{"id":"https://openalex.org/W2981229672","doi":"https://doi.org/10.1109/access.2019.2948212","title":"DroidARA: Android Application Automatic Categorization Based on API Relationship Analysis","display_name":"DroidARA: Android Application Automatic Categorization Based on API Relationship Analysis","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2981229672","doi":"https://doi.org/10.1109/access.2019.2948212","mag":"2981229672"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2948212","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2948212","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08876593.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08876593.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065601551","display_name":"Wenhao Fan","orcid":"https://orcid.org/0000-0001-5288-8708"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenhao Fan","raw_affiliation_strings":["Beijing Key Laboratory of Work Safety Intelligent Monitoring, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Work Safety Intelligent Monitoring, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100359095","display_name":"Ye Chen","orcid":"https://orcid.org/0000-0002-1080-7671"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Chen","raw_affiliation_strings":["Beijing Key Laboratory of Work Safety Intelligent Monitoring, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Work Safety Intelligent Monitoring, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020422392","display_name":"Yuanan Liu","orcid":"https://orcid.org/0000-0002-8076-1904"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan'An Liu","raw_affiliation_strings":["Beijing Key Laboratory of Work Safety Intelligent Monitoring, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Work Safety Intelligent Monitoring, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100676495","display_name":"Fan Wu","orcid":"https://orcid.org/0000-0002-1286-7141"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Wu","raw_affiliation_strings":["Beijing Key Laboratory of Work Safety Intelligent Monitoring, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Work Safety Intelligent Monitoring, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065601551"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.6697,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.85039562,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"157987","last_page":"157996"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10260","display_name":"Software Engineering Research","score":0.9898999929428101,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9891999959945679,"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":0.858710765838623},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.7583944201469421},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.6196061372756958},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5428221225738525},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5062602758407593},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5029475092887878},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45649993419647217},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.45173555612564087},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.43177860975265503},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3989201784133911}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.858710765838623},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.7583944201469421},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.6196061372756958},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5428221225738525},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5062602758407593},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5029475092887878},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45649993419647217},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.45173555612564087},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.43177860975265503},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3989201784133911},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2948212","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2948212","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08876593.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:30b60c8ff34d483fb62a39f87a956464","is_oa":true,"landing_page_url":"https://doaj.org/article/30b60c8ff34d483fb62a39f87a956464","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 157987-157996 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2948212","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2948212","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08876593.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8194511106","display_name":null,"funder_award_id":"61821001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8657175235","display_name":null,"funder_award_id":"61821001","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8951484681","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321392","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336363","display_name":"Beijing Key Laboratory of Work Safety Intelligent Monitoring, Beijing University of Posts and Telecommunications","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2981229672.pdf","grobid_xml":"https://content.openalex.org/works/W2981229672.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1506806321","https://openalex.org/W1984784169","https://openalex.org/W2032930526","https://openalex.org/W2085060569","https://openalex.org/W2114275288","https://openalex.org/W2140095007","https://openalex.org/W2162181963","https://openalex.org/W2227433950","https://openalex.org/W2338952839","https://openalex.org/W2341815265","https://openalex.org/W2522291077","https://openalex.org/W2566769426","https://openalex.org/W2574022511","https://openalex.org/W2591591831","https://openalex.org/W2602930571","https://openalex.org/W2804821333","https://openalex.org/W2891624050","https://openalex.org/W2953022528","https://openalex.org/W4212863985"],"related_works":["https://openalex.org/W2165912799","https://openalex.org/W2735662278","https://openalex.org/W2382615723","https://openalex.org/W4405331580","https://openalex.org/W4311804456","https://openalex.org/W1987484445","https://openalex.org/W2623658258","https://openalex.org/W2143413548","https://openalex.org/W1969219540","https://openalex.org/W2370459448"],"abstract_inverted_index":{"An":[0],"application":[1],"(app)":[2],"market":[3,64],"with":[4,10,206],"well-managed":[5],"categorization":[6,16,32,76,222],"will":[7,52],"help":[8],"users":[9,54],"app":[11,19,31,89],"search":[12],"and":[13,37,59,101,125],"recommendation.":[14],"Current":[15],"methods":[17,183,252],"in":[18,193,242],"markets":[20],"mainly":[21],"rely":[22],"on":[23,82,224],"manual":[24],"operation.":[25],"Existing":[26],"approaches":[27],"for":[28,78,186],"automatic":[29,75],"Android":[30,79],"suffer":[33],"from":[34,166],"low":[35,38],"efficiency":[36],"accuracy":[39,241],"due":[40],"to":[41,55,63,110,138,160,179],"insufficient":[42],"analysis":[43,137],"of":[44,49,190,209,217,228],"features,":[45],"or":[46],"inappropriate":[47],"choice":[48],"features.":[50],"This":[51],"mislead":[53],"download":[56],"unrelated":[57],"apps":[58,80,227,245],"is":[60,174,203],"not":[61],"conducive":[62],"stability":[65],"maintenance.":[66],"In":[67],"this":[68],"paper,":[69],"we":[70,105,184,219],"propose":[71],"DroidARA,":[72,218],"an":[73,238],"efficient":[74],"method":[77],"based":[81],"API":[83,95,112,117,131,140,163,167,195],"relationships":[84,96,118,146,164],"analysis.":[85],"Considering":[86],"that":[87,143,234],"the":[88,99,116,127,130,145,162,172,188,194,215,244],"category":[90],"can":[91,236],"be":[92],"characterized":[93],"by":[94,253],"which":[97,249],"represent":[98],"combinations":[100],"links":[102],"among":[103,147],"APIs,":[104],"design":[106],"a":[107],"complete":[108],"system":[109],"generate":[111,139],"call":[113,141,168],"graphs,":[114],"extract":[115,161],"information,":[119],"transform":[120],"them":[121],"into":[122,176,246],"feature":[123,181,211],"vectors":[124],"train":[126],"classifier.":[128],"Firstly,":[129],"calls":[132],"are":[133,158],"obtained":[134],"through":[135],"static":[136],"graphs":[142],"contain":[144],"APIs.":[148],"A":[149,197],"novel":[150],"matrix":[151,173],"structure":[152],"as":[153,155],"well":[154],"related":[156],"algorithm":[157],"designed":[159,185],"information":[165,192],"graphs.":[169],"After":[170],"that,":[171],"transformed":[175],"vector":[177],"according":[178],"two":[180],"selection":[182],"strengthening":[187],"use":[189],"effective":[191],"relationships.":[196],"convolutional":[198],"neural":[199],"network":[200],"(CNN)":[201],"model":[202],"then":[204],"trained":[205],"labeled":[207],"samples":[208],"such":[210],"vectors.":[212],"To":[213],"validate":[214],"feasibility":[216],"conduct":[220],"several":[221],"experiments":[223],"19949":[225],"real":[226],"Google":[229],"Play.":[230],"The":[231],"results":[232],"demonstrate":[233],"DroidARA":[235],"achieve":[237],"average":[239],"88.9%":[240],"categorizing":[243],"24":[247],"categories,":[248],"outperforms":[250],"existing":[251],"18.5%.":[254]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}