{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T11:30:56Z","timestamp":1773315056594,"version":"3.50.1"},"publisher-location":"Berlin, Heidelberg","reference-count":23,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783642405969","type":"print"},{"value":"9783642405976","type":"electronic"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-40597-6_21","type":"book-chapter","created":{"date-parts":[[2013,8,14]],"date-time":"2013-08-14T06:00:13Z","timestamp":1376460013000},"page":"240-248","source":"Crossref","is-referenced-by-count":50,"title":["Linear Correlation-Based Feature Selection for Network Intrusion Detection Model"],"prefix":"10.1007","author":[{"given":"Heba F.","family":"Eid","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aboul Ella","family":"Hassanien","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tai-hoon","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Soumya","family":"Banerjee","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"issue":"10","key":"21_CR1","doi-asserted-by":"publisher","first-page":"11994","DOI":"10.1016\/j.eswa.2009.05.029","volume":"36","author":"C. Tsai","year":"2009","unstructured":"Tsai, C., Hsu, Y., Lin, C., Lin, W.: Intrusion detection by machine learning: A review. Expert Systems with Applications\u00a036(10), 11994\u201312000 (2009)","journal-title":"Expert Systems with Applications"},{"issue":"8","key":"21_CR2","doi-asserted-by":"publisher","first-page":"805","DOI":"10.1016\/S1389-1286(98)00017-6","volume":"31","author":"H. Debar","year":"1999","unstructured":"Debar, H., Dacier, M., Wespi, A.: Towards a taxonomy of intrusion-detection systems. Computer Networks\u00a031(8), 805\u2013822 (1999)","journal-title":"Computer Networks"},{"key":"21_CR3","unstructured":"Kuchimanchi, G., Phoha, V., Balagani, K., Gaddam, S.: Dimension Reduction Using Feature Extraction Methods for Real-time Misuse Detection Systems. In: Proceedings of the Fifth Annual IEEE SMC Information Assurance Workshop, pp. 195\u2013202 (2004)"},{"issue":"1","key":"21_CR4","doi-asserted-by":"publisher","first-page":"424","DOI":"10.1016\/j.eswa.2011.07.032","volume":"39","author":"Y. Li","year":"2012","unstructured":"Li, Y., Xia, J., Zhang, S., Yan, J., Ai, X., Dai, K.: An efficient intrusion detection system based on support vector machines and gradually feature removal method. Expert Systems with Applications\u00a039(1), 424\u2013430 (2012)","journal-title":"Expert Systems with Applications"},{"issue":"4","key":"21_CR5","doi-asserted-by":"publisher","first-page":"1184","DOI":"10.1016\/j.jnca.2011.01.002","volume":"34","author":"F. Amiri","year":"2011","unstructured":"Amiri, F., Yousefi, M., Lucas, C., Shakery, A., Yazdani, N.: Mutual information-based feature selection for intrusion detection systems. Journal of Network and Computer Applications\u00a034(4), 1184\u20131199 (2011)","journal-title":"Journal of Network and Computer Applications"},{"key":"21_CR6","unstructured":"Dash, M., Choi, K., Scheuermann, P., Liu, H.: Feature selection for clustering-a filter solution. In: Proceedings of the Second International Conference on Data Mining, pp. 115\u2013122 (2002)"},{"key":"21_CR7","unstructured":"Koller, D., Sahami, M.: Toward optimal feature selection. In: Proceedings of the Thirteenth International Conference on Machine Learning, pp. 284\u2013292 (1996)"},{"issue":"9","key":"21_CR8","doi-asserted-by":"publisher","first-page":"2373","DOI":"10.1016\/j.patcog.2006.12.009","volume":"40","author":"C. Tsang","year":"2007","unstructured":"Tsang, C., Kwong, S., Wang, H.: Genetic-fuzzy rule mining approach and evaluation of feature selection techniques for anomaly intrusion detection. Pattern Recognition\u00a040(9), 2373\u20132391 (2007)","journal-title":"Pattern Recognition"},{"issue":"2","key":"21_CR9","first-page":"49","volume":"2","author":"A. Elngar","year":"2013","unstructured":"Elngar, A., Mohamed, D., Ghaleb, F.: A Real-Time Anomaly Network Intrusion Detection System with High Accuracy. Information Sciences Letters International Journal\u00a02(2), 49\u201356 (2013)","journal-title":"Information Sciences Letters International Journal"},{"issue":"1","key":"21_CR10","first-page":"1205","volume":"5","author":"L. Yu","year":"2004","unstructured":"Yu, L., Liu, H.: Efficient Feature Selection via Analysis of Relevance and Redundancy. Journal of Machine Learning Research\u00a05(1), 1205\u20131224 (2004)","journal-title":"Journal of Machine Learning Research"},{"key":"21_CR11","unstructured":"Yu, L., Liu, H.: Feature selection for high-dimensional data: a fast correlation-based filter solution. In: Proceedings of the Twentieth International Conference on Machine Learning, pp. 856\u2013863 (2003)"},{"key":"21_CR12","doi-asserted-by":"crossref","unstructured":"Kim, Y., Street, W., Menczer, F.: Feature selection for unsupervised learning via evolutionary search. In: Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 365\u2013369 (2000)","DOI":"10.1145\/347090.347169"},{"issue":"2","key":"21_CR13","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1016\/S0004-3702(97)00043-X","volume":"1","author":"R. Kohavi","year":"1997","unstructured":"Kohavi, R., John, G.H.: Wrappers for feature subset selection. Artificial Intelligence\u00a01(2), 273\u2013324 (1997)","journal-title":"Artificial Intelligence"},{"issue":"8","key":"21_CR14","doi-asserted-by":"publisher","first-page":"1226","DOI":"10.1109\/TPAMI.2005.159","volume":"27","author":"H. Peng","year":"2005","unstructured":"Peng, H., Long, F., Ding, C.: Feature selection based on mutual information criteria of max-dependency, max-relevance, and min redundancy. IEEE Transactions on Pattern Analysis and Machine Intelligence\u00a027(8), 1226\u20131238 (2005)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"21_CR15","series-title":"Lecture Notes in Bioinformatics","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1007\/11691730_11","volume-title":"Data Mining for Biomedical Applications","author":"X. Jin","year":"2006","unstructured":"Jin, X., Xu, A., Bie, R., Guo, P.: Machine learning techniques and chi-square feature selection for cancer classification using SAGE gene expression profiles. In: Li, J., Yang, Q., Tan, A.-H. (eds.) BioDM 2006. LNCS (LNBI), vol.\u00a03916, pp. 106\u2013115. Springer, Heidelberg (2006)"},{"key":"21_CR16","volume-title":"Handbook of Statistics II","author":"M. Ben-Bassat","year":"1982","unstructured":"Ben-Bassat, M.: Pattern recognition and reduction of dimensionality. In: Handbook of Statistics II, vol.\u00a01, North-Holland, Amsterdam (1982)"},{"key":"21_CR17","unstructured":"Holland, J.: Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor (1975)"},{"issue":"1","key":"21_CR18","first-page":"81","volume":"1","author":"J.R. Quinlan","year":"1986","unstructured":"Quinlan, J.R.: Induction of Decision Trees. Machine Learning\u00a01(1), 81\u2013106 (1986)","journal-title":"Machine Learning"},{"key":"21_CR19","doi-asserted-by":"crossref","unstructured":"Jemili, F., Zaghdoud, M., Ahmed, M.: Intrusion detection based on Hybrid propagation in Bayesian Networks. In: Proceedings of the IEEE International Conference on Intelligence and Security Informatics, pp. 137\u2013142 (2009)","DOI":"10.1109\/ISI.2009.5137285"},{"key":"21_CR20","volume-title":"Numerical recipes in C. The art of scientific computing","author":"W.H. Press","year":"1988","unstructured":"Press, W.H., Teukolsky, S.A., Vetterling, W.T., Flannery, B.P.: Numerical recipes in C. The art of scientific computing. Cambridge University Press, Cambridge (1988)"},{"key":"21_CR21","doi-asserted-by":"crossref","unstructured":"Tavallaee, M., Bagheri, E., Lu, W., Ghorbani, A.A.: A Detailed Analysis of the KDD CUP 99 Data Set. In: Proceeding of IEEE Symposium on Computational Intelligence in Security and Defense Application, CISDA (2009)","DOI":"10.1109\/CISDA.2009.5356528"},{"key":"21_CR22","unstructured":"KDD\u201999 dataset, Irvine, CA, USA (July 2010), \n                    \n                      http:\/\/kdd.ics.uci.edu\/databases"},{"key":"21_CR23","volume-title":"Pattern Classification","author":"R.O. Duda","year":"2001","unstructured":"Duda, R.O., Hart, P.E., Stork, P.E.: Pattern Classification, 2nd edn. JohnWiley & Sons, USA (2001)","edition":"2"}],"container-title":["Communications in Computer and Information Science","Advances in Security of Information and Communication Networks"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-40597-6_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,16]],"date-time":"2019-05-16T11:42:23Z","timestamp":1558006943000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-40597-6_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642405969","9783642405976"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-40597-6_21","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013]]}}}