{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T00:19:10Z","timestamp":1725495550057},"publisher-location":"Berlin, Heidelberg","reference-count":29,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540758662"},{"type":"electronic","value":"9783540758679"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2007]]},"DOI":"10.1007\/978-3-540-75867-9_41","type":"book-chapter","created":{"date-parts":[[2007,11,16]],"date-time":"2007-11-16T03:34:40Z","timestamp":1195184080000},"page":"321-328","source":"Crossref","is-referenced-by-count":1,"title":["An Integrated Approach to Filtering Phishing E-mails"],"prefix":"10.1007","author":[{"given":"M. Dolores","family":"del Castillo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"\u00c1ngel","family":"Iglesias","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J. Ignacio","family":"Serrano","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"41_CR1","unstructured":"Androutsopoulos, I., Paliouras, G., Karkaletsis, G., Sakkis, G., Spyropoulos, C., Stamatopoulos, P.: Learning to filter spam e-mail: A comparison of a naive bayesian and a memory-based approach. In: Workshop on Machine Learning and Textual Information Access. 4th European Conference on Principles and Practice of Knowledge Discovery in Databases (2000)"},{"key":"41_CR2","unstructured":"Cohen, W.: Learning rules that classify e-mail. In: AAAI Spring Symposium on Machine Learning in Information Access (1996)"},{"key":"41_CR3","unstructured":"Cunningham, P., Nowlan, N., Delany, S.J., Haahr, M.: A Case-Based Approach to Spam Filtering that Can Track Concept Drift. Technical Report at Trinity College, TCD-CS-2003-16, Dublin (2003)"},{"key":"41_CR4","unstructured":"Daelemans, W., Zavrel, J., van der Sloot, K., van den Bosch, A.: TiMBL: Tilburg Memory-Based Learner - version 4.0 Reference Guide (2001)"},{"key":"41_CR5","doi-asserted-by":"crossref","unstructured":"Drucker, H., Wu, D., Vapnik, V.N.: Support Vector Machines for Spam Categorization. IEEE Transactions on Neural Networks\u00a010(5) (1999)","DOI":"10.1109\/72.788645"},{"key":"41_CR6","unstructured":"GeoTrust TrustWatch, \n                    \n                      http:\/\/www.trustwatch.com\/"},{"key":"41_CR7","unstructured":"GoDaddy, \n                    \n                      http:\/\/www.godaddy.com\/"},{"key":"41_CR8","unstructured":"Graham, P.: Better Bayesian Filtering. In: Proc. of Spam Conference 2003, MIT Media Lab, Cambridge (2003)"},{"key":"41_CR9","unstructured":"June Phishing Activity Trends Report (2006), \n                    \n                      http:\/\/www.antiphishing.org"},{"key":"41_CR10","unstructured":"McAffee SpamKiller, \n                    \n                      http:\/\/www.spamkiller.com"},{"key":"41_CR11","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1007\/978-3-662-12405-5","volume-title":"Machine Learning: An Artificial Intelligence Approach","author":"R.S. Michalsky","year":"1983","unstructured":"Michalsky, R.S.: A theory and methodology of inductive learning. In: Michalsky, R.S., Carbonell, J.G., Mitchell, T.M. (eds.) Machine Learning: An Artificial Intelligence Approach, pp. 83\u2013134. Springer, Heidelberg (1983)"},{"key":"41_CR12","volume-title":"Machine Learning","author":"T.M. Mitchell","year":"1997","unstructured":"Mitchell, T.M.: Machine Learning. McGraw-Hill, New York (1997)"},{"key":"41_CR13","unstructured":"Monkey.Org Inc., \n                    \n                      http:\/\/www.monkey.org\/~jose\/wiki\/doku.php"},{"key":"41_CR14","unstructured":"Netcraft, \n                    \n                      http:\/\/news.netcraft.com\/"},{"key":"41_CR15","unstructured":"Pyzor, \n                    \n                      http:\/\/pyzor.sourceforge.net"},{"key":"41_CR16","unstructured":"Randazzese, V.A.: ChoiceMail Eases Antispam Software Use While Effectively Fighting Off Unwanted E-mail Traffic. CRN (2004)"},{"key":"41_CR17","unstructured":"Rulot, H.: ECGI. Un algoritmo de Inferencia Gramatical mediante Correcci\u00f3n de Errores. Phd Thesis, Facultad de Ciencias F\u00edsicas, Universidad de Valencia (1992)."},{"issue":"1","key":"41_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/505282.505283","volume":"34","author":"F. Sebastiani","year":"2002","unstructured":"Sebastiani, F.: Machine Learning in Automated Text Categorization. ACM Computing Surveys\u00a034(1), 1\u201347 (2002)","journal-title":"ACM Computing Surveys"},{"key":"41_CR19","unstructured":"Sergeant, M.: Internet-Level Spam Detection and SpamAssassin 2.50. In: Proceedings of Spam Conference 2003, MIT Media Lab. Cambridge (2003), \n                    \n                      http:\/\/spamassassin.org"},{"key":"41_CR20","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1007\/s10791-006-9012-6","volume":"10","author":"J.I. Serrano","year":"2007","unstructured":"Serrano, J.I., Castillo, M.D.: Evolutionary Learning of Document Categories. Journal of Information Retrieval\u00a010, 69\u201383 (2007)","journal-title":"Journal of Information Retrieval"},{"key":"41_CR21","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1007\/11552253_36","volume-title":"Advances in Intelligent Data Analysis VI","author":"J.I. Serrano","year":"2005","unstructured":"Serrano, J.I., Araujo, L.: Statistical Recognition of Noun Phrases in Unrestricted Text. In: Famili, A.F., Kok, J.N., Pe\u00f1a, J.M., Siebes, A., Feelders, A. (eds.) IDA 2005. LNCS, vol.\u00a03646, pp. 397\u2013408. Springer, Heidelberg (2005)"},{"key":"41_CR22","unstructured":"Spoofstick, \n                    \n                      http:\/\/www.spoofstick.com\/"},{"key":"41_CR23","unstructured":"SpamAssassin, \n                    \n                      http:\/\/spamassassin.apache.org\/publiccorpus\/"},{"key":"41_CR24","unstructured":"Suckers for spam (2005), \n                    \n                      http:\/\/www.Internetnews.com"},{"key":"41_CR25","unstructured":"Tagged Message Delivery Agent Homepage, \n                    \n                      http:\/\/tmda.net"},{"key":"41_CR26","unstructured":"Understanding Phishing and Pharming. White Paper (2006), \n                    \n                      http:\/\/www.mcafee.com\/"},{"key":"41_CR27","unstructured":"Vinther, M.: Junk Detection using neural networks. MeeSoft Technical Report (2002), \n                    \n                      http:\/\/logicnet.dk\/reports\/JunkDetection\/JunkDetection.htm"},{"key":"41_CR28","unstructured":"Razor, V.: \n                    \n                      http:\/\/razor.sourceforge.net"},{"key":"41_CR29","unstructured":"3Sharp LLC, Gone Phishing: Evaluating Anti-Phishing Tools for Windows, Robichaux P., Ganger, D.L., \n                    \n                      http:\/\/3sharp.com"}],"container-title":["Lecture Notes in Computer Science","Computer Aided Systems Theory \u2013 EUROCAST 2007"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-75867-9_41","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,2,25]],"date-time":"2019-02-25T15:42:46Z","timestamp":1551109366000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-75867-9_41"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007]]},"ISBN":["9783540758662","9783540758679"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-75867-9_41","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2007]]}}}