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Volumn , Issue , 2008, Pages 686-693

Optimizing Fuzzy K-means for network anomaly detection using PSO

Author keywords

[No Author keywords available]

Indexed keywords

ANOMALY INTRUSION DETECTION; DATA SETS; FALSE ALARMS; FUZZY K-MEANS; FUZZY LOGICS; INFORMATION SECURITY; INTERNATIONAL CONFERENCES; K-MEANS; LOCAL CONVERGENCE; NETWORK ANOMALY DETECTION; SHARP BOUNDARY PROBLEM; SOFT-COMPUTING TECHNIQUES; SWARM INTELLIGENCE; UNLABELED DATA; VARIOUS ATTACKS;

EID: 50049128484     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AICCSA.2008.4493603     Document Type: Conference Paper
Times cited : (33)

References (17)
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    • W. Chimphlee, A. Hanan Abdullah, M. Noor Md Sap, S. Srinoy, and S. Chimphlee, Anomaly-Based Intrusion Detection using Fuzzy Rough Clustering ,2006 International Conference on Hybrid Information Technology (ICHIT06) 0-7695-2674-8/06 $20.00 ©2006IEEE.
    • W. Chimphlee, A. Hanan Abdullah, M. Noor Md Sap, S. Srinoy, and S. Chimphlee," Anomaly-Based Intrusion Detection using Fuzzy Rough Clustering " ,2006 International Conference on Hybrid Information Technology (ICHIT06) 0-7695-2674-8/06 $20.00 ©2006IEEE.
  • 5
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    • Peter A. Burrough, John P. Wilson, Pauline F. M. van Gaans & Andrew J. Hansen,. Fuzzy k-means classification of topo-climatic data as an aid to forest mapping in the Greater Yellowstone Area, USA, Landscape Ecology 16: 523-546, 2001
    • Peter A. Burrough, John P. Wilson, Pauline F. M. van Gaans & Andrew J. Hansen,. "Fuzzy k-means classification of topo-climatic data as an aid to forest mapping in the Greater Yellowstone Area, USA", Landscape Ecology 16: 523-546, 2001
  • 6
    • 50049120423 scopus 로고    scopus 로고
    • M. Saniee Abadeha, J. Habibia, C. Lucasb, Intrusion detection using a fuzzy genetics-based learning algorithm, Journal of Network and Computer Applications www.elsevier.com/locate/jnca, May 2005
    • M. Saniee Abadeha, J. Habibia, C. Lucasb, " Intrusion detection using a fuzzy genetics-based learning algorithm", Journal of Network and Computer Applications www.elsevier.com/locate/jnca, May 2005
  • 8
    • 0004222346 scopus 로고    scopus 로고
    • Kennedy J, Eberhart RC, Shi Y, editors, San Francisco: Morgan Kaufman;
    • Kennedy J, Eberhart RC, Shi Y, editors. Swarm intelligence. San Francisco: Morgan Kaufman; 2001
    • (2001) Swarm intelligence
  • 9
    • 0001457509 scopus 로고
    • Some methods for classification and analysis of multivariate observations
    • University of California Press, Berkeley, pp
    • MacQueen, J.B., 1967. "Some methods for classification and analysis of multivariate observations", Proceedings of Fifth Berkeley Symposium on Mathematical Statistics and Probability, vol. 1. University of California Press, Berkeley, pp. 281-297.
    • (1967) Proceedings of Fifth Berkeley Symposium on Mathematical Statistics and Probability , vol.1 , pp. 281-297
    • MacQueen, J.B.1
  • 10
    • 34447580251 scopus 로고    scopus 로고
    • A comparative study of the K-means algorithm and the normal mixture model for clustering: Univariate case
    • Dingxi Qiu, Ajit C. Tamhane "A comparative study of the K-means algorithm and the normal mixture model for clustering: Univariate case" Journal of Statistical Planning and Inference 137 (2007) 3722 - 3740
    • (2007) Journal of Statistical Planning and Inference , vol.137 , pp. 3722-3740
    • Qiu, D.1    Tamhane, A.C.2
  • 11
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    • Evolving Fuzzy Classifiers for Intrusion Detection
    • United States Military Academy, West Point NY, June
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.