{"id":"https://openalex.org/W2896695135","doi":"https://doi.org/10.1145/3270101.3270109","title":"FeatNet","display_name":"FeatNet","publication_year":2018,"publication_date":"2018-01-15","ids":{"openalex":"https://openalex.org/W2896695135","doi":"https://doi.org/10.1145/3270101.3270109","mag":"2896695135"},"language":"en","primary_location":{"id":"doi:10.1145/3270101.3270109","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3270101.3270109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security","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/A5086775306","display_name":"Chao Xu","orcid":"https://orcid.org/0000-0002-5099-0060"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Xu","raw_affiliation_strings":["Baidu.Inc, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu.Inc, Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073517860","display_name":"Zhentan Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhentan Feng","raw_affiliation_strings":["Baidu.Inc, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu.Inc, Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101433146","display_name":"Yizheng Chen","orcid":"https://orcid.org/0000-0001-8799-2580"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yizheng Chen","raw_affiliation_strings":["Baidu.Inc, Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"Baidu.Inc, Sunnyvale, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325519","display_name":"Minghua Wang","orcid":"https://orcid.org/0000-0002-2270-2076"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghua Wang","raw_affiliation_strings":["Baidu.Inc, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu.Inc, Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102921233","display_name":"Tao Wei","orcid":"https://orcid.org/0000-0002-7086-8935"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao Wei","raw_affiliation_strings":["Baidu.Inc, Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"Baidu.Inc, Sunnyvale, CA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5086775306"],"corresponding_institution_ids":["https://openalex.org/I98301712"],"apc_list":null,"apc_paid":null,"fwci":0.3258,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68010738,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"57","last_page":"63"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9995999932289124,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9995999932289124,"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":0.9993000030517578,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9958999752998352,"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/computer-science","display_name":"Computer science","score":0.8332493305206299},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.6476166844367981},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.599436342716217},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5541648864746094},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5374600887298584},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.491131991147995},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4605850577354431},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.451660692691803},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43959158658981323},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4277435839176178},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4001222252845764},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.27112090587615967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2587549090385437},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.25322821736335754},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2369784414768219},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.20328474044799805}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8332493305206299},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.6476166844367981},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.599436342716217},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5541648864746094},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5374600887298584},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.491131991147995},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4605850577354431},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.451660692691803},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43959158658981323},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4277435839176178},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4001222252845764},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.27112090587615967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2587549090385437},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.25322821736335754},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2369784414768219},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20328474044799805},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3270101.3270109","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3270101.3270109","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1587084186","https://openalex.org/W1614298861","https://openalex.org/W1615991656","https://openalex.org/W1888005072","https://openalex.org/W1978887394","https://openalex.org/W1987810983","https://openalex.org/W2001325956","https://openalex.org/W2052261215","https://openalex.org/W2090891622","https://openalex.org/W2109480754","https://openalex.org/W2127387319","https://openalex.org/W2132202037","https://openalex.org/W2142535891","https://openalex.org/W2145658888","https://openalex.org/W2154851992","https://openalex.org/W2161392727","https://openalex.org/W2242161203","https://openalex.org/W2250539671","https://openalex.org/W2294865516","https://openalex.org/W2393319904","https://openalex.org/W2624431344","https://openalex.org/W2739747431","https://openalex.org/W2740934577","https://openalex.org/W2743104969","https://openalex.org/W2951943225","https://openalex.org/W2962756421","https://openalex.org/W3104097132","https://openalex.org/W3104717349","https://openalex.org/W3105705953","https://openalex.org/W3141829038"],"related_works":["https://openalex.org/W2392768766","https://openalex.org/W2058118494","https://openalex.org/W2382021449","https://openalex.org/W2095118173","https://openalex.org/W2371352078","https://openalex.org/W2104269053","https://openalex.org/W2106424170","https://openalex.org/W1985426483","https://openalex.org/W2501188010","https://openalex.org/W2324246115"],"abstract_inverted_index":{"Online":[0],"fraud":[1,13,79,142],"such":[2,29],"as":[3],"search":[4],"engine":[5],"poisoning,":[6],"groups":[7],"of":[8,22,108,129,135],"fake":[9],"accounts":[10],"and":[11,88,104,152,166],"opinion":[12],"is":[14,32,65],"conducted":[15],"by":[16,37,110],"fraudsters":[17],"controlling":[18],"a":[19,148],"large":[20],"number":[21],"mobile":[23],"devices.":[24,130],"The":[25],"key":[26],"to":[27,33,67,122,125],"detect":[28,68],"fraudulent":[30,69],"activities":[31],"identify":[34],"devices":[35,43],"controlled":[36],"fraudsters.":[38],"Traditional":[39],"approaches":[40],"that":[41,156],"fingerprint":[42],"based":[44],"on":[45,147],"device":[46,51,78,86,89,99,123],"metadata":[47],"only":[48],"consider":[49],"single":[50],"information.":[52],"However,":[53],"these":[54],"techniques":[55],"do":[56],"not":[57],"utilize":[58],"the":[59,98,106,118,127,132,153,171],"relationship":[60],"among":[61],"different":[62],"devices,":[63],"which":[64,84],"crucial":[66],"activities.":[70],"In":[71],"this":[72],"paper,":[73],"we":[74,96,116],"propose":[75],"an":[76],"effective":[77],"detection":[80],"framework":[81],"called":[82],"FeatNet,":[83],"incorporates":[85],"features":[87,124],"relationships":[90],"in":[91,170],"network":[92,100],"representation":[93,128],"learning.":[94],"Specifically,":[95],"partition":[97],"into":[101],"bipartite":[102,137],"graphs":[103,138],"generate":[105,117],"neighborhoods":[107],"vertices":[109],"revised":[111],"truncated":[112],"random":[113],"walk.":[114],"Then,":[115],"feature":[119],"signature":[120],"according":[121],"learn":[126],"Finally,":[131],"embedding":[133],"vectors":[134],"all":[136],"are":[139],"used":[140],"for":[141],"detection.":[143],"We":[144],"conduct":[145],"experiments":[146],"large-scale":[149],"data":[150],"set":[151],"result":[154],"shows":[155],"our":[157],"approach":[158],"can":[159,167],"achieve":[160],"better":[161],"accuracy":[162],"than":[163],"existing":[164],"algorithms":[165],"be":[168],"deployed":[169],"real":[172],"production":[173],"environment":[174],"with":[175],"high":[176],"performance.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2018-10-26T00:00:00"}