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Volumn 3, Issue , 2007, Pages 2109-2112

Building lightweight intrusion detection system based on principal component analysis and C4.5 algorithm

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA STRUCTURES; FEATURE EXTRACTION; PRINCIPAL COMPONENT ANALYSIS; REDUNDANCY; RESOURCE ALLOCATION;

EID: 34347207572     PISSN: 17389445     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICACT.2007.358788     Document Type: Conference Paper
Times cited : (10)

References (12)
  • 1
    • 33845998197 scopus 로고    scopus 로고
    • Survey and Taxonomy of Feature Selection Algorithms in Intrusion Detection System
    • Springer Berlin Heidelberg
    • You Chen, "Survey and Taxonomy of Feature Selection Algorithms in Intrusion Detection System" Conference on Information Security and Cryptology, LNCS4318,pp.l53-167, Springer Berlin Heidelberg 2006
    • (2006) Conference on Information Security and Cryptology , vol.LNCS4318
    • Chen, Y.1
  • 2
    • 84943383590 scopus 로고    scopus 로고
    • A. H. Sung, S. Mukkamala, Identifying Important Features for Intrusion Detection Using Support Vector Machines and Neural Networks Proc. of the International Symposium on Applications and the Internet Technology, IEEE Computer Society Press, 2003, pp. 209-216.T.S.
    • A. H. Sung, S. Mukkamala, "Identifying Important Features for Intrusion Detection Using Support Vector Machines and Neural Networks" Proc. of the International Symposium on Applications and the Internet Technology, IEEE Computer Society Press, 2003, pp. 209-216.T.S.
  • 4
    • 24944485860 scopus 로고    scopus 로고
    • Dong Seong Kim, Ha-Nam Nguyen, Syng-Yup Ohn, Jong Sou Park, Fusions of GA and SVM for Anomaly Detection in Intrusion Detection System, ISNN (3) 2005, pp.415-420.
    • Dong Seong Kim, Ha-Nam Nguyen, Syng-Yup Ohn, Jong Sou Park, "Fusions of GA and SVM for Anomaly Detection in Intrusion Detection System", ISNN (3) 2005, pp.415-420.
  • 5
    • 84942785917 scopus 로고    scopus 로고
    • Consistency based feature selection
    • Kyoto, Japan
    • Dash M., Liu H., & Motoda H, "Consistency based feature selection", Proc. of the Fourth PAKDD 2000, Kyoto, Japan, 2000, pp. 98-109.
    • (2000) Proc. of the Fourth PAKDD , pp. 98-109
    • Dash, M.1    Liu, H.2    Motoda, H.3
  • 6
    • 0028496468 scopus 로고
    • Learning Boolean Concepts in the Presence of Many Irrelevant Features
    • H. Almuallim and T.G. Dietterich "Learning Boolean Concepts in the Presence of Many Irrelevant Features", Artificial Intelligence, vol. 69, nos. 1-2, 1994, pp. 279-305.
    • (1994) Artificial Intelligence , vol.69 , Issue.1-2 , pp. 279-305
    • Almuallim, H.1    Dietterich, T.G.2
  • 7
    • 34347228355 scopus 로고    scopus 로고
    • J. R. Quinlan. C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, 1993.
    • J. R. Quinlan. C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, 1993.
  • 9
    • 33846023346 scopus 로고    scopus 로고
    • available
    • KDD Cup 1999 Data. available. http://kdd.ics.uci.edu/databases/kddcup99/ kddcup99. html
    • (1999) Data
    • Cup, K.D.D.1
  • 10
    • 34347207771 scopus 로고    scopus 로고
    • Open Source WEKA Project, available
    • Open Source WEKA Project.: available http://www.cs.waikato.ac.nz/ml/weka/ index.latml
  • 11
    • 34347257968 scopus 로고    scopus 로고
    • Khaja Mohammad Shazzad, Jong Sou Park: Optimization of Intrusion Detection through Fast Hybrid Feature Selection.PDCAT'2005:0-7695-2405-2/05
    • Khaja Mohammad Shazzad, Jong Sou Park: Optimization of Intrusion Detection through Fast Hybrid Feature Selection.PDCAT'2005:0-7695-2405-2/05
  • 12
    • 33744922954 scopus 로고    scopus 로고
    • Jong Sou Park, Khaja Mohammad Shazzad, Dong Seong Kim:Toward Modeling Lightweight Intrusion Detection System Through Correlation-Based Hybrid Feature Selection.CISC 2005: 279-289. 5
    • Jong Sou Park, Khaja Mohammad Shazzad, Dong Seong Kim:Toward Modeling Lightweight Intrusion Detection System Through Correlation-Based Hybrid Feature Selection.CISC 2005: 279-289. 5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.