{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T01:21:58Z","timestamp":1773796918933,"version":"3.50.1"},"reference-count":37,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2016,9,29]],"date-time":"2016-09-29T00:00:00Z","timestamp":1475107200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"National Natural Science Fund Project","award":["NO.61175123"],"award-info":[{"award-number":["NO.61175123"]}]},{"name":"Special Fund on Guangdong Province Chinese Academy of Sciences Comprehensive Strategic Cooperation","award":["NO.2013B091300019"],"award-info":[{"award-number":["NO.2013B091300019"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["World Wide Web"],"published-print":{"date-parts":[[2017,7]]},"DOI":"10.1007\/s11280-016-0418-9","type":"journal-article","created":{"date-parts":[[2016,9,29]],"date-time":"2016-09-29T05:32:54Z","timestamp":1475127174000},"page":"797-813","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":56,"title":["Two-stage ELM for phishing Web pages detection using hybrid features"],"prefix":"10.1007","volume":"20","author":[{"given":"Wei","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingshan","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lifei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengming","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,9,29]]},"reference":[{"issue":"10","key":"418_CR1","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1109\/MC.2009.306","volume":"42","author":"A Abbasi","year":"2009","unstructured":"Abbasi, A., Chen, H.: A comparison of tools for detecting fake Websites. Computer 42(10), 78\u201386 (2009)","journal-title":"Computer"},{"issue":"13","key":"418_CR2","doi-asserted-by":"crossref","first-page":"5948","DOI":"10.1016\/j.eswa.2014.03.019","volume":"41","author":"N Abdelhamid","year":"2014","unstructured":"Abdelhamid, N., Ayesh, A., Thabtah, F.: Phishing detection based associative classification data mining. Expert Syst. Appl. 41(13), 5948\u20135959 (2014)","journal-title":"Expert Syst. Appl."},{"issue":"3","key":"418_CR3","doi-asserted-by":"crossref","first-page":"706","DOI":"10.1016\/j.chb.2012.12.018","volume":"29","author":"NAG Arachchilage","year":"2013","unstructured":"Arachchilage, N.A.G., Love, S.: A game design framework for avoiding phishing attacks. Comput. Hum. Behav. 29(3), 706\u2013714 (2013)","journal-title":"Comput. Hum. Behav."},{"issue":"11","key":"418_CR4","doi-asserted-by":"crossref","first-page":"4697","DOI":"10.1016\/j.eswa.2013.02.009","volume":"40","author":"PA Barraclough","year":"2013","unstructured":"Barraclough, P.A., Hossain, M.A., Tahir, M.A., Sexton, G., Aslam, N.: Intelligent phishing detection and protection scheme for online transactions. Expert Syst. Appl. 40(11), 4697\u20134706 (2013)","journal-title":"Expert Syst. Appl."},{"key":"418_CR5","unstructured":"Cao, J.J., Kwong, S., Wang, R., Li, K.: A weighted voting method using minimum square error based on Extreme Learning Machine. In: Proceedings of International Conference on Machine Learning and Cybernetics, 1, 411\u2013414 (2012)"},{"issue":"1","key":"418_CR6","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1016\/j.ins.2011.09.015","volume":"185","author":"J Cao","year":"2012","unstructured":"Cao, J., Lin, Z., Huang, G. B., Liu, N.: Voting based extreme learning machine. Inf. Sci. 185(1), 66\u201377 (2012)","journal-title":"Inf. Sci."},{"issue":"1","key":"418_CR7","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1007\/s10462-013-9405-z","volume":"44","author":"S Ding","year":"2013","unstructured":"Ding, S., Zhao, H., Zhang, Y., Xu, X., Nie, R.: Extreme learning machine: algorithm, theory and application. Artif. Intell. Rev. 44(1), 103\u2013115 (2013)","journal-title":"Artif. Intell. Rev."},{"key":"418_CR8","doi-asserted-by":"crossref","unstructured":"Dunlop, M., Groat, S., Shelly, D.: GoldPhish: Using Images for Content-Based Phishing Analysis. In: Proceedings of International Conference on Internet Monitoring and Protection, 123-128, IEEE (2010)","DOI":"10.1109\/ICIMP.2010.24"},{"key":"418_CR9","doi-asserted-by":"crossref","unstructured":"Feroz, M.N., Mengel, S.: Examination of data, rule generation and detection of phishing URLs using online logistic regression. In: Proceddings of 2014 IEEE International Conference on Big Data, IEEE, 241-250 (2014)","DOI":"10.1109\/BigData.2014.7004239"},{"key":"418_CR10","unstructured":"Google Safe Browsing, https:\/\/developers.google.com\/safe-browsing\/?hl=zh-CN"},{"issue":"14","key":"418_CR11","first-page":"5553","volume":"9","author":"X Gu","year":"2013","unstructured":"Gu, X., Wang, H., Ni, T.: An Efficient Approach to Detecting Phishing Web. J. Comput. Inf. Syst. 9(14), 5553\u20135560 (2013)","journal-title":"J. Comput. Inf. Syst."},{"issue":"10","key":"418_CR12","doi-asserted-by":"crossref","first-page":"12018","DOI":"10.1016\/j.eswa.2011.01.046","volume":"38","author":"M He","year":"2011","unstructured":"He, M., Horng, S.J., Fan, P., Khan, M.K., Run, R.S., Lai, J.L., et al.: An efficient phishing Webpage detector. Expert Syst. Appl. 38(10), 12018\u201312027 (2011)","journal-title":"Expert Syst. Appl."},{"key":"418_CR13","doi-asserted-by":"crossref","unstructured":"Huang, G.B., Zhu, Q.Y., Siew, C.K.: Extreme learning machine: a new learning scheme of feedforward Neural Networks. In: Proceedings of IEEE International Joint Confrence on Neural Networks, 2, 985-990, IEEE (2004)","DOI":"10.1109\/IJCNN.2004.1380068"},{"issue":"1-3","key":"418_CR14","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1016\/j.neucom.2005.12.126","volume":"70","author":"GB Huang","year":"2006","unstructured":"Huang, G.B., Zhu, Q.Y., Siew, C.K.: Extreme learning machine: theory and applications. Neurocomputing 70(1-3), 489\u2013501 (2006)","journal-title":"Neurocomputing"},{"issue":"1-3","key":"418_CR15","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.neucom.2010.02.019","volume":"74","author":"GB Huang","year":"2010","unstructured":"Huang, G.B., Ding, X.J., Zhou, H.M.: Optimization method based extreme learning machine for classification. Neurocomputing 74(1-3), 155\u2013163 (2010)","journal-title":"Neurocomputing"},{"issue":"2","key":"418_CR16","doi-asserted-by":"crossref","first-page":"513","DOI":"10.1109\/TSMCB.2011.2168604","volume":"42","author":"GB Huang","year":"2012","unstructured":"Huang, G.B., Zhou, H.M., Ding, X.J., Zhang, R.: Extreme learning machine for regression and multiclass classification. IEEE Trans. Syst. Man Cybern. B Cybern. 42(2), 513\u2013529 (2012)","journal-title":"IEEE Trans. Syst. Man Cybern. B Cybern."},{"issue":"6","key":"418_CR17","doi-asserted-by":"crossref","first-page":"1375","DOI":"10.1007\/s11280-013-0250-4","volume":"17","author":"D Huang","year":"2014","unstructured":"Huang, D., Xu, K., Pei, J.: Malicious URL detection by dynamically mining patterns without pre-defined elements. World Wide Web 17(6), 1375\u20131394 (2014)","journal-title":"World Wide Web"},{"key":"418_CR18","unstructured":"ICTCLAS, http:\/\/ictclas.nlpir.org\/"},{"issue":"4","key":"418_CR19","doi-asserted-by":"crossref","first-page":"2091","DOI":"10.1109\/SURV.2013.032213.00009","volume":"15","author":"Y Iraqi","year":"2013","unstructured":"Iraqi, Y., Jones, A., Khonji, M.: Phishing detection: a literature survey. IEEE Commun. Surv. Tutorials 15(4), 2091\u20132121 (2013)","journal-title":"IEEE Commun. Surv. Tutorials"},{"key":"418_CR20","doi-asserted-by":"crossref","unstructured":"Kumaraguru, P., Sheng, S., Acquisti, A., Cranor, L. F., Hong, J.: Lessons from a real world evaluation of anti-phishing training. In: Proceedings of eCrime Researchers Summit, 1-12, IEEE (2008)","DOI":"10.1109\/ECRIME.2008.4696970"},{"issue":"2","key":"418_CR21","doi-asserted-by":"crossref","first-page":"890","DOI":"10.1145\/1754393.1754396","volume":"10","author":"P Kumaraguru","year":"2010","unstructured":"Kumaraguru, P., Sheng, S., Acquisti, A., Cranor, L. F., Hong, J.: Teaching johnny not to fall for phish. ACM Trans. Internet Technol. 10(2), 890\u2013895 (2010)","journal-title":"ACM Trans. Internet Technol."},{"issue":"1","key":"418_CR22","first-page":"86","volume":"42","author":"PJG Laencina","year":"2013","unstructured":"Laencina, P.J.G.: Improving predictions using linear combination of multiple extreme learning machines. Inf. Technol. Control 42(1), 86\u201393 (2013)","journal-title":"Inf. Technol. Control"},{"key":"418_CR23","doi-asserted-by":"crossref","first-page":"3391","DOI":"10.1016\/j.neucom.2009.02.013","volume":"72","author":"Y Lan","year":"2009","unstructured":"Lan, Y., Soh, Y.C., Huang, G.B.: Ensemble of online sequential extreme learning machine. Neurocomputing 72, 3391\u20133395 (2009)","journal-title":"Neurocomputing"},{"key":"418_CR24","doi-asserted-by":"crossref","unstructured":"Li, S., Schmitz, R.: A novel anti-phishing framework based on honeypots. In: Proceedings of eCrime Researchers Summit, 1-13, IEEE (2009)","DOI":"10.1109\/ECRIME.2009.5342609"},{"key":"418_CR25","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1016\/j.ijleo.2014.10.001","volume":"126","author":"Y Li","year":"2015","unstructured":"Li, Y., Chu, S., Xiao, R.: A pharming attack hybrid detection model based on IP addresses and Web content. Optik-Inter. J. Light and Electron Optics 126, 234\u2013239 (2015)","journal-title":"Optik-Inter. J. Light and Electron Optics"},{"issue":"8","key":"418_CR26","doi-asserted-by":"crossref","first-page":"754","DOI":"10.1109\/LSP.2010.2053356","volume":"7","author":"N Liu","year":"2010","unstructured":"Liu, N., Wang, H.: Ensemble based extreme learning machine. IEEE Signal Process Lett. 7(8), 754\u2013757 (2010)","journal-title":"IEEE Signal Process Lett."},{"key":"418_CR27","doi-asserted-by":"crossref","unstructured":"Ma, J., Saul, L.K., Savage, S., Voelker, G.M.: Beyond blacklists: learning to detect malicious Web sites from suspicious URLs. In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 1245-1254, ACM (2009)","DOI":"10.1145\/1557019.1557153"},{"issue":"1","key":"418_CR28","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1109\/TNN.2009.2036259","volume":"21","author":"Y Miche","year":"2010","unstructured":"Miche, Y., Sorjamaa, A., Bas, P., Jutten, C., Lendasse, A.: OP-ELM: optimally pruned extreme learning machine. IEEE Trans. Neural Netw. 21(1), 158\u201362 (2010)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"2","key":"418_CR29","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1007\/s00521-013-1490-z","volume":"25","author":"RM Mohammad","year":"2014","unstructured":"Mohammad, R.M., Thabtah, F., Mccluskey, L.: Predicting phishing Websites based on self-structuring Neural Network. Neural Comput. & Applic. 25(2), 443\u2013458 (2014)","journal-title":"Neural Comput. & Applic."},{"issue":"3","key":"418_CR30","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1080\/01449290410001669914","volume":"23","author":"FH Nah","year":"2003","unstructured":"Nah, F H.: A study on tolerable waiting time: how long are Web users willing to wait? Behav. Inform. Technol. 23(3), 153\u2013163 (2003)","journal-title":"Behav. Inform. Technol."},{"key":"418_CR31","unstructured":"Netcraft, http:\/\/www.netcraft.com\/anti-phishing"},{"key":"418_CR32","doi-asserted-by":"crossref","unstructured":"Ramanathan, V., Wechsler, H.: Phishing Website detection using Latent Dirichlet Allocation and AdaBoost. In: Proceedings of IEEE International Conference on Intelligence and Security Informatics, 102\u2013107 (2012)","DOI":"10.1109\/ISI.2012.6284100"},{"key":"418_CR33","unstructured":"Salton, G., McGill, M.: Introduction to modern information retrieval. McGraw-Hill (1983)"},{"issue":"2","key":"418_CR34","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/2019599.2019606","volume":"14","author":"G Xiang","year":"2011","unstructured":"Xiang, G., Hong, J., Rose, C.P., Cranor, L.: CANTINA+: a feature-rich machine learning framework for detecting phishing Web sites. ACM Trans. Inf. Syst. Secur. 14(2), 1\u201328 (2011)","journal-title":"ACM Trans. Inf. Syst. Secur."},{"key":"418_CR35","doi-asserted-by":"crossref","unstructured":"Yao, W., He, J., Wang, H., Zhang, Y., Cao, J.: Collaborative topic ranking: leveraging item meta-data for sparsity reduction. In: Proceedings of AAAI, 374-380 (2015)","DOI":"10.1609\/aaai.v29i1.9151"},{"issue":"10","key":"418_CR36","doi-asserted-by":"crossref","first-page":"1532","DOI":"10.1109\/TNN.2011.2161999","volume":"22","author":"H Zhang","year":"2011","unstructured":"Zhang, H., Liu, G., Chow, T.W.S., Liu, W.: Textual and visual content-based anti-phishing: a bayesian approach. IEEE Trans. Neural Netw. 22(10), 1532\u20131546 (2011)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"17","key":"418_CR37","first-page":"7267","volume":"8","author":"WW Zhuang","year":"2012","unstructured":"Zhuang, W.W., Jiang, Q.S.: Intelligent anti-phishing framework using multiple classifiers combination. J. Comput. Inf. Syst. 8(17), 7267\u20137281 (2012)","journal-title":"J. Comput. Inf. Syst."}],"container-title":["World Wide Web"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11280-016-0418-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11280-016-0418-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11280-016-0418-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,10]],"date-time":"2025-06-10T21:51:02Z","timestamp":1749592262000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11280-016-0418-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,9,29]]},"references-count":37,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2017,7]]}},"alternative-id":["418"],"URL":"https:\/\/doi.org\/10.1007\/s11280-016-0418-9","relation":{},"ISSN":["1386-145X","1573-1413"],"issn-type":[{"value":"1386-145X","type":"print"},{"value":"1573-1413","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,9,29]]}}}