메뉴 건너뛰기




Volumn , Issue , 2008, Pages 3548-3553

Anomaly prediction in network traffic using adaptive wiener filtering and arma modeling

Author keywords

Adaptive digital anomaly predictor; ARMA modeling; Majority voting; Network anomalies; Network security; Wiener filtering

Indexed keywords

ADAPTIVE DIGITAL ANOMALY PREDICTOR; ARMA MODELING; MAJORITY VOTING; NETWORK ANOMALIES; WIENER FILTERING;

EID: 69949112041     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2008.4811848     Document Type: Conference Paper
Times cited : (26)

References (19)
  • 2
    • 38049077367 scopus 로고    scopus 로고
    • Anomaly detection based on aggregated network behavior metrics
    • Shanghai, China, Sept. 21-25
    • G. Shen, et al. "Anomaly detection based on aggregated network behavior metrics," Proc. of Networks and Mobile Computing, Shanghai, China, Sept. 21-25, 2007, pp. 2210-2213.
    • (2007) Proc. of Networks and Mobile Computing , pp. 2210-2213
    • Shen, G.1
  • 3
    • 0032178081 scopus 로고    scopus 로고
    • Data networks as cascades: Investigating the multifractal nature of Internet WAN traffic
    • 28, pp
    • A. Feldman, et al., "Data networks as cascades: Investigating the multifractal nature of Internet WAN traffic," Proc. of ACM/SIGCOMM 98, vol. 28, pp. 42-55, 1998.
    • (1998) Proc. of ACM/SIGCOMM , vol.98 , pp. 42-55
    • Feldman, A.1
  • 4
    • 69949119087 scopus 로고    scopus 로고
    • W. Yurcik and Y. Li, Internet security visualization case study: Instrumenting a network for NetFlow security visualization tools, in Proc. of ACSAC 05, 2005.
    • W. Yurcik and Y. Li, "Internet security visualization case study: Instrumenting a network for NetFlow security visualization tools," in Proc. of ACSAC 05, 2005.
  • 6
    • 33645155484 scopus 로고    scopus 로고
    • An aggregation technique for traffic monitoring
    • K. Cho, et al., "An aggregation technique for traffic monitoring," in Proc. of SAINT, 2002, pp. 74-81.
    • (2002) Proc. of SAINT , pp. 74-81
    • Cho, K.1
  • 9
    • 33745874149 scopus 로고    scopus 로고
    • Characteristics of internet background radiation
    • Oct. 25-27, Taormina, Sicily, Italy
    • R. Pang, et al., "Characteristics of internet background radiation," in Proc. IMC'04, Oct. 25-27, 2004, Taormina, Sicily, Italy.
    • (2004) Proc. IMC'04
    • Pang, R.1
  • 10
    • 34147111253 scopus 로고    scopus 로고
    • Network intrusion detection in covariance feature space
    • S. Jin, et al., "Network intrusion detection in covariance feature space," Pattern Recognition 40 (2007), 2185-2197.
    • (2007) Pattern Recognition , vol.40 , pp. 2185-2197
    • Jin, S.1
  • 12
    • 0033876324 scopus 로고    scopus 로고
    • A predictability analysis of network traffic
    • A. Sang and S. Li, "A predictability analysis of network traffic," in Proc. of INFOCAM 2000, vol. 1, pp. 342-351.
    • (2000) Proc. of INFOCAM , vol.1 , pp. 342-351
    • Sang, A.1    Li, S.2
  • 17
    • 69949188654 scopus 로고
    • Tests for Serial Correlation in Regression Analysis Based on the Periodogram of Least-Squares Residuals
    • Sep
    • W. L. Crum, "Tests for Serial Correlation in Regression Analysis Based on the Periodogram of Least-Squares Residuals," Journal of the American Statistical Association, Vol. 18, No. 143. (Sep., 1923), pp. 889-899.
    • (1923) Journal of the American Statistical Association , vol.18 , Issue.143 , pp. 889-899
    • Crum, W.L.1
  • 18
    • 0003334194 scopus 로고
    • The Resemblance Between the Ordinate of the Periodogram and the Correlation Coefficient
    • March
    • J. Durbin, "The Resemblance Between the Ordinate of the Periodogram and the Correlation Coefficient," Biometrika, Vol. 56, No. 1. March 1969, pp. 1-15
    • (1969) Biometrika , vol.56 , Issue.1 , pp. 1-15
    • Durbin, J.1
  • 19
    • 33646007938 scopus 로고    scopus 로고
    • V. Alarcon-Aquino and J.A. Barria, Multiresolution FIR neural-network-based learning algorithm applied to network traffic prediction, IEET-SMC, Part C., 36, No. 2, pp. 208-220, March 2006
    • V. Alarcon-Aquino and J.A. Barria, "Multiresolution FIR neural-network-based learning algorithm applied to network traffic prediction," IEET-SMC, Part C., Vol. 36, No. 2, pp. 208-220, March 2006


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.