{"id":"https://openalex.org/W3172264423","doi":"https://doi.org/10.1145/3433210.3453092","title":"HoneyGen: Generating Honeywords Using Representation Learning","display_name":"HoneyGen: Generating Honeywords Using Representation Learning","publication_year":2021,"publication_date":"2021-05-24","ids":{"openalex":"https://openalex.org/W3172264423","doi":"https://doi.org/10.1145/3433210.3453092","mag":"3172264423"},"language":"en","primary_location":{"id":"doi:10.1145/3433210.3453092","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3433210.3453092","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 ACM Asia Conference on Computer and Communications Security","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/5082032","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047172111","display_name":"Antreas Dionysiou","orcid":"https://orcid.org/0000-0002-6517-8462"},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":true,"raw_author_name":"Antreas Dionysiou","raw_affiliation_strings":["University of Cyprus, Nicosia, Cyprus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021954539","display_name":"Vassilis Vassiliades","orcid":"https://orcid.org/0000-0002-1336-5629"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vassilis Vassiliades","raw_affiliation_strings":["CYENS Centre of Excellence, Nicosia, Cyprus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CYENS Centre of Excellence, Nicosia, Cyprus","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102849919","display_name":"\u0397\u03bb\u03af\u03b1\u03c2 \u0391\u03b8\u03b1\u03bd\u03b1\u03c3\u03cc\u03c0\u03bf\u03c5\u03bb\u03bf\u03c2","orcid":"https://orcid.org/0000-0002-8759-3261"},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":false,"raw_author_name":"Elias Athanasopoulos","raw_affiliation_strings":["University of Cyprus, Nicosia, Cyprus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Cyprus, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047172111"],"corresponding_institution_ids":["https://openalex.org/I34771391"],"apc_list":null,"apc_paid":null,"fwci":3.9816,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.94167233,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"265","last_page":"279"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","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/T11800","display_name":"User Authentication and Security Systems","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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12553","display_name":"Psychedelics and Drug Studies","score":0.9750999808311462,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/password","display_name":"Password","score":0.8966889381408691},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8265285491943359},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.7320360541343689},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4870658218860626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39692941308021545},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3625567555427551},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3563119173049927},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.29977601766586304}],"concepts":[{"id":"https://openalex.org/C109297577","wikidata":"https://www.wikidata.org/wiki/Q161157","display_name":"Password","level":2,"score":0.8966889381408691},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8265285491943359},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.7320360541343689},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4870658218860626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39692941308021545},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3625567555427551},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3563119173049927},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.29977601766586304},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3433210.3453092","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3433210.3453092","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 ACM Asia Conference on Computer and Communications Security","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:5082032","is_oa":true,"landing_page_url":"https://zenodo.org/record/5082032","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:5082032","is_oa":true,"landing_page_url":"https://zenodo.org/record/5082032","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3595696927","display_name":null,"funder_award_id":"830929, 786669, 739578","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G5356549776","display_name":null,"funder_award_id":"830929","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5933541608","display_name":"Securing Medical Data in Smart Patient-Centric Healthcare Systems","funder_award_id":"826278","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7788277423","display_name":"REactively Defending against Advanced Cybersecurity Threats","funder_award_id":"786669","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7842005466","display_name":null,"funder_award_id":"Horizon 2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G992966723","display_name":null,"funder_award_id":"739578","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W821002660","https://openalex.org/W1811376871","https://openalex.org/W1980697618","https://openalex.org/W2007488200","https://openalex.org/W2008648042","https://openalex.org/W2030515859","https://openalex.org/W2056711010","https://openalex.org/W2086553822","https://openalex.org/W2093397575","https://openalex.org/W2135359429","https://openalex.org/W2137548130","https://openalex.org/W2146270836","https://openalex.org/W2163922914","https://openalex.org/W2212366452","https://openalex.org/W2222978941","https://openalex.org/W2463456957","https://openalex.org/W2467263134","https://openalex.org/W2493916176","https://openalex.org/W2536378964","https://openalex.org/W2538793708","https://openalex.org/W2587709668","https://openalex.org/W2751580871","https://openalex.org/W2794001933","https://openalex.org/W2892112222","https://openalex.org/W2950577311","https://openalex.org/W2963532563","https://openalex.org/W2994997076","https://openalex.org/W3017841172","https://openalex.org/W3037604015","https://openalex.org/W3163114408","https://openalex.org/W4300011764"],"related_works":["https://openalex.org/W143386018","https://openalex.org/W1004582678","https://openalex.org/W2656445685","https://openalex.org/W2115218409","https://openalex.org/W2090949570","https://openalex.org/W2263162522","https://openalex.org/W1989237518","https://openalex.org/W4388150944","https://openalex.org/W2134080857","https://openalex.org/W2002093701"],"abstract_inverted_index":{"Honeywords":[0,37],"are":[1],"false":[2],"passwords":[3],"injected":[4],"in":[5],"a":[6,15,36,64,90,104],"database":[7],"for":[8],"detecting":[9],"password":[10,99],"leakage.":[11],"Generating":[12],"honeywords":[13,123],"is":[14],"challenging":[16],"problem":[17],"due":[18],"to":[19,83,128],"the":[20,24,43,46,55,113],"various":[21],"assumptions":[22],"about":[23],"adversary's":[25],"knowledge":[26],"as":[27,29],"well":[28],"users'":[30],"password-selection":[31],"behaviour.":[32],"The":[33],"success":[34,132],"of":[35,93,109],"Generation":[38],"Technique":[39],"(HGT)":[40],"lies":[41],"on":[42],"resulting":[44],"honeywords;":[45],"method":[47],"fails":[48],"if":[49],"an":[50],"adversary":[51],"can":[52],"easily":[53],"distinguish":[54],"real":[56],"password.":[57],"In":[58],"this":[59,77],"paper,":[60],"we":[61],"propose":[62],"HoneyGen,":[63],"practical":[65],"and":[66,86,106],"highly":[67],"robust":[68],"HGT":[69],"that":[70,119,124],"produces":[71],"realistic":[72],"looking":[73],"honeywords.":[74],"We":[75,101],"do":[76],"by":[78],"leveraging":[79],"representation":[80],"learning":[81],"techniques":[82],"learn":[84],"useful":[85],"explanatory":[87],"representations":[88],"from":[89],"massive":[91],"collection":[92],"unstructured":[94],"data,":[95],"i.e.,":[96],"each":[97],"operator's":[98],"database.":[100],"perform":[102],"both":[103],"quantitative":[105],"qualitative":[107],"evaluation":[108],"our":[110],"framework":[111],"using":[112],"state-of-the-art":[114],"metrics.":[115],"Our":[116],"results":[117],"suggest":[118],"HoneyGen":[120],"generates":[121],"high-quality":[122],"cause":[125],"sophisticated":[126],"attackers":[127],"achieve":[129],"low":[130],"distinguishing":[131],"rates.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-12T08:28:47.272897","created_date":"2025-10-10T00:00:00"}