{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,15]],"date-time":"2026-02-15T20:44:44Z","timestamp":1771188284002,"version":"3.50.1"},"publisher-location":"Berlin, Heidelberg","reference-count":36,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783540496083","type":"print"},{"value":"9783540496106","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006]]},"DOI":"10.1007\/11937807_13","type":"book-chapter","created":{"date-parts":[[2006,11,8]],"date-time":"2006-11-08T13:56:48Z","timestamp":1162994208000},"page":"153-167","source":"Crossref","is-referenced-by-count":77,"title":["Survey and Taxonomy of Feature Selection Algorithms in Intrusion Detection System"],"prefix":"10.1007","author":[{"given":"You","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xue-Qi","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"13_CR1","doi-asserted-by":"crossref","unstructured":"Kruegel, C., Valeur, F.: Stateful Intrusion Detection for High-Speed Networks. In: Proc. of the IEEE Symposium on Research on Security and Privacy, pp. 285\u2013293 (2002)","DOI":"10.1109\/SECPRI.2002.1004378"},{"key":"13_CR2","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1016\/S0004-3702(97)00063-5","volume":"97","author":"A.L. Blum","year":"1997","unstructured":"Blum, A.L., Langley, P.: Selection of Relevant Features and Examples in Machine Learning. Artificial Intelligence\u00a097, 245\u2013271 (1997)","journal-title":"Artificial Intelligence"},{"key":"13_CR3","doi-asserted-by":"crossref","unstructured":"Liu, H., Motoda, H. (eds.): Feature Extraction, Construction and Selection: A Data Mining Perspective. Kluwer Academic, Boston (1998) (second printing, 2001)","DOI":"10.1007\/978-1-4615-5725-8"},{"key":"13_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1007\/3-540-45571-X_12","volume-title":"Knowledge Discovery and Data Mining. Current Issues and New Applications","author":"M. Dash","year":"2000","unstructured":"Dash, M., Liu, H., Motoda, H.: Consistency based feature selection. In: Terano, T., Chen, A.L.P. (eds.) PAKDD 2000. LNCS, vol.\u00a01805, pp. 98\u2013109. Springer, Heidelberg (2000)"},{"issue":"1-2","key":"13_CR5","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1016\/0004-3702(94)90084-1","volume":"69","author":"H. Almuallim","year":"1994","unstructured":"Almuallim, H., Dietterich, T.G.: Learning Boolean Concepts in the Presence of Many Irrelevant Features. Artificial Intelligence\u00a069(1-2), 279\u2013305 (1994)","journal-title":"Artificial Intelligence"},{"key":"13_CR6","unstructured":"Doak, J.: An Evaluation of Feature Selection Methods and Their Application to Computer Security. Technical report, Univ. of California at Davis, Dept. Computer Science (1992)"},{"issue":"9","key":"13_CR7","doi-asserted-by":"publisher","first-page":"917","DOI":"10.1109\/TC.1977.1674939","volume":"26","author":"P.M. Narendra","year":"1977","unstructured":"Narendra, P.M., Fukunaga, K.: A Branch and Bound Algorithm for Feature Subset Selection. IEEE Trans. Computer\u00a026(9), 917\u2013922 (1977)","journal-title":"IEEE Trans. Computer"},{"key":"13_CR8","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4615-5689-3","volume-title":"Feature Selection for Knowledge Discovery and Data Mining","author":"H. Liu","year":"1998","unstructured":"Liu, H., Motoda, H.: Feature Selection for Knowledge Discovery and Data Mining. Kluwer Academic, Boston (1998)"},{"issue":"1-2","key":"13_CR9","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1016\/0004-3702(94)90084-1","volume":"69","author":"H. Almuallim","year":"1994","unstructured":"Almuallim, H., Dietterich, T.G.: Learning Boolean Concepts in the Presence of Many Irrelevant Features. Artificial Intelligence\u00a069(1-2), 279\u2013305 (1994)","journal-title":"Artificial Intelligence"},{"key":"13_CR10","first-page":"773","volume-title":"Handbook of Statistics-II","author":"M. Ben-Bassat","year":"1982","unstructured":"Ben-Bassat, M.: Pattern Recognition and Reduction of Dimensionality. In: Krishnaiah, P.R., Kanal, L.N. (eds.) Handbook of Statistics-II, pp. 773\u2013791. North Holland, Amsterdam (1982)"},{"key":"13_CR11","unstructured":"Hall, M.A.: Correlation-Based Feature Selection for Discrete and Numeric Class Machine Learning. In: Proc. 17th Int\u2019l. Conf. Machine Learning, pp. 359\u2013366 (2000)"},{"key":"13_CR12","volume-title":"Data Mining-Pracitcal Machine Learning Tools and Techniques with JAVA Implementations","author":"I.H. Witten","year":"2000","unstructured":"Witten, I.H., Frank, E.: Data Mining-Pracitcal Machine Learning Tools and Techniques with JAVA Implementations. Morgan Kaufmann, San Francisco (2000)"},{"key":"13_CR13","first-page":"359","volume-title":"Proc. of the 17th Int. Conf. on Machine Learning","author":"M.A. Hall","year":"2000","unstructured":"Hall, M.A.: Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning. In: Proc. of the 17th Int. Conf. on Machine Learning, pp. 359\u2013366. Morgan Kaufmann Publishers Inc., San Francisco (2000)"},{"key":"13_CR14","first-page":"1022","volume-title":"Proc. of the 13th Int. Join Conf. on Artificial Intelligence","author":"U. Fayyad","year":"1993","unstructured":"Fayyad, U., Irani, K.: Multi-interval discretization of continuos attributes as preprocessing for classification learning. In: Proc. of the 13th Int. Join Conf. on Artificial Intelligence, pp. 1022\u20131027. Morgan Kaufmann Publishers, San Francisco (1993)"},{"key":"13_CR15","volume-title":"Numerical recipes in C","author":"W.H. Press","year":"1988","unstructured":"Press, W.H., Flannery, B.P., Teukolsky, S.A., Vetterling, W.T.: Numerical recipes in C. Cambridge University Press, Cambridge (1988)"},{"key":"13_CR16","unstructured":"http:\/\/www.cs.waikato.ac.nz\/ml\/weka\/index.html"},{"key":"13_CR17","doi-asserted-by":"crossref","unstructured":"Holland, J.H.: Adaptation in natural and artificial systems. University of Michigan Press (1975) (reprinted by MIT Press, Cambridge (1992))","DOI":"10.7551\/mitpress\/1090.001.0001"},{"key":"13_CR18","volume-title":"Adaptation in Natural and Artificial Systems","author":"J.H. Holland","year":"1975","unstructured":"Holland, J.H.: Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor (1975)"},{"key":"13_CR19","first-page":"356","volume-title":"Applied Multivariate Statistical Analysis","author":"R.A. Johnson","year":"2002","unstructured":"Johnson, R.A., Wichern, D.W.: Applied Multivariate Statistical Analysis, pp. 356\u2013395. Prentice-Hall, Englewood Cliffs (2002)"},{"key":"13_CR20","doi-asserted-by":"publisher","first-page":"417","DOI":"10.1037\/h0071325","volume":"24","author":"H. Hotelling","year":"1933","unstructured":"Hotelling, H.: Analysis of a complex statistical variables into principal components. Journal of Educational Psychology\u00a024, 417\u2013441 (1933)","journal-title":"Journal of Educational Psychology"},{"key":"13_CR21","volume-title":"C4.5: Programs for machine learning","author":"J.R. Quinlan","year":"1993","unstructured":"Quinlan, J.R.: C4.5: Programs for machine learning. Morgan Kaufmann Publishers, San Francisco (1993)"},{"key":"13_CR22","unstructured":"Mukkamala, S., Sung, A.H.: Comparison of Neural Networks and Support Vector Machines. In: Intrusion Detection Workshop on Statistical and Machine Learning Techniques in Computer Intrusion Detection, June 11-13 (2002)"},{"key":"13_CR23","doi-asserted-by":"crossref","unstructured":"Sung, A.H.: Ranking Importance of Input Parameters Of Neural Networks. Expert Systems with Applications, pp. 405\u2013411 (1998)","DOI":"10.1016\/S0957-4174(98)00041-4"},{"key":"13_CR24","unstructured":"KDD Cup 1999 Data: http:\/\/kdd.ics.uci.edu\/databases\/kddcup99\/kddcup99.html"},{"key":"13_CR25","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"186","DOI":"10.1007\/3-540-45665-1_15","volume-title":"Pattern Recognition with Support Vector Machines","author":"M. Fugate","year":"2002","unstructured":"Fugate, M., Gattiker, J.R.: Anomaly Detection Enhanced Classification in Computer Intrusion Detection. In: Lee, S.-W., Verri, A. (eds.) SVM 2002. LNCS, vol.\u00a02388, p. 186. Springer, Heidelberg (2002)"},{"key":"13_CR26","unstructured":"Nguyen, B.V.: An Application of Support Vector Machines to Anomaly Detection (2002), Available at: http:\/\/www.math.ohiou.edu\/~vnguyen\/papers\/IDS_SVM.pdf"},{"key":"13_CR27","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"747","DOI":"10.1007\/978-3-540-45235-5_73","volume-title":"Information Networking","author":"D.S. Kim","year":"2003","unstructured":"Kim, D.S., Park, J.S.: Network-based Intrusion Detection with Support Vector Machines. In: Kahng, H.-K. (ed.) ICOIN 2003. LNCS, vol.\u00a02662, pp. 747\u2013756. Springer, Heidelberg (2003)"},{"key":"13_CR28","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1109\/SAINT.2003.1183050","volume-title":"Proc. of the 2003 Int. Sym. On Applications and the Internet Technology","author":"A.H. Sung","year":"2003","unstructured":"Sung, A.H., Mukkamala, S.: Identifying Important Features for Intrusion Detection Using Support Vector Machines and Neural Networks. In: Proc. of the 2003 Int. Sym. On Applications and the Internet Technology, pp. 209\u2013216. IEEE Computer Society Press, Los Alamitos (2003)"},{"key":"13_CR29","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1007\/11760191_33","volume-title":"Advances in Neural Networks - ISNN 2006","author":"D.S. Kim","year":"2006","unstructured":"Kim, D.S., Lee, S.M., Park, J.S.: Building Lightweight Intrusion Detection System Based on Random Forest. In: Wang, J., Yi, Z., \u017burada, J.M., Lu, B.-L., Yin, H. (eds.) ISNN 2006. LNCS, vol.\u00a03973, pp. 224\u2013230. Springer, Heidelberg (2006)"},{"issue":"1","key":"13_CR30","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L. Breiman","year":"2001","unstructured":"Breiman, L.: Random forest. Machine Learning\u00a045(1), 5\u201332 (2001)","journal-title":"Machine Learning"},{"key":"13_CR31","volume-title":"Pattern Classification","author":"R.O. Duda","year":"2001","unstructured":"Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification, 2nd edn. John Wiley & Sons, Chichester (2001)","edition":"2"},{"key":"13_CR32","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1007\/11427469_67","volume-title":"Advances in Neural Networks \u2013 ISNN 2005","author":"D. Kim","year":"2005","unstructured":"Kim, D., Nguyen, H.-N., Ohn, S.-Y., Park, J.: Fusions of GA and SVM for Anomaly Detection in Intrusion Detection System. In: Wang, J., Liao, X.-F., Yi, Z. (eds.) ISNN 2005. LNCS, vol.\u00a03498, pp. 415\u2013420. Springer, Heidelberg (2005)"},{"key":"13_CR33","unstructured":"Hastie, T., Tibshirani, R., Friedman, J.: The Elements of Statistical Learning. In: Yu, L., Liu, H. (eds.) Feature Selection for High-Dimensional Data. Springer, Heidelberg (2001)"},{"key":"13_CR34","unstructured":"A Fast Correlation-Based Filter Solution. In: Proc. 20th Int\u2019l. Conf. Machine Learning, pp. 856\u2013863 (2003)"},{"issue":"3","key":"13_CR35","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TKDE.2005.41","volume":"17","author":"H. Liu","year":"2005","unstructured":"Liu, H., Yu, L.: Towards integrating feature selection algorithms for classification and clustering. IEEE Transactions on Knowledge and Data Engineering\u00a017(3), 1\u201312 (2005)","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"13_CR36","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1007\/11599548_24","volume-title":"Information Security and Cryptology","author":"J.S. Park","year":"2005","unstructured":"Park, J.S., Shazzad, K.M., Kim, D.S.: Toward Modeling Lightweight Intrusion Detection System Through Correlation-Based Hybrid Feature Selection. In: Feng, D., Lin, D., Yung, M. (eds.) CISC 2005. LNCS, vol.\u00a03822, pp. 279\u2013289. Springer, Heidelberg (2005)"}],"container-title":["Lecture Notes in Computer Science","Information Security and Cryptology"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11937807_13.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,11]],"date-time":"2025-01-11T22:30:32Z","timestamp":1736634632000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11937807_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006]]},"ISBN":["9783540496083","9783540496106"],"references-count":36,"URL":"https:\/\/doi.org\/10.1007\/11937807_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2006]]}}}