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Volumn , Issue , 2006, Pages 359-364

To identify suspicious activity in anomaly detection based on soft computing

Author keywords

Anomaly detection; Fuzzy c means; Intrusion detection; Network security; Rough set; Suspicious activity

Indexed keywords

CLUSTER ANALYSIS; FUZZY SETS; NETWORK SECURITY; PROJECT MANAGEMENT; ROUGH SET THEORY; TELECOMMUNICATION TRAFFIC;

EID: 38049121550     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (22)
  • 7
    • 0036613083 scopus 로고    scopus 로고
    • An immunity-based technique to characterize intrusions in computer networks
    • June
    • D.Dagupta and F. Gonzalez, An immunity-based technique to characterize intrusions in computer networks, IEEE Transactions on Evolutionary Computation, 6, June 2002, 28-291.
    • (2002) IEEE Transactions on Evolutionary Computation , vol.6 , pp. 28-291
    • Dagupta, D.1    Gonzalez, F.2
  • 12
    • 0030217431 scopus 로고    scopus 로고
    • J. Katzberg and W. Ziarko, Variable precision extension of rough sets, In W. Ziarko (ed.) Fundamental Information, Special Issue on Rough Sete, 27, (2-3), 1996, 155-168.
    • J. Katzberg and W. Ziarko, Variable precision extension of rough sets, In W. Ziarko (ed.) Fundamental Information, Special Issue on Rough Sete, 27, (2-3), 1996, 155-168.
  • 15
    • 38049106027 scopus 로고    scopus 로고
    • KDD data set, 1999; http://kdd.ics.uci.edu/databases/kddcup99/kddcup99. html
    • (1999)
    • data set, K.D.D.1
  • 16
    • 84874124494 scopus 로고    scopus 로고
    • Visualization of anomaly detection using prediction sensitivity
    • April
    • P. Laskov, K. Rieck, C. Schäfer, K.R. Müller, "Visualization of anomaly detection using prediction sensitivity", Proc.of Sicherheit, April 2005, 197-208.
    • (2005) Proc.of Sicherheit , pp. 197-208
    • Laskov, P.1    Rieck, K.2    Schäfer, C.3    Müller, K.R.4
  • 19
    • 38049111135 scopus 로고    scopus 로고
    • W. Chimphlee, Abdul Hanan Abdullah, Mohd Noor Md Sap and S. Chimphlee, Unsupervised Anomaly Detection with Unlabeled Data Using Clustering, Proc. Int. Conf. on ICT-Mercu Buana ICT2005. 4249.
    • W. Chimphlee, Abdul Hanan Abdullah, Mohd Noor Md Sap and S. Chimphlee, "Unsupervised Anomaly Detection with Unlabeled Data Using Clustering", Proc. Int. Conf. on ICT-Mercu Buana ICT2005. 4249.
  • 22
    • 16244386505 scopus 로고    scopus 로고
    • G. Chakraborty, B.Chakraborty, A Rough-GA Hybrid Algorithm for Rule Extraction from Large Data, IEEE International conference on Computational Intelligence on Measurement Systems and Applications (CIMSA 2004), 14-16 July, Boston, USA, 2004, pp. 85-90.
    • G. Chakraborty, B.Chakraborty, "A Rough-GA Hybrid Algorithm for Rule Extraction from Large Data", IEEE International conference on Computational Intelligence on Measurement Systems and Applications (CIMSA 2004), 14-16 July, Boston, USA, 2004, pp. 85-90.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.