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Volumn 12, Issue 10, 2012, Pages 3285-3290

An intelligent algorithm with feature selection and decision rules applied to anomaly intrusion detection

Author keywords

Anomaly detection; Decision tree; Intelligent algorithm; Simulated annealing; Support vector machine

Indexed keywords

ANOMALY DETECTION; ANOMALY INTRUSION DETECTION; DATA SETS; DECISION RULES; INTELLIGENT ALGORITHMS; INTRUSION DETECTION SYSTEMS; OR-NETWORKS; PARAMETER SETTING;

EID: 84864772502     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2012.05.004     Document Type: Article
Times cited : (188)

References (48)
  • 1
    • 84864763885 scopus 로고    scopus 로고
    • Wikipedia
    • Wikipedia. http://en.wikipedia.org/wiki/Intrusion-detection-system.
  • 11
    • 1542380677 scopus 로고    scopus 로고
    • Training a neural-network based intrusion detector to recognize novel attacks
    • S.C. Lee, and D.V. Heinbuch Training a neural-network based intrusion detector to recognize novel attacks Information Assurance and Security 2001 40 46
    • (2001) Information Assurance and Security , pp. 40-46
    • Lee, S.C.1    Heinbuch, D.V.2
  • 15
    • 33750514606 scopus 로고    scopus 로고
    • Modeling intrusion detection system using hybrid intelligent systems
    • DOI 10.1016/j.jnca.2005.06.003, PII S1084804505000445, Network and Information Security: A Computational Intelligence Approach
    • S. Peddabachigaria, A. Abrahamb, C. Grosanc, and J. Thomas Modeling intrusion detection system using hybrid intelligent systems Journal of Network and Computer Applications 30 2007 114 132 (Pubitemid 44666486)
    • (2007) Journal of Network and Computer Applications , vol.30 , Issue.1 , pp. 114-132
    • Peddabachigari, S.1    Abraham, A.2    Grosan, C.3    Thomas, J.4
  • 19
    • 34250801472 scopus 로고    scopus 로고
    • A hybrid machine learning approach to network anomaly detection
    • DOI 10.1016/j.ins.2007.03.025, PII S0020025507001648
    • T. Shon, and J. Moon A hybrid machine learning approach to network anomaly detection Information Sciences 177 2007 3799 3821 (Pubitemid 46978336)
    • (2007) Information Sciences , vol.177 , Issue.18 , pp. 3799-3821
    • Shon, T.1    Moon, J.2
  • 20
    • 84943383590 scopus 로고    scopus 로고
    • Identifying important features for intrusion detection using support vector machines and neural networks
    • A.H. Sung, and S. Mukkamala Identifying important features for intrusion detection using support vector machines and neural networks Proc. SAINT 2003 209 217
    • (2003) Proc. SAINT , pp. 209-217
    • Sung, A.H.1    Mukkamala, S.2
  • 23
    • 0037375142 scopus 로고    scopus 로고
    • Feature selection on hierarchy of web documents
    • D. Mladenic, and M. Grobelnik Feature selection on hierarchy of web documents Decision Support Systems 35 2003 45 87
    • (2003) Decision Support Systems , vol.35 , pp. 45-87
    • Mladenic, D.1    Grobelnik, M.2
  • 24
    • 37649001659 scopus 로고    scopus 로고
    • An integrated algorithm for gene selection and classification applied to microarray data of ovarian cancer
    • Z.-J. Lee An integrated algorithm for gene selection and classification applied to microarray data of ovarian cancer International Journal Artificial Intelligence in Medicine 42 2008 81 93
    • (2008) International Journal Artificial Intelligence in Medicine , vol.42 , pp. 81-93
    • Lee, Z.-J.1
  • 25
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • C.J.C. Burgers A tutorial on support vector machines for pattern recognition Data Mining and Knowledge Discovery 2 1998 121 167
    • (1998) Data Mining and Knowledge Discovery , vol.2 , pp. 121-167
    • Burgers, C.J.C.1
  • 31
    • 0003945788 scopus 로고
    • Theory and practice of decision tree induction
    • H. Kim, and G.J. Koehler Theory and practice of decision tree induction Omega 23 1995 637 652
    • (1995) Omega , vol.23 , pp. 637-652
    • Kim, H.1    Koehler, G.J.2
  • 32
    • 33744584654 scopus 로고
    • Introduction of decision trees
    • J.R. Quinlan Introduction of decision trees Machine Learning 1 1986 81 106
    • (1986) Machine Learning , vol.1 , pp. 81-106
    • Quinlan, J.R.1
  • 34
    • 34047166331 scopus 로고    scopus 로고
    • Post-pruning in decision tree induction using multiple performance measures
    • K.M. Osei-Bryson Post-pruning in decision tree induction using multiple performance measures Computers and Operations Research 34 2007 3331 3345
    • (2007) Computers and Operations Research , vol.34 , pp. 3331-3345
    • Osei-Bryson, K.M.1
  • 36
    • 0038428854 scopus 로고    scopus 로고
    • Results of the KDD'99, Classifier Learning
    • C. Elkan Results of the KDD'99, Classifier Learning SIGKDD Explorations Newsletter 1 2 2000 63 64
    • (2000) SIGKDD Explorations Newsletter , vol.1 , Issue.2 , pp. 63-64
    • Elkan, C.1
  • 37
    • 4644256188 scopus 로고    scopus 로고
    • KDD Cup'99 Data Set
    • The UCI KDD Archive. KDD Cup'99 Data Set, http://kdd.ics.uci.edu/ databases/kddcup99/kddcup99.html.
    • The UCI KDD Archive
  • 40
    • 21144460138 scopus 로고
    • Metastrategy simulated annealing and tabu search algorithms for the vehicle routing problems
    • I.H. Osman Metastrategy simulated annealing and tabu search algorithms for the vehicle routing problems Annals of Operations Research 42 1993 421 451
    • (1993) Annals of Operations Research , vol.42 , pp. 421-451
    • Osman, I.H.1
  • 41
    • 1842555296 scopus 로고    scopus 로고
    • A neural network model with bounded-weights for pattern classification
    • DOI 10.1016/S0305-0548(03)00097-2, PII S0305054803000972
    • Y. Liao, S.C. Fang, and H.L.W. Nuttle A neural network model with bounded-weights for pattern classification Computers and Operations Research 31 2004 1411 1426 (Pubitemid 38427641)
    • (2004) Computers and Operations Research , vol.31 , Issue.9 , pp. 1411-1426
    • Liao, Y.1    Fang, S.-C.2    Nuttle, H.L.W.3
  • 42
    • 48749109333 scopus 로고    scopus 로고
    • Particle swarm optimization for parameter determination and feature selection of support vector machines
    • S.-W. Lin, K.-C. Ying, S.-C. Chen, and Z.-J. Lee Particle swarm optimization for parameter determination and feature selection of support vector machines Expert Systems with Applications 35 2008 1817 1824
    • (2008) Expert Systems with Applications , vol.35 , pp. 1817-1824
    • Lin, S.-W.1    Ying, K.-C.2    Chen, S.-C.3    Lee, Z.-J.4
  • 43
    • 50149095980 scopus 로고    scopus 로고
    • Parameter determination of support vector machines and feature selection using simulated annealing approach
    • S.-W. Lin, Z.-J. Lee, S.-C. Chen, and T.-Y. Tseng Parameter determination of support vector machines and feature selection using simulated annealing approach Applied Soft Computing 8 4 2008 1505 1512
    • (2008) Applied Soft Computing , vol.8 , Issue.4 , pp. 1505-1512
    • Lin, S.-W.1    Lee, Z.-J.2    Chen, S.-C.3    Tseng, T.-Y.4
  • 44
    • 0037275646 scopus 로고    scopus 로고
    • Efficiently solving general weapon-target assignment problem by genetic algorithms with greedy eugenics
    • Z.-J. Lee, S.-F. Su, and C.-Y. Lee Efficiently solving general weapon-target assignment problem by genetic algorithms with greedy eugenics IEEE Transactions on Systems, Man, and Cybernetics, Part B 33 1 2003 113 121
    • (2003) IEEE Transactions on Systems, Man, and Cybernetics, Part B , vol.33 , Issue.1 , pp. 113-121
    • Lee, Z.-J.1    Su, S.-F.2    Lee, C.-Y.3
  • 45
    • 56649112895 scopus 로고    scopus 로고
    • Applying hybrid meta-heuristics for capacitated vehicle routing problem
    • S.-W. Lin, Z.-J. Lee, K.-C. Ying, and C.-Y. Lee Applying hybrid meta-heuristics for capacitated vehicle routing problem Expert Systems with Applications 36 2 2009 1505 1512
    • (2009) Expert Systems with Applications , vol.36 , Issue.2 , pp. 1505-1512
    • Lin, S.-W.1    Lee, Z.-J.2    Ying, K.-C.3    Lee, C.-Y.4
  • 46
    • 36148950145 scopus 로고    scopus 로고
    • A simulated-annealing-based approach for simultaneous parameter optimization and feature selection of back-propagation networks
    • DOI 10.1016/j.eswa.2007.01.014, PII S0957417407000310
    • S.-W. Lin, T.-Y. Tseng, S.-Y. Chou, and S.-C. Chen A simulated-annealing based approach for simultaneous parameter optimization and feature selection of back-propagation networks Expert Systems with Applications 34 2 2008 1491 1499 (Pubitemid 350117515)
    • (2008) Expert Systems with Applications , vol.34 , Issue.2 , pp. 1491-1499
    • Lin, S.-W.1    Tseng, T.-Y.2    Chou, S.-Y.3    Chen, S.-C.4
  • 48
    • 18544377981 scopus 로고    scopus 로고
    • Support vector machines with simulated annealing algorithms in electricity load forecasting
    • DOI 10.1016/j.enconman.2005.02.004, PII S0196890405000506
    • P.-F. Pai, and W.-C. Hong Support vector machines with simulated annealing algorithms in electricity load forecasting Energy Conversion and Management 46 17 2005 2669 2688 (Pubitemid 40654933)
    • (2005) Energy Conversion and Management , vol.46 , Issue.17 , pp. 2669-2688
    • Pai, P.-F.1    Hong, W.-C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.