{"id":"https://openalex.org/W2009109712","doi":"https://doi.org/10.1109/tkde.2014.2320733","title":"Discovery of Ranking Fraud for Mobile Apps","display_name":"Discovery of Ranking Fraud for Mobile Apps","publication_year":2014,"publication_date":"2014-04-29","ids":{"openalex":"https://openalex.org/W2009109712","doi":"https://doi.org/10.1109/tkde.2014.2320733","mag":"2009109712"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2014.2320733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2014.2320733","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5049015446","display_name":"Hengshu Zhu","orcid":"https://orcid.org/0000-0003-4570-643X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengshu Zhu","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China","[School of Computer Science and Technology University of Science and Technology of China, Hefei, Anhui, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"[School of Computer Science and Technology University of Science and Technology of China, Hefei, Anhui, China]","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101862104","display_name":"Hui Xiong","orcid":"https://orcid.org/0000-0001-6016-6465"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Xiong","raw_affiliation_strings":["Management Science and Information Systems Department, Rutgers Business School, Rutgers University, Newark, NJ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Management Science and Information Systems Department, Rutgers Business School, Rutgers University, Newark, NJ","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101744165","display_name":"Yong Ge","orcid":"https://orcid.org/0000-0001-8094-4180"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yong Ge","raw_affiliation_strings":["Computer Science Department, UNC Charlotte, Charlotte, NC","[Computer Science Department, UNC Charlotte, Charlotte, NC]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, UNC Charlotte, Charlotte, NC","institution_ids":["https://openalex.org/I102149020"]},{"raw_affiliation_string":"[Computer Science Department, UNC Charlotte, Charlotte, NC]","institution_ids":["https://openalex.org/I102149020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048237545","display_name":"Enhong Chen","orcid":"https://orcid.org/0000-0002-4835-4102"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enhong Chen","raw_affiliation_strings":["School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China","[School of Computer Science and Technology University of Science and Technology of China, Hefei, Anhui, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"[School of Computer Science and Technology University of Science and Technology of China, Hefei, Anhui, China]","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":16.9798,"has_fulltext":false,"cited_by_count":71,"citation_normalized_percentile":{"value":0.98881408,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"27","issue":"1","first_page":"74","last_page":"87"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9998000264167786,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9993000030517578,"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/ranking","display_name":"Ranking (information retrieval)","score":0.8734395503997803},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7927401661872864},{"id":"https://openalex.org/keywords/mobile-apps","display_name":"Mobile apps","score":0.7722290754318237},{"id":"https://openalex.org/keywords/commit","display_name":"Commit","score":0.6647145748138428},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.6185480356216431},{"id":"https://openalex.org/keywords/app-store","display_name":"App store","score":0.6123411059379578},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5018880367279053},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4300713837146759},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3968271315097809},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3465879559516907},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3246329724788666},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3077579438686371},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1814461350440979}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8734395503997803},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7927401661872864},{"id":"https://openalex.org/C2988145974","wikidata":"https://www.wikidata.org/wiki/Q620615","display_name":"Mobile apps","level":2,"score":0.7722290754318237},{"id":"https://openalex.org/C153180980","wikidata":"https://www.wikidata.org/wiki/Q19776675","display_name":"Commit","level":2,"score":0.6647145748138428},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.6185480356216431},{"id":"https://openalex.org/C2779794324","wikidata":"https://www.wikidata.org/wiki/Q3814081","display_name":"App store","level":2,"score":0.6123411059379578},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5018880367279053},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4300713837146759},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3968271315097809},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3465879559516907},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3246329724788666},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3077579438686371},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1814461350440979},{"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tkde.2014.2320733","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2014.2320733","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.705.1912","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.705.1912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://staff.ustc.edu.cn/%7Echeneh/paper_pdf/2014/Hengshu-Zhu-TKDE.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G3105975269","display_name":null,"funder_award_id":"61325010","funder_id":"https://openalex.org/F4320336125","funder_display_name":"National Science Fund for Distinguished Young Scholars"}],"funders":[{"id":"https://openalex.org/F4320336125","display_name":"National Science Fund for Distinguished Young Scholars","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1499036818","https://openalex.org/W1877442813","https://openalex.org/W1880262756","https://openalex.org/W1934555896","https://openalex.org/W1975570633","https://openalex.org/W2000881526","https://openalex.org/W2001082470","https://openalex.org/W2011395874","https://openalex.org/W2015057666","https://openalex.org/W2016266039","https://openalex.org/W2016395443","https://openalex.org/W2046586564","https://openalex.org/W2047756776","https://openalex.org/W2051275384","https://openalex.org/W2060854861","https://openalex.org/W2066055909","https://openalex.org/W2100738695","https://openalex.org/W2110591510","https://openalex.org/W2132300069","https://openalex.org/W2133699849","https://openalex.org/W2136710010","https://openalex.org/W2145680575","https://openalex.org/W2159359879","https://openalex.org/W2167117130","https://openalex.org/W2168884627","https://openalex.org/W2797148637","https://openalex.org/W4301347335","https://openalex.org/W6639380717","https://openalex.org/W6639619044","https://openalex.org/W6640406786"],"related_works":["https://openalex.org/W3142571737","https://openalex.org/W2890710341","https://openalex.org/W4387360127","https://openalex.org/W2605037362","https://openalex.org/W3173766926","https://openalex.org/W3120409491","https://openalex.org/W785354139","https://openalex.org/W4226085607","https://openalex.org/W2011781116","https://openalex.org/W4367026699"],"abstract_inverted_index":{"Ranking":[0],"fraud":[1,61,88,93,108,182,231],"in":[2,22,72,78],"the":[3,20,23,56,106,111,128,179,187,196,206,210,213,218,221],"mobile":[4,97,118],"App":[5,34,49,135,192,198],"market":[6],"refers":[7],"to":[8,36,51,103,176],"fraudulent":[9],"or":[10,46],"deceptive":[11],"activities":[12],"which":[13],"have":[14],"a":[15,83,91,201],"purpose":[16],"of":[17,58,86,117,132,134,142,212,220,229],"bumping":[18],"up":[19],"Apps":[21],"popularity":[24],"list.":[25],"Indeed,":[26],"it":[27],"becomes":[28],"more":[29,31],"and":[30,70,89,151,160,216],"frequent":[32],"for":[33,96,126,181,200],"developers":[35],"use":[37],"shady":[38],"means,":[39],"such":[40],"as":[41,224,226],"inflating":[42],"their":[43],"Apps'":[44,157],"sales":[45],"posting":[47],"phony":[48],"ratings,":[50],"commit":[52],"ranking":[53,60,87,92,107,145,230],"fraud.":[54],"While":[55],"importance":[57],"preventing":[59],"has":[62],"been":[63],"widely":[64],"recognized,":[65],"there":[66],"is":[67],"limited":[68],"understanding":[69],"research":[71],"this":[73,76,79],"area.":[74],"To":[75],"end,":[77],"paper,":[80],"we":[81,100,138,169,185,208],"provide":[82],"holistic":[84],"view":[85],"propose":[90,102,170],"detection":[94,222],"system":[95,189],"Apps.":[98,119],"Specifically,":[99],"first":[101],"accurately":[104],"locate":[105],"by":[109,155],"mining":[110],"active":[112],"periods,":[113],"namely":[114],"leading":[115,121],"sessions,":[116],"Such":[120],"sessions":[122],"can":[123],"be":[124],"leveraged":[125],"detecting":[127],"local":[129],"anomaly":[130],"instead":[131],"globalanomaly":[133],"rankings.":[136],"Furthermore,":[137],"investigate":[139],"three":[140],"types":[141],"evidences,":[143,147,154],"i.e.,":[144],"based":[146,149,153,173],"rating":[148,159],"evidences":[150,180],"review":[152,161],"modeling":[156],"ranking,":[158],"behaviors":[162],"through":[163],"statistical":[164],"hypotheses":[165],"tests.":[166],"In":[167,205],"addition,":[168],"an":[171],"optimization":[172],"aggregation":[174],"method":[175],"integrate":[177],"all":[178],"detection.":[183],"Finally,":[184],"evaluate":[186],"proposed":[188,214],"with":[190],"real-world":[191],"data":[193],"collected":[194],"from":[195],"iOS":[197],"Store":[199],"long":[202],"time":[203],"period.":[204],"experiments,":[207],"validate":[209],"effectiveness":[211],"system,":[215],"show":[217],"scalability":[219],"algorithm":[223],"well":[225],"some":[227],"regularity":[228],"activities.":[232]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}