{"id":"https://openalex.org/W2569169617","doi":"https://doi.org/10.1109/besc.2016.7804482","title":"Coupled behavioral analysis for user preference-based email spamming","display_name":"Coupled behavioral analysis for user preference-based email spamming","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2569169617","doi":"https://doi.org/10.1109/besc.2016.7804482","mag":"2569169617"},"language":"en","primary_location":{"id":"doi:10.1109/besc.2016.7804482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/besc.2016.7804482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10453/145364","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102805853","display_name":"Frank Jiang","orcid":"https://orcid.org/0000-0003-3765-561X"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Frank Jiang","raw_affiliation_strings":["Faculty of Engineer of IT, University of Technology, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineer of IT, University of Technology, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112858724","display_name":"Gan Jin","orcid":"https://orcid.org/0009-0001-9960-8053"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Gan","raw_affiliation_strings":["College of Electronics and Engineering, Guangxi Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Engineering, Guangxi Normal University","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100704963","display_name":"Yuanyuan Xu","orcid":"https://orcid.org/0000-0001-7147-4498"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Xu","raw_affiliation_strings":["College of Electronics and Engineering, Guangxi Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Engineering, Guangxi Normal University","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051512158","display_name":"Guandong Xu","orcid":"https://orcid.org/0000-0003-4493-6663"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guandong Xu","raw_affiliation_strings":["College of Electronics and Engineering, Guangxi Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronics and Engineering, Guangxi Normal University","institution_ids":["https://openalex.org/I29739308"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spamming","display_name":"Spamming","score":0.9298255443572998},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.780938982963562},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7201351523399353},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6258008480072021},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6109609007835388},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.5715300440788269},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5076361894607544},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5037128329277039},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4905645251274109},{"id":"https://openalex.org/keywords/social-network-analysis","display_name":"Social network analysis","score":0.4395178258419037},{"id":"https://openalex.org/keywords/user-profile","display_name":"User profile","score":0.41084355115890503},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3879910409450531},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3817216157913208},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32082441449165344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26781153678894043},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.24724549055099487},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.13112583756446838},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.10749012231826782},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08504876494407654}],"concepts":[{"id":"https://openalex.org/C158955206","wikidata":"https://www.wikidata.org/wiki/Q83058","display_name":"Spamming","level":3,"score":0.9298255443572998},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.780938982963562},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7201351523399353},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6258008480072021},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6109609007835388},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.5715300440788269},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5076361894607544},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5037128329277039},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4905645251274109},{"id":"https://openalex.org/C114713312","wikidata":"https://www.wikidata.org/wiki/Q7551269","display_name":"Social network analysis","level":3,"score":0.4395178258419037},{"id":"https://openalex.org/C2780150774","wikidata":"https://www.wikidata.org/wiki/Q252500","display_name":"User profile","level":2,"score":0.41084355115890503},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3879910409450531},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3817216157913208},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32082441449165344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26781153678894043},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.24724549055099487},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.13112583756446838},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.10749012231826782},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08504876494407654},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/besc.2016.7804482","is_oa":false,"landing_page_url":"https://doi.org/10.1109/besc.2016.7804482","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC)","raw_type":"proceedings-article"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30135143","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401102","display_name":"Own your potential (DEAKIN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/103772","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/103772","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/145364","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/145364","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":{"id":"pmh:oai:opus.lib.uts.edu.au:10453/145364","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/145364","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W41576836","https://openalex.org/W961659484","https://openalex.org/W1965193359","https://openalex.org/W1975522802","https://openalex.org/W2008056655","https://openalex.org/W2011106713","https://openalex.org/W2059640750","https://openalex.org/W2066636486","https://openalex.org/W2085302848","https://openalex.org/W2090018148","https://openalex.org/W2099937822","https://openalex.org/W2112262734","https://openalex.org/W2112554371","https://openalex.org/W2115000965","https://openalex.org/W2120011452","https://openalex.org/W2122140895","https://openalex.org/W2131911893","https://openalex.org/W2137891816","https://openalex.org/W2149684865","https://openalex.org/W2167672345","https://openalex.org/W2170766502","https://openalex.org/W2172000360","https://openalex.org/W6677773337"],"related_works":["https://openalex.org/W2952662149","https://openalex.org/W2793616590","https://openalex.org/W2183090405","https://openalex.org/W2065835655","https://openalex.org/W2075666982","https://openalex.org/W3160699245","https://openalex.org/W2782955270","https://openalex.org/W2349928170","https://openalex.org/W1594712698","https://openalex.org/W2499535628"],"abstract_inverted_index":{"In":[0],"this":[1,155],"paper,":[2],"we":[3,28,79,158],"develop":[4],"and":[5,21,65,169,189],"implement":[6],"a":[7,22,59,81,113,148,167],"new":[8,82,183],"email":[9,26,86,116,130,135,156,193],"spamming":[10],"system":[11],"leveraged":[12],"by":[13,93],"coupled":[14,149],"text":[15,124],"similarity":[16,125],"analysis":[17],"on":[18,144],"user":[19,103,107,145,176],"preference":[20],"virtual":[23,134],"meta-layer":[24,85],"user-based":[25],"network,":[27,157],"take":[29],"the":[30,38,119,132,171,175,182],"social":[31,40,47,114],"networks":[32,36],"or":[33],"campus":[34],"LAN":[35],"as":[37,99],"spam":[39,53],"network":[41,56,87,136],"scenario.":[42],"Fewer":[43],"current":[44],"practices":[45],"exploit":[46],"networking":[48],"initiatives":[49],"to":[50,67,111,161,174],"assist":[51],"in":[52,166,195],"filtering.":[54],"Social":[55],"has":[57],"essentially":[58],"large":[60,73],"number":[61],"of":[62,71,75,102,197],"accounts":[63,77],"features":[64,92],"attributes":[66],"be":[68,138],"considered.":[69],"Instead":[70],"considering":[72,95],"amount":[74],"users":[76],"features,":[78],"construct":[80,112],"model":[83,151],"called":[84],"which":[88],"can":[89,137,185],"reduce":[90],"these":[91,105],"only":[94],"individual":[96,129],"user's":[97],"actions":[98,108],"an":[100],"indicator":[101],"preference,":[104],"common":[106],"are":[109,159],"considered":[110],"behavior-based":[115,133],"network.":[117],"With":[118],"further":[120],"analytic":[121],"results":[122,180],"from":[123],"measurements":[126],"for":[127,154],"each":[128],"contents,":[131],"improved":[139],"with":[140,191],"much":[141],"higher":[142,187],"accuracy":[143,190],"preferences.":[146],"Further,":[147],"selection":[150],"is":[152],"developed":[153],"able":[160],"consider":[162],"all":[163],"relevant":[164],"factors/features":[165],"whole":[168],"recommend":[170],"emails":[172],"practically":[173],"individually.":[177],"The":[178],"experimental":[179],"show":[181],"approach":[184],"achieve":[186],"precision":[188],"better":[192],"ranking":[194],"favor":[196],"personalised":[198],"preference.":[199]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
