메뉴 건너뛰기




Volumn 18, Issue 6, 2007, Pages 1369-1378

Ensemble approach to intrusion detection based on improved multi-objective genetic algorithm

Author keywords

Feature selection; Intrusion detection; Multi objective genetic algorithm; Optimization; Selective ensemble

Indexed keywords

GENETIC ALGORITHMS; NETWORK SECURITY; OPTIMIZATION;

EID: 34447129541     PISSN: 10009825     EISSN: None     Source Type: Journal    
DOI: 10.1360/jos181369     Document Type: Article
Times cited : (23)

References (23)
  • 4
    • 19944364877 scopus 로고    scopus 로고
    • Feature deduction and ensemble design of intrusion detection systems
    • Chebrolu S, Abraham A, Thomas JP. Feature deduction and ensemble design of intrusion detection systems. Computer and Security, 2004,24(4):295-307.
    • (2004) Computer and Security , vol.24 , Issue.4 , pp. 295-307
    • Chebrolu, S.1    Abraham, A.2    Thomas, J.P.3
  • 7
    • 0038137315 scopus 로고    scopus 로고
    • Ensemble feature selection with the simple Bayesian classification
    • Tsymbal A, Puuronen S, Patterson DW. Ensemble feature selection with the simple Bayesian classification. Information Fusion, 2003,4(2):87-100.
    • (2003) Information Fusion , vol.4 , Issue.2 , pp. 87-100
    • Tsymbal, A.1    Puuronen, S.2    Patterson, D.W.3
  • 11
    • 0001953837 scopus 로고
    • Genetic algorithms for multiobjective optimization: Formulation, discussion and generalization
    • San Mateo: Morgan Kaufmann Publishers
    • Fonseca CM, Fleming PJ. Genetic algorithms for multiobjective optimization: formulation, discussion and generalization. In: Proc. of the 5th Int'l Conf. on Genetic Algorithms (ICGA'93). San Mateo: Morgan Kaufmann Publishers, 1993. 416-423.
    • (1993) Proc. of the 5th Int'l Conf. on Genetic Algorithms (ICGA'93) , pp. 416-423
    • Fonseca, C.M.1    Fleming, P.J.2
  • 12
    • 0036567392 scopus 로고    scopus 로고
    • Ensemble neural networks: Many could be better than all
    • Zhou ZH, Wu JX, Tang W. Ensemble neural networks: Many could be better than all. Artificial Intelligence, 2002,137(1-2): 239-263.
    • (2002) Artificial Intelligence , vol.137 , Issue.1-2 , pp. 239-263
    • Zhou, Z.H.1    Wu, J.X.2    Tang, W.3
  • 13
  • 15
    • 0032028297 scopus 로고    scopus 로고
    • Feature subset selection using a genetic algorithm
    • Yang J, Honavar V. Feature subset selection using a genetic algorithm. IEEE Intelligent Systems, 1998,13(2):44-49.
    • (1998) IEEE Intelligent Systems , vol.13 , Issue.2 , pp. 44-49
    • Yang, J.1    Honavar, V.2
  • 16
    • 27144519762 scopus 로고    scopus 로고
    • Feature subset selection, class separability, and genetic algorithms
    • Berlin: Springer-Verlag
    • Cantu-Paz E. Feature subset selection, class separability, and genetic algorithms. In: Proc. of the Genetic and Evolutionary Computation Conf. (GECCO). Berlin: Springer-Verlag, 2004. 959-970.
    • (2004) Proc. of the Genetic and Evolutionary Computation Conf. (GECCO) , pp. 959-970
    • Cantu-Paz, E.1
  • 19
    • 0000852513 scopus 로고
    • Multiobjective optimization using nondominated sorting in genetic algorithms
    • Srinivas N, Deb K. Multiobjective optimization using nondominated sorting in genetic algorithms. Evolutionary Computation, 1995, 2(3):221-248.
    • (1995) Evolutionary Computation , vol.2 , Issue.3 , pp. 221-248
    • Srinivas, N.1    Deb, K.2
  • 20
    • 0033640901 scopus 로고    scopus 로고
    • Comparison of algorithms that select features for pattern classifiers
    • Kudo M, Sklansky J. Comparison of algorithms that select features for pattern classifiers. Pattern Recognition, 2000,33:25-41.
    • (2000) Pattern Recognition , vol.33 , pp. 25-41
    • Kudo, M.1    Sklansky, J.2
  • 22
    • 84885774862 scopus 로고    scopus 로고
    • A framework for constructing features and models for intrusion detection systems
    • Lee WK, Stolfo SJ. A framework for constructing features and models for intrusion detection systems. ACM Trans. on Information and System Security, 2000,3(4):227-261.
    • (2000) ACM Trans. on Information and System Security , vol.3 , Issue.4 , pp. 227-261
    • Lee, W.K.1    Stolfo, S.J.2
  • 23
    • 34147192817 scopus 로고    scopus 로고
    • KDD99 cup dataset
    • The UCI KDD Archive
    • The UCI KDD Archive. KDD99 cup dataset. 1999. http://kdd.ics.uci.edu/databases/kddcup99/kddcup99.html
    • (1999)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.