{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T21:35:23Z","timestamp":1784237723181,"version":"3.55.0"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319458229","type":"print"},{"value":"9783319458236","type":"electronic"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-45823-6_67","type":"book-chapter","created":{"date-parts":[[2016,8,30]],"date-time":"2016-08-30T09:26:31Z","timestamp":1472549191000},"page":"717-726","source":"Crossref","is-referenced-by-count":64,"title":["A Hybrid Autoencoder and Density Estimation Model for Anomaly Detection"],"prefix":"10.1007","author":[{"given":"Van Loi","family":"Cao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miguel","family":"Nicolau","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"James","family":"McDermott","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2016,8,31]]},"reference":[{"key":"67_CR1","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4614-6396-2","volume-title":"Outlier Analysis","author":"CC Aggarwal","year":"2013","unstructured":"Aggarwal, C.C.: Outlier Analysis. Springer Science & Business Media, Berlin (2013)"},{"key":"67_CR2","series-title":"Lecture Notes in Computer Science","first-page":"3","volume-title":"Genetic Programming","author":"VL Cao","year":"2016","unstructured":"Cao, V.L., Nicolau, M., McDermott, J.: One-class classification for anomaly detectionwith kernel density estimation and genetic programming. In: Heywood, M.I., McDermott, J., Castelli, M., Costa, E., Sim, K. (eds.) EuroGP 2016. LNCS, vol. 9594, pp. 3\u201318. Springer, Berlin (2016)"},{"issue":"3","key":"67_CR3","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1145\/1541880.1541882","volume":"41","author":"V Chandola","year":"2009","unstructured":"Chandola, V., Banerjee, A., Kumar, V.: Anomaly detection: a survey. ACM Comput. Surv. (CSUR) 41(3), 15 (2009)","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"67_CR4","doi-asserted-by":"crossref","unstructured":"Curry, R., Heywood, M.: One-class learning with multi-objective genetic programming. In: IEEE International Conference on Systems, Man and Cybernetics, ISIC, pp. 1938\u20131945. IEEE (2007)","DOI":"10.1109\/ICSMC.2007.4413999"},{"key":"67_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/978-3-642-01181-8_1","volume-title":"Genetic Programming","author":"R Curry","year":"2009","unstructured":"Curry, R., Heywood, M.I.: One-class genetic programming. In: Vanneschi, L., Gustafson, S., Moraglio, A., De Falco, I., Ebner, M. (eds.) EuroGP 2009. LNCS, vol. 5481, pp. 1\u201312. Springer, Heidelberg (2009)"},{"key":"67_CR6","first-page":"2121","volume":"12","author":"J Duchi","year":"2011","unstructured":"Duchi, J., Hazan, E., Singer, Y.: Adaptive subgradient methods for online learning and stochastic optimization. J. Mach. Learn. Res. 12, 2121\u20132159 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"67_CR7","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/j.patcog.2016.03.028","volume":"58","author":"SM Erfani","year":"2016","unstructured":"Erfani, S.M., Rajasegarar, S., Karunasekera, S., Leckie, C.: High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning. Pattern Recogn. 58, 121\u2013134 (2016)","journal-title":"Pattern Recogn."},{"key":"67_CR8","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.neucom.2012.11.050","volume":"122","author":"U Fiore","year":"2013","unstructured":"Fiore, U., Palmieri, F., Castiglione, A., De Santis, A.: Network anomaly detection with the restricted Boltzmann machine. Neurocomputing 122, 13\u201323 (2013)","journal-title":"Neurocomputing"},{"key":"67_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1007\/3-540-46145-0_17","volume-title":"Data Warehousing and Knowledge Discovery","author":"S Hawkins","year":"2002","unstructured":"Hawkins, S., He, H., Williams, G.J., Baxter, R.A.: Outlier detection using replicator neural networks. In: Kambayashi, Y., Winiwarter, W., Arikawa, M. (eds.) DaWaK 2002. LNCS, vol. 2454, pp. 170\u2013180. Springer, Heidelberg (2002)"},{"issue":"5786","key":"67_CR10","doi-asserted-by":"crossref","first-page":"504","DOI":"10.1126\/science.1127647","volume":"313","author":"GE Hinton","year":"2006","unstructured":"Hinton, G.E., Salakhutdinov, R.R.: Reducing the dimensionality of data with neural networks. Science 313(5786), 504\u2013507 (2006)","journal-title":"Science"},{"key":"67_CR11","unstructured":"Japkowicz, N., Myers, C., Gluck, M., et al.: A novelty detection approach to classification. In: IJCAI, pp. 518\u2013523 (1995)"},{"key":"67_CR12","unstructured":"KDD Cup Dataset (1999). http:\/\/kdd.ics.uci.edu\/databases\/kddcup99\/kddcup99.html"},{"key":"67_CR13","unstructured":"Lee, W., Stolfo, S.J., Mok, K.W.: A data mining framework for building intrusion detection models. In: Proceedings of the 1999 IEEE Symposium on Security and Privacy, pp. 120\u2013132. IEEE (1999)"},{"key":"67_CR14","unstructured":"Lichman, M.: UCI Machine Learning Repository (2013). http:\/\/archive.ics.uci.edu\/ml"},{"key":"67_CR15","unstructured":"Moya, M.M., Koch, M.W., Hostetler, L.D.: One-class classifier networks for target recognition applications. Technical report, Sandia National Labs., Albuquerque, NM (United States) (1993)"},{"key":"67_CR16","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., Duchesnay, E.: Scikit-learn: machine learning in Python. J. Mach. Learn. Res. 12, 2825\u20132830 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"67_CR17","doi-asserted-by":"crossref","unstructured":"Sakurada, M., Yairi, T.: Anomaly detection using autoencoders with nonlinear dimensionality reduction. In: Proceedings of MLSDA 2014 2nd Workshop on Machine Learning for Sensory Data Analysis, p. 4. ACM (2014)","DOI":"10.1145\/2689746.2689747"},{"issue":"7","key":"67_CR18","doi-asserted-by":"crossref","first-page":"1443","DOI":"10.1162\/089976601750264965","volume":"13","author":"B Sch\u00f6lkopf","year":"2001","unstructured":"Sch\u00f6lkopf, B., Platt, J.C., Shawe-Taylor, J., Smola, A.J., Williamson, R.C.: Estimating the support of a high-dimensional distribution. Neural Comput. 13(7), 1443\u20131471 (2001)","journal-title":"Neural Comput."},{"issue":"4","key":"67_CR19","doi-asserted-by":"crossref","first-page":"549","DOI":"10.1007\/s10044-011-0255-5","volume":"16","author":"K Shafi","year":"2013","unstructured":"Shafi, K., Abbass, H.A.: Evaluation of an adaptive genetic-based signature extraction system for network intrusion detection. Pattern Anal. Appl. 16(4), 549\u2013566 (2013)","journal-title":"Pattern Anal. Appl."},{"key":"67_CR20","unstructured":"Tavallaee, M., Bagheri, E., Lu, W., Ghorbani, A.A.: NSL-KDD Dataset (2009). http:\/\/www.unb.ca\/research\/iscx\/dataset\/iscx-NSL-KDD-dataset.html"},{"key":"67_CR21","doi-asserted-by":"crossref","unstructured":"To, C., Elati, M.: A parallel genetic programming for single class classification. In: Proceedings of 15th Annual Conference Companion on Genetic and Evolutionary Computation, pp. 1579\u20131586. ACM (2013)","DOI":"10.1145\/2464576.2466811"},{"key":"67_CR22","doi-asserted-by":"crossref","unstructured":"Veeramachaneni, K., Arnaldo, I., Cuesta-Infante, A., Korrapati, V., Bassias, C., Li, K.: $$AI^2$$ : training a big data machine to defend. In: International Conference on Big Data Security. IEEE, New York (2016)","DOI":"10.1109\/BigDataSecurity-HPSC-IDS.2016.79"}],"container-title":["Lecture Notes in Computer Science","Parallel Problem Solving from Nature \u2013 PPSN XIV"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-45823-6_67","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,24]],"date-time":"2017-06-24T17:38:54Z","timestamp":1498325934000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-45823-6_67"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319458229","9783319458236"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-45823-6_67","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]}}}