{"id":"https://openalex.org/W4281842937","doi":"https://doi.org/10.1145/3524304.3524333","title":"Character-level domain name generation algorithm based on ED-GAN","display_name":"Character-level domain name generation algorithm based on ED-GAN","publication_year":2022,"publication_date":"2022-02-24","ids":{"openalex":"https://openalex.org/W4281842937","doi":"https://doi.org/10.1145/3524304.3524333"},"language":"en","primary_location":{"id":"doi:10.1145/3524304.3524333","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3524304.3524333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 11th International Conference on Software and Computer Applications","raw_type":"proceedings-article"},"type":"article","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/A5030231661","display_name":"Bei Gong","orcid":"https://orcid.org/0000-0003-3188-3531"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bei Gong","raw_affiliation_strings":["Beijing university of technology, China"],"affiliations":[{"raw_affiliation_string":"Beijing university of technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083384474","display_name":"Zhenhu Ning","orcid":"https://orcid.org/0000-0001-6793-2118"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenhu Ning","raw_affiliation_strings":["Beijing university of technology, China"],"affiliations":[{"raw_affiliation_string":"Beijing university of technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009184834","display_name":"Yi Zhu","orcid":"https://orcid.org/0000-0003-3045-2588"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhu","raw_affiliation_strings":["Beijing university of technology, China"],"affiliations":[{"raw_affiliation_string":"Beijing university of technology, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040007583","display_name":"Shanshan Tu","orcid":"https://orcid.org/0000-0002-6220-4119"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanshan Tu","raw_affiliation_strings":["Beijing university of technology, China"],"affiliations":[{"raw_affiliation_string":"Beijing university of technology, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5030231661"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04400007,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"198","last_page":"205"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9552000164985657,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9552000164985657,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9487000107765198,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/counterfeit","display_name":"Counterfeit","score":0.8731834292411804},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.8037576675415039},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7861521244049072},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.7842848300933838},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5309241414070129},{"id":"https://openalex.org/keywords/domain-name","display_name":"Domain name","score":0.5042763948440552},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5034639239311218},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.46272578835487366},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4285867214202881},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41109195351600647},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3853796422481537},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35877200961112976},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.315876305103302},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10535255074501038},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.0736531913280487}],"concepts":[{"id":"https://openalex.org/C2779356469","wikidata":"https://www.wikidata.org/wiki/Q502918","display_name":"Counterfeit","level":2,"score":0.8731834292411804},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.8037576675415039},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7861521244049072},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.7842848300933838},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5309241414070129},{"id":"https://openalex.org/C2988987868","wikidata":"https://www.wikidata.org/wiki/Q32635","display_name":"Domain name","level":3,"score":0.5042763948440552},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5034639239311218},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.46272578835487366},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4285867214202881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41109195351600647},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3853796422481537},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35877200961112976},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.315876305103302},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10535255074501038},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0736531913280487},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3524304.3524333","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3524304.3524333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 11th International Conference on Software and Computer Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1676314349","https://openalex.org/W2792815878","https://openalex.org/W2804769055","https://openalex.org/W3014018380","https://openalex.org/W3034138874","https://openalex.org/W3049651907","https://openalex.org/W3091653824"],"related_works":["https://openalex.org/W3191226418","https://openalex.org/W2357749344","https://openalex.org/W4323356230","https://openalex.org/W2888032422","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2845413374","https://openalex.org/W3005996785","https://openalex.org/W4297411772","https://openalex.org/W4235873501"],"abstract_inverted_index":{"In":[0],"response":[1],"to":[2,5,15,63,84,101,106],"the":[3,7,76,103,117,120,128,131],"need":[4],"obtain":[6],"latest":[8],"counterfeit":[9,18,71,93,113],"domain":[10,19,32,43,47,57,72,94,114,123],"name":[11,20,33,48,58,124],"samples":[12],"in":[13,22],"time":[14],"prevent":[16],"new":[17],"attacks":[21],"high-level":[23],"security":[24],"requirement":[25],"scenarios,":[26],"this":[27],"chapter":[28],"proposes":[29],"a":[30],"character-level":[31,122],"generation":[34,59,125],"method":[35],"based":[36],"on":[37],"ED-GAN.":[38],"By":[39],"combining":[40],"Encoder":[41],"of":[42,46,81,89,119,130],"names,":[44],"Decoder":[45],"vectors,":[49],"and":[50,74,87,91,108,111,127],"Generative":[51],"Adversarial":[52],"Network":[53],"(GAN),":[54],"an":[55],"ED-GAN-based":[56,121],"algorithm":[60,126],"is":[61,99],"proposed":[62],"generate":[64],"realistic":[65],"data":[66,78,98,133],"by":[67],"learning":[68],"from":[69],"real":[70],"names":[73],"using":[75],"generated":[77,97,132],"for":[79],"training":[80],"detection":[82,86,104],"models":[83],"achieve":[85],"prediction":[88],"emerging":[90,110],"potential":[92,112],"names.":[95,115],"The":[96],"used":[100],"train":[102],"model":[105],"detect":[107],"predict":[109],"Finally,":[116],"feasibility":[118],"effectiveness":[129],"are":[134],"demonstrated":[135],"through":[136],"experimental":[137],"performance":[138],"comparisons":[139],"with":[140],"various":[141],"classifiers.":[142]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
