{"id":"https://openalex.org/W2528970067","doi":"https://doi.org/10.1145/2875913.2875941","title":"Combining Crowd Contributions with Machine Learning to Detect Malicious Mobile Apps","display_name":"Combining Crowd Contributions with Machine Learning to Detect Malicious Mobile Apps","publication_year":2015,"publication_date":"2015-11-06","ids":{"openalex":"https://openalex.org/W2528970067","doi":"https://doi.org/10.1145/2875913.2875941","mag":"2528970067"},"language":"en","primary_location":{"id":"doi:10.1145/2875913.2875941","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2875913.2875941","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th Asia-Pacific Symposium on Internetware","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/A5067792697","display_name":"Dahai Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dahai Yao","raw_affiliation_strings":["School of Computer Science, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087952294","display_name":"Hailong Sun","orcid":"https://orcid.org/0000-0001-7654-5574"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailong Sun","raw_affiliation_strings":["School of Computer Science, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104473141","display_name":"Xudong Liu","orcid":"https://orcid.org/0000-0001-7102-0963"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xudong Liu","raw_affiliation_strings":["School of Computer Science, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067792697"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.25279851,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"120","last_page":"123"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":1.0,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9976999759674072,"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"}},{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9954000115394592,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8212028741836548},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.7188870310783386},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.6654874086380005},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.5581915378570557},{"id":"https://openalex.org/keywords/mobile-malware","display_name":"Mobile malware","score":0.4880944490432739},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4704647958278656},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.4564116597175598},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4424522817134857},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.42416322231292725},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4164716899394989},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4051540493965149},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40367820858955383},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.23560869693756104},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11873182654380798}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8212028741836548},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.7188870310783386},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.6654874086380005},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.5581915378570557},{"id":"https://openalex.org/C2780967490","wikidata":"https://www.wikidata.org/wiki/Q1291200","display_name":"Mobile malware","level":3,"score":0.4880944490432739},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4704647958278656},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.4564116597175598},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4424522817134857},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.42416322231292725},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4164716899394989},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4051540493965149},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40367820858955383},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.23560869693756104},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11873182654380798},{"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":1,"locations":[{"id":"doi:10.1145/2875913.2875941","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2875913.2875941","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th Asia-Pacific Symposium on Internetware","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":0.6899999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1990649188","https://openalex.org/W2060692877","https://openalex.org/W2085577046","https://openalex.org/W2122672392","https://openalex.org/W3136699861"],"related_works":["https://openalex.org/W2538622067","https://openalex.org/W2181494682","https://openalex.org/W4389954502","https://openalex.org/W4245250093","https://openalex.org/W3114159050","https://openalex.org/W2484248966","https://openalex.org/W4244354662","https://openalex.org/W2771255398","https://openalex.org/W4200054778","https://openalex.org/W2777464647"],"abstract_inverted_index":{"Android":[0],"is":[1],"undoubtedly":[2],"becoming":[3],"the":[4,17,20,52,74,120,160,165,215],"most":[5],"popular":[6],"smartphone":[7],"platform.":[8],"The":[9],"popularity":[10],"of":[11,22,25,57,122,202,214],"Android,":[12],"unfortunately,":[13],"has":[14],"also":[15,68],"made":[16],"devices":[18],"become":[19],"target":[21],"malware.":[23],"Most":[24],"existing":[26],"malicious":[27,62,108,188,204],"mobile":[28,109,205],"apps":[29],"feature":[30],"stealthy":[31],"operations":[32],"such":[33,138,177],"as":[34,115,139,178],"collecting":[35],"user":[36,75,89,124,162],"privacy,":[37],"sending":[38],"premium":[39],"SMS":[40],"messages":[41],"and":[42,117,141,158,184],"making":[43],"unauthorized":[44],"http":[45],"connections":[46],"with":[47,103,119,191,217],"no":[48],"legal":[49],"notice":[50],"to":[51,72,106,133,151,164,186,212],"affected":[53],"user.":[54],"However,":[55],"transmission":[56,114],"sensitive":[58,70,167],"data":[59,71,168],"cannot":[60],"indicate":[61],"behavior":[63],"because":[64],"some":[65],"benign":[66],"applications":[67],"need":[69],"improve":[73],"experience.":[76],"Existing":[77],"malware":[78,216],"detection":[79],"approaches":[80],"focus":[81],"on":[82,127],"static":[83,131],"or":[84],"dynamic":[85,148],"analysis":[86,132],"without":[87],"crowd":[88,101,161],"contributions.":[90],"In":[91],"this":[92],"paper,":[93],"we":[94,146,171],"propose":[95],"a":[96],"novel":[97],"technique":[98,150],"which":[99],"combining":[100],"contributions":[102],"machine":[104],"learning":[105],"detect":[107,187,210],"apps.":[110,189],"We":[111,129],"model":[112],"privacy":[113],"user-determined":[116],"undetermined":[118],"help":[121],"real":[123,153,193],"decisions":[125,163],"based":[126],"crowdsourcing.":[128],"apply":[130],"extract":[134],"application":[135,194],"basic":[136],"information":[137],"permissions":[140],"suspicious":[142],"API":[143,154],"calls.":[144],"Then":[145],"use":[147],"instrumentation":[149],"trace":[152],"calls":[155],"at":[156],"runtime":[157],"collect":[159],"prompted":[166],"transmission.":[169],"Finally,":[170],"employ":[172],"several":[173],"different":[174],"learning-based":[175],"algorithms,":[176],"SVM,":[179],"Bayesian":[180],"Network,":[181],"Decision":[182],"Tree":[183],"KNN":[185],"Experiments":[190],"100":[192],"samples":[195],"show":[196],"that":[197],"our":[198,207],"system":[199,208],"was":[200],"capable":[201],"detecting":[203],"apps:":[206],"can":[209],"85%":[211],"97%":[213],"low":[218],"false":[219],"positive":[220],"rate.":[221]},"counts_by_year":[{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
