{"id":"https://openalex.org/W1534339231","doi":"https://doi.org/10.1109/icis.2015.7166592","title":"A graph model based author attribution technique for single-class e-mail classification","display_name":"A graph model based author attribution technique for single-class e-mail classification","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1534339231","doi":"https://doi.org/10.1109/icis.2015.7166592","mag":"1534339231"},"language":"en","primary_location":{"id":"doi:10.1109/icis.2015.7166592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis.2015.7166592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE/ACIS 14th International Conference on Computer and Information Science (ICIS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100808311","display_name":"Novino Nirmal.A","orcid":null},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Novino Nirmal.A","raw_affiliation_strings":["Department of Computer Engineering, Ajou University, South Korea","Dept of Computer Engineering, Ajou University, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Ajou University, South Korea","institution_ids":["https://openalex.org/I57664883"]},{"raw_affiliation_string":"Dept of Computer Engineering, Ajou University, South Korea","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068333871","display_name":"Kyung-Ah Sohn","orcid":"https://orcid.org/0000-0001-8941-1188"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyung-Ah Sohn","raw_affiliation_strings":["Department of Computer Engineering, Ajou University, South Korea","Dept of Computer Engineering, Ajou University, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Ajou University, South Korea","institution_ids":["https://openalex.org/I57664883"]},{"raw_affiliation_string":"Dept of Computer Engineering, Ajou University, South Korea","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044985062","display_name":"Tae\u2010Sun Chung","orcid":"https://orcid.org/0000-0001-5992-1136"},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Tae-Sun Chung","raw_affiliation_strings":["Department of Computer Engineering, Ajou University, South Korea","Dept of Computer Engineering, Ajou University, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Ajou University, South Korea","institution_ids":["https://openalex.org/I57664883"]},{"raw_affiliation_string":"Dept of Computer Engineering, Ajou University, South Korea","institution_ids":["https://openalex.org/I57664883"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I57664883"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"191","last_page":"196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11644","display_name":"Spam and Phishing Detection","score":0.9995999932289124,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.7369760870933533},{"id":"https://openalex.org/keywords/electronic-mail","display_name":"Electronic mail","score":0.58920818567276},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5473877787590027},{"id":"https://openalex.org/keywords/authorship-attribution","display_name":"Authorship attribution","score":0.5459058880805969},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5303602814674377},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5179980397224426},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.48673442006111145},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46817511320114136},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4650721549987793},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4447498917579651},{"id":"https://openalex.org/keywords/attribution","display_name":"Attribution","score":0.41732528805732727},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.39383047819137573},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3446570932865143},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3377419412136078}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7369760870933533},{"id":"https://openalex.org/C3020028006","wikidata":"https://www.wikidata.org/wiki/Q9158","display_name":"Electronic mail","level":2,"score":0.58920818567276},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5473877787590027},{"id":"https://openalex.org/C3020202489","wikidata":"https://www.wikidata.org/wiki/Q2032038","display_name":"Authorship attribution","level":2,"score":0.5459058880805969},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5303602814674377},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5179980397224426},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.48673442006111145},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46817511320114136},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4650721549987793},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4447498917579651},{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.41732528805732727},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39383047819137573},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3446570932865143},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3377419412136078},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icis.2015.7166592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icis.2015.7166592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE/ACIS 14th International Conference on Computer and Information Science (ICIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W27431698","https://openalex.org/W155995321","https://openalex.org/W2052569240","https://openalex.org/W2056234582","https://openalex.org/W2057443446","https://openalex.org/W2117013562","https://openalex.org/W2118020653","https://openalex.org/W2118537526","https://openalex.org/W2131904035","https://openalex.org/W2132623260","https://openalex.org/W2153635508","https://openalex.org/W2291335576","https://openalex.org/W6606406289","https://openalex.org/W6677318520","https://openalex.org/W6679539681","https://openalex.org/W6679746818"],"related_works":["https://openalex.org/W2035546108","https://openalex.org/W2376361520","https://openalex.org/W2133328864","https://openalex.org/W2093949997","https://openalex.org/W2570200690","https://openalex.org/W2389726244","https://openalex.org/W3213969421","https://openalex.org/W4205570701","https://openalex.org/W2975078241","https://openalex.org/W2623063325"],"abstract_inverted_index":{"Electronic":[0],"mails":[1],"have":[2,43,129,147,169,219],"increasingly":[3],"replaced":[4],"all":[5],"written":[6],"modes":[7],"of":[8,72,86,101,143,161,187,189,205,213],"communications":[9],"for":[10,52],"important":[11],"correspondences":[12],"including":[13],"personal":[14],"and":[15,49,63,89,172],"business":[16],"transactions.":[17],"An":[18],"e-mail":[19],"is":[20,97,120,177,182,199],"given":[21,94],"equal":[22],"significance":[23],"as":[24,57],"a":[25,36,93,98,121,133,178,190,206,211],"signed":[26],"document.":[27],"Hence":[28],"email":[29,46,65,75,84,95,100,125],"impersonation":[30],"through":[31],"compromised":[32],"accounts":[33],"has":[34],"become":[35],"major":[37],"threat.":[38],"In":[39],"this":[40],"paper,":[41],"we":[42],"proposed":[44,68,130],"an":[45,58,112,214],"style":[47,76,114],"acquisition":[48],"classification":[50,167],"model":[51,69,135,180],"authorship":[53,126],"attribution":[54],"that":[55,110,159],"serves":[56],"effective":[59],"tool":[60],"to":[61,131,136,152,208],"prevent":[62],"detect":[64],"impersonation.":[66],"The":[67,174,196],"gains":[70],"knowledge":[71],"the":[73,82,87,102,107,116,139,144,155,185,193,217,223],"author's":[74,113],"by":[77],"being":[78],"trained":[79],"only":[80,162],"with":[81,154],"sample":[83,157],"texts":[85],"author":[88,103],"then":[90],"identifies":[91],"if":[92],"text":[96],"legitimate":[99],"or":[104],"not.":[105],"Extracting":[106],"significant":[108],"features":[109],"represent":[111],"from":[115],"available":[117],"concise":[118],"emails":[119],"big":[122],"challenge":[123],"in":[124,192,210],"attribution.":[127],"We":[128,146],"use":[132],"graph-based":[134],"precisely":[137],"extract":[138],"unique":[140],"feature":[141,191,207],"set":[142],"author.":[145],"used":[148],"one-class":[149],"SVM":[150],"classifier":[151],"deal":[153],"single-class":[156],"data":[158],"consists":[160],"true":[163],"positive":[164],"samples.":[165],"Two":[166],"models":[168,218],"been":[170,220],"designed":[171],"compared.":[173],"first":[175],"one":[176],"probability":[179,186,204],"which":[181],"based":[183,200],"on":[184,201],"occurrence":[188],"specific":[194],"email.":[195,215],"second":[197],"technique":[198],"inclusive":[202],"compound":[203],"appear":[209],"sentence":[212],"Both":[216],"evaluated":[221],"against":[222],"public":[224],"Enron":[225],"dataset.":[226]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
