{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T17:57:42Z","timestamp":1778608662979,"version":"3.51.4"},"reference-count":49,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2019,6,5]],"date-time":"2019-06-05T00:00:00Z","timestamp":1559692800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,6,5]],"date-time":"2019-06-05T00:00:00Z","timestamp":1559692800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Supercomput"],"published-print":{"date-parts":[[2020,2]]},"DOI":"10.1007\/s11227-019-02913-7","type":"journal-article","created":{"date-parts":[[2019,6,5]],"date-time":"2019-06-05T12:02:48Z","timestamp":1559736168000},"page":"756-776","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":35,"title":["Spam e-mail classification for the Internet of Things environment using semantic similarity approach"],"prefix":"10.1007","volume":"76","author":[{"given":"S.","family":"Venkatraman","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"B.","family":"Surendiran","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"P.","family":"Arun Raj Kumar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,6,5]]},"reference":[{"key":"2913_CR1","unstructured":"The History of Spam. Switzerland (2014). https:\/\/www.internetsociety.org\/sites\/default\/files\/HistoryofSpam.pdf"},{"key":"2913_CR2","unstructured":"Robertson J. E-mail spam goes artisanal. http:\/\/www.bloomberg.com\/news\/articles\/2016-01-19\/E-mail-spam-goes-artisanal"},{"key":"2913_CR3","doi-asserted-by":"crossref","unstructured":"Siponen M, Stucke C (2006) Effective anti-spam strategies in companies: an international study. In: Proceedings of HICSS\u201906, vol 6","DOI":"10.1109\/HICSS.2006.140"},{"key":"2913_CR4","unstructured":"Bueti MC (2005) ITU survey on Anti_Spam Legistation Worldwide. WSIS Thematic Meeting on Cybersecurity, Document CYB\/06, Geneva"},{"key":"2913_CR5","unstructured":"Swindle O (2003) Statement before the House Subcommittee on Commerce, et all. Federal Trade Commission. June 11, 2003"},{"key":"2913_CR6","unstructured":"Kaspersky Lab reports significant increase in malicious spam e-mails in Q1 2016. http:\/\/usa.kaspersky.com\/about-us\/press-center\/press-releases\/2016\/Kaspersky-Lab-Reports-Significant-Increase-in-Malicious-Spam-E-mails-in-Q1-2016"},{"key":"2913_CR7","doi-asserted-by":"publisher","first-page":"88","DOI":"10.1016\/j.neucom.2011.09.036","volume":"92","author":"CH Li","year":"2012","unstructured":"Li CH, Huang JX (2012) Spam filtering using semantic similarity approach and adaptive BPNN. Neurocomputing 92:88\u201397","journal-title":"Neurocomputing"},{"key":"2913_CR8","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1016\/j.knosys.2013.09.012","volume":"54","author":"JA Nasir","year":"2013","unstructured":"Nasir JA, Varlamis I, Karim A, Tsatsaronis G (2013) Semantic smoothing for text clustering. Knowl-Based Syst 54:216\u2013229","journal-title":"Knowl-Based Syst"},{"key":"2913_CR9","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1007\/s10462-010-9166-x","volume":"34","author":"O Amayri","year":"2010","unstructured":"Amayri O, Bouguila N (2010) A study of spam filtering using support vector machines. Artif Intell Rev 34:73\u2013108","journal-title":"Artif Intell Rev"},{"key":"2913_CR10","unstructured":"Metsis V, Androutsopoulos I, Paliouras G (2006) Spam filtering with naive bayes\u2014which naive bayes? In: Third Conference on E-Mail and Anti-Spam (CEAS)"},{"issue":"1","key":"2913_CR11","doi-asserted-by":"publisher","first-page":"39","DOI":"10.5120\/1974-2646","volume":"16","author":"WA Awad","year":"2011","unstructured":"Awad WA, Elseuofi SM (2011) Machine Learning methods for E-mail classification. Int J Comput Appl 16(1):39\u201345. https:\/\/doi.org\/10.5120\/1974-2646","journal-title":"Int J Comput Appl"},{"key":"2913_CR12","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.knosys.2014.03.015","volume":"64","author":"Y Zhang","year":"2014","unstructured":"Zhang Y, Wang S, Phillips P, Ji G (2014) Binary PSO with mutation operator for feature selection using decision tree applied to spam detection. Knowl-Based Syst 64:22\u201331","journal-title":"Knowl-Based Syst"},{"key":"2913_CR13","doi-asserted-by":"crossref","unstructured":"Sarafijanovic S, Boudec JL (2008) Artificial immune system for collaborative spam filtering. In: Proceedings of NICSO 2007, The Second Workshop on Nature Inspired Cooperative Strategies for Optimization","DOI":"10.1007\/978-3-540-78987-1_4"},{"key":"2913_CR14","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1016\/j.knosys.2004.10.002","volume":"18","author":"SJ Delany","year":"2005","unstructured":"Delany SJ, Cunningham P, Tsymbal A, Coyle L (2005) A case-based technique for tracking concept drift in spam filtering. Knowl-Based Syst 18:187\u2013195","journal-title":"Knowl-Based Syst"},{"key":"2913_CR15","unstructured":"Clark J, Koprinska I, Poon J (2003) A neural network based approach to automated e-mail classification. In: Proceedings of the IEEE\/WIC International Conference on Web Intelligence"},{"issue":"11","key":"2913_CR16","doi-asserted-by":"publisher","first-page":"3237","DOI":"10.1007\/s00500-014-1479-2","volume":"19","author":"NOF Elssied","year":"2015","unstructured":"Elssied NOF, Ibrahim O, Osman AH (2015) Enhancement of spam detection mechanism based on hybrid k-mean clustering and support vector machine. Soft Comput 19(11):3237\u20133248","journal-title":"Soft Comput"},{"issue":"2","key":"2913_CR17","first-page":"158","volume":"7","author":"V Eyharabide","year":"2008","unstructured":"Eyharabide V, Amandi A (2008) Semantic spam filtering from personalized ontologies. J Web Eng 7(2):158\u2013176","journal-title":"J Web Eng"},{"key":"2913_CR18","doi-asserted-by":"crossref","unstructured":"Sculley D, Wachman GM, Brodley CE (2006) Spam filtering using inexact string matching in explicit feature space with on-line linear classifiers. In: Proceedings of Fifteenth Text Retrieval Conference, Section\u00a02","DOI":"10.6028\/NIST.SP.500-272.spam-tufts.sculley"},{"key":"2913_CR19","doi-asserted-by":"publisher","first-page":"365","DOI":"10.1007\/978-3-319-12643-2_45","volume-title":"Neural Information Processing","author":"Yuli Dai","year":"2014","unstructured":"Dai Y, Tada S, Ban T, Nakazato J, Shimamura J (2014) Detecting malicious spam mails: an online machine learning approach. In: 21st International Conference on Neural Information Processing (ICONIP), pp 365\u2013372"},{"key":"2913_CR20","first-page":"1","volume":"2016","author":"N Perez-Diaz","year":"2016","unstructured":"Perez-Diaz N, Ruano-Ordas D, Fdez-Riverola F, Mendez JR (2016) Boosting accuracy of classical machine learning antispam classifiers in real scenarios by applying rough set theory. Sci Program 2016:1\u201311","journal-title":"Sci Program"},{"issue":"1","key":"2913_CR21","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1007\/s10844-013-0254-7","volume":"42","author":"B Zhou","year":"2014","unstructured":"Zhou B, Yao Y, Luo J (2014) Cost-sensitive three-way E-mail spam filtering. J Intell Inf Syst 42(1):19\u201345","journal-title":"J Intell Inf Syst"},{"key":"2913_CR22","doi-asserted-by":"crossref","unstructured":"Hotho A, Staab S, Stumme G (2003) Ontologies improve text document clustering. In: Proceedings of 3rd IEEE International Conference on Data Mining (ICDM03), Melbourne, FL, pp 541\u2013544","DOI":"10.1109\/ICDM.2003.1250972"},{"key":"2913_CR23","doi-asserted-by":"crossref","unstructured":"Hu W, Du J, Xing Y (2016) Spam filtering by semantics-based text classification. In: Proceedings of the 8th International Conference on Advanced Computational Intelligence, pp 89\u201394","DOI":"10.1109\/ICACI.2016.7449809"},{"key":"2913_CR24","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1145\/1149121.1149125","volume":"6","author":"S Stolfo","year":"2006","unstructured":"Stolfo S, Hershkop S (2006) Behavior-based modeling and its application to E-mail analysis. ACM Trans Internet Technol 6:187\u2013221","journal-title":"ACM Trans Internet Technol"},{"key":"2913_CR25","unstructured":"Yeh CY, Wu CH, Doong SH (2005) Effective spam classification based on meta-heuristics. In: Proceedings of IEEE International Conference on Systems, Man and Cybernetics, pp 3872\u20133877"},{"key":"2913_CR26","doi-asserted-by":"crossref","unstructured":"Brendel R, Krawczyk H (2007) Detection methods of dynamic spammers behavior. In: International conference on dependability of computer systems, pp. 145\u2013152","DOI":"10.1109\/DEPCOS-RELCOMEX.2007.17"},{"issue":"3","key":"2913_CR27","doi-asserted-by":"publisher","first-page":"1599","DOI":"10.1016\/j.eswa.2007.01.018","volume":"34","author":"WF Hsiao","year":"2008","unstructured":"Hsiao WF, Chang TM (2008) An incremental cluster-based approach to spam filtering. Expert Syst Appl 34(3):1599\u20131608","journal-title":"Expert Syst Appl"},{"key":"2913_CR28","volume-title":"Adaptive spam detection inspired by a cross-regulation model of immune dynamics: a study of concept drift. Lecture notes in computer science","author":"AA Haidar","year":"2008","unstructured":"Haidar AA, Rocha LM (2008) Adaptive spam detection inspired by a cross-regulation model of immune dynamics: a study of concept drift. Lecture notes in computer science, vol 5132. Springer, Berlin"},{"issue":"4","key":"2913_CR29","doi-asserted-by":"publisher","first-page":"1555","DOI":"10.1016\/j.eswa.2007.08.062","volume":"34","author":"DH Shih","year":"2008","unstructured":"Shih DH, Chiang HS, Lin B (2008) Collaborative spam filtering with heterogeneous agents. Expert Syst Appl 34(4):1555\u20131566","journal-title":"Expert Syst Appl"},{"key":"2913_CR30","unstructured":"Yih WT, Goodman J, Hulton G (2006) Learning at low false positive rates. In: Proceedings of the Third Conference on E-mail and Anti-Spam"},{"key":"2913_CR31","unstructured":"Wikipedia dataset https:\/\/en.wikipedia.org\/wiki\/Wikipedia:Size_of_Wikipedia"},{"key":"2913_CR32","unstructured":"The Enron corpus http:\/\/www.edrm.net\/resources\/data-sets\/edrm-enron-E-mail-data-set\/"},{"key":"2913_CR33","unstructured":"The PU corpora http:\/\/www.iit.demokritos.gr\/skel\/i-config\/"},{"key":"2913_CR34","unstructured":"The Spambase dataset https:\/\/archive.ics.usci.edu\/ml\/datasets\/spambase"},{"key":"2913_CR35","unstructured":"The Ling-Spam dataset http:\/\/csmining.org\/index.php\/ling-spam-datasets.html"},{"key":"2913_CR36","unstructured":"https:\/\/www.rstudio.com\/"},{"issue":"1","key":"2913_CR37","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1007\/s10462-009-9109-6","volume":"29","author":"E Blanzieri","year":"2008","unstructured":"Blanzieri E, Bryl A (2008) A survey of learning-based techniques of E-mail spam filtering. Artif Intell Rev 29(1):63\u201392. https:\/\/doi.org\/10.1007\/s10462-009-9109-6","journal-title":"Artif Intell Rev"},{"issue":"1","key":"2913_CR38","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1049\/cje.2015.01.022","volume":"24","author":"X Bin","year":"2015","unstructured":"Bin X, Ruiguang L, Yashu L, Hanbing Y, Siyuan L, Honggang Z (2015) Filtering Chinese image spam using Pseudo-OCR. Chin J Electron 24(1):134\u2013139","journal-title":"Chin J Electron"},{"issue":"4","key":"2913_CR39","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1109\/TPC.2012.2208392","volume":"55","author":"J Wang","year":"2012","unstructured":"Wang J, Herath T, Chen R, Vishwanath A, Rao HR (2012) Phishing susceptibility: an investigation into the processing of a targeted spear phishing E-mail. IEEE Trans Prof Commun 55(4):345\u2013362","journal-title":"IEEE Trans Prof Commun"},{"key":"2913_CR40","doi-asserted-by":"crossref","unstructured":"Jung JJ (2009) Towards collaborative spam filtering based on collective intelligence. In: First Asian Conference on Intelligent Information and Database Systems, pp 356\u2013361","DOI":"10.1109\/ACIIDS.2009.17"},{"key":"2913_CR41","doi-asserted-by":"crossref","unstructured":"Chirita PA, Nejdl W, Zamfir C (2005) Preventing shilling attacks in online recommender systems. In: Proceedings of the Seventh ACM International Workshop on Web Information and Data Management","DOI":"10.1145\/1097047.1097061"},{"key":"2913_CR42","first-page":"693","volume":"52","author":"X Hau","year":"2013","unstructured":"Hau X, Lee PN, Jung JJ, Sadeghi-niaraki A (2013) Collaborative spam filtering based on incremental ontology learning. Telecommun Syst 52:693\u2013700","journal-title":"Telecommun Syst"},{"key":"2913_CR43","doi-asserted-by":"publisher","unstructured":"Zhong Z, Ramaswamy L, Li K (2008) ALPACAS\u202f: a large-scale privacy-aware collaborative anti-spam system. In: INFOCOM. The 27th IEEE Conference on Computer Communications. https:\/\/doi.org\/10.1109\/infocom.2008.104","DOI":"10.1109\/infocom.2008.104"},{"key":"2913_CR44","unstructured":"Cunningham P, Nowlan N, Delany SJ, Haahr M (1994) A case-based approach to spam filtering that can track concept drift. no. Ml"},{"issue":"1","key":"2913_CR45","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1016\/j.eswa.2009.02.059","volume":"37","author":"H Xu","year":"2010","unstructured":"Xu H, Yu B (2010) Automatic thesaurus construction for spam filtering using revised back propagation neural network. Expert Syst Appl 37(1):18\u201323","journal-title":"Expert Syst Appl"},{"issue":"3","key":"2913_CR46","doi-asserted-by":"publisher","first-page":"4321","DOI":"10.1016\/j.eswa.2008.03.002","volume":"36","author":"CH Wu","year":"2009","unstructured":"Wu CH (2009) Behavior-based spam detection using a hybrid method of rule-based techniques and neural networks. Expert Syst Appl 36(3):4321\u20134330","journal-title":"Expert Syst Appl"},{"key":"2913_CR47","first-page":"53","volume-title":"Advances in Intelligent Systems and Computing","author":"Eman M. Bahgat","year":"2016","unstructured":"Bahgat EM, Moawad IF (2016) Semantic-based feature reduction approach for E-mail classification. In: Proceedings of the International Conference on Advanced Intelligent Systems and Informatics, pp 53\u201363"},{"key":"2913_CR48","doi-asserted-by":"crossref","unstructured":"Hu W, Du J, Xing Y (2016) Spam filtering by semantics-based text classification. In: Proceedings of the 8th International Conference on Advanced Computational Intelligence, ICACI, pp 89\u201394","DOI":"10.1109\/ICACI.2016.7449809"},{"key":"2913_CR49","doi-asserted-by":"crossref","unstructured":"Han A, Kim H, Ha I, Jo G (2008) Semantic analysis of user behaviors for detecting spam mail. In: IEEE International Workshop on Semantic Computing and Applications, pp 91\u201395","DOI":"10.1109\/IWSCA.2008.38"}],"container-title":["The Journal of Supercomputing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-019-02913-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11227-019-02913-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-019-02913-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,19]],"date-time":"2024-07-19T05:26:48Z","timestamp":1721366808000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11227-019-02913-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6,5]]},"references-count":49,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2020,2]]}},"alternative-id":["2913"],"URL":"https:\/\/doi.org\/10.1007\/s11227-019-02913-7","relation":{},"ISSN":["0920-8542","1573-0484"],"issn-type":[{"value":"0920-8542","type":"print"},{"value":"1573-0484","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,6,5]]},"assertion":[{"value":"5 June 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}