.
8. D. Moore, C. Shannon, D. Brown, G. M. Voelker, and S. Savage. Inferring internet denial-of-service activity. ACM Transactions on Computer Systems, 24(2):115-139, May 2006.
9. D. Moore, C. Shannon, and J. Brown. Code-red: a case study on the spread and victims of an internet worm. In SIGCOMM Internet Measurement Workshop (IMW2002), pages 273-284, Marseille, France, Nov. 2002.
10. R. Pang, V. Yegneswaran, P. Barford, V. Paxson, and L. Peterson. Characteristics of internet backgournd radiation. In 4th ACM SIGCOMM Conference on Internet Measurement (IMC2004), pages 27-40, Sicily, Italy, Oct. 2004.
11. K. Park and W. Willinger. Self-similar network traffic and performance evaluation. John Wiley & Sons, 2000.
12. C.-K. Peng, S. Havlin, H. E. Stanley, and A. L. Goldberger. Quantification of scaling exponents and crossover phenomena in nonstationry heartbeat time series. Chaos, 5:82-87, 1995.
13. S. Staniford, D. Moore, V. Paxson, and N. Weaver. The top speed of flash worms. In WORM2004, pages 33-42, Washington, DC, Oct. 2004.
14. W. R. Stevens. TCP/IP Illustrated, Volume 1: The Protocol. Addison-Wesley, 1994.
15. The Honeynet Project. Know your enemy: Honeynets. http://www.honeynet. org, 2003.
16. Y. Zhang, Z. Ge, A. Greenberg, and M. Roughan. Network anomography. In SIGCOMM Internet Measurement Conference (IMC2005), pages 317-330, Berkeley, CA, Oct. 2005.