{"id":"https://openalex.org/W4387546243","doi":"https://doi.org/10.1109/access.2023.3323845","title":"Android Malware Detection by Correlated Real Permission Couples Using FP Growth Algorithm and Neural Networks","display_name":"Android Malware Detection by Correlated Real Permission Couples Using FP Growth Algorithm and Neural Networks","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387546243","doi":"https://doi.org/10.1109/access.2023.3323845"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3323845","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3323845","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10278397.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":null,"license_id":null,"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/ielx7/6287639/6514899/10278397.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075101308","display_name":"Abhinandan Banik","orcid":"https://orcid.org/0000-0002-8444-0681"},"institutions":[{"id":"https://openalex.org/I11793825","display_name":"National Institute of Technology Patna","ror":"https://ror.org/056wyhh33","country_code":"IN","type":"education","lineage":["https://openalex.org/I11793825","https://openalex.org/I4210152752"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Abhinandan Banik","raw_affiliation_strings":["National Institute of Technology Patna, Patna, India"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology Patna, Patna, India","institution_ids":["https://openalex.org/I11793825"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035277232","display_name":"Jyoti Prakash Singh","orcid":"https://orcid.org/0000-0002-3742-7484"},"institutions":[{"id":"https://openalex.org/I11793825","display_name":"National Institute of Technology Patna","ror":"https://ror.org/056wyhh33","country_code":"IN","type":"education","lineage":["https://openalex.org/I11793825","https://openalex.org/I4210152752"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jyoti Prakash Singh","raw_affiliation_strings":["National Institute of Technology Patna, Patna, India"],"affiliations":[{"raw_affiliation_string":"National Institute of Technology Patna, Patna, India","institution_ids":["https://openalex.org/I11793825"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075101308"],"corresponding_institution_ids":["https://openalex.org/I11793825"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.2604,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.93302034,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"11","issue":null,"first_page":"124996","last_page":"125010"},"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":0.9739999771118164,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9725000262260437,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/android","display_name":"Android (operating system)","score":0.8374186754226685},{"id":"https://openalex.org/keywords/permission","display_name":"Permission","score":0.826831579208374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7852059602737427},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.7398064732551575},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5766509175300598},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.513293445110321},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4818890690803528},{"id":"https://openalex.org/keywords/mobile-malware","display_name":"Mobile malware","score":0.4254833161830902},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4247966706752777},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36187928915023804},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.29474836587905884},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.23912686109542847}],"concepts":[{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.8374186754226685},{"id":"https://openalex.org/C2779089604","wikidata":"https://www.wikidata.org/wiki/Q7169333","display_name":"Permission","level":2,"score":0.826831579208374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7852059602737427},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.7398064732551575},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5766509175300598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.513293445110321},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4818890690803528},{"id":"https://openalex.org/C2780967490","wikidata":"https://www.wikidata.org/wiki/Q1291200","display_name":"Mobile malware","level":3,"score":0.4254833161830902},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4247966706752777},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36187928915023804},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.29474836587905884},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.23912686109542847},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3323845","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3323845","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10278397.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:dea82ff00e004896836fbe8cbe8685a9","is_oa":true,"landing_page_url":"https://doaj.org/article/dea82ff00e004896836fbe8cbe8685a9","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 124996-125010 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3323845","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3323845","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10278397.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387546243.pdf","grobid_xml":"https://content.openalex.org/works/W4387546243.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1856835768","https://openalex.org/W2025970734","https://openalex.org/W2122672392","https://openalex.org/W2158698691","https://openalex.org/W2291014553","https://openalex.org/W2407313496","https://openalex.org/W2552042714","https://openalex.org/W2780618540","https://openalex.org/W2958606732","https://openalex.org/W2972552958","https://openalex.org/W2982705228","https://openalex.org/W2999309192","https://openalex.org/W3006845315","https://openalex.org/W3085238546","https://openalex.org/W3093636427","https://openalex.org/W3105429705","https://openalex.org/W3119955105","https://openalex.org/W3135916744","https://openalex.org/W3167683049","https://openalex.org/W3170903008","https://openalex.org/W3199491448","https://openalex.org/W3208499662","https://openalex.org/W3216588331","https://openalex.org/W4205644104","https://openalex.org/W4210816515","https://openalex.org/W4214826411","https://openalex.org/W4221025359","https://openalex.org/W4226353124","https://openalex.org/W4309879255"],"related_works":["https://openalex.org/W2316685381","https://openalex.org/W2538622067","https://openalex.org/W3003485427","https://openalex.org/W2056388267","https://openalex.org/W2249350383","https://openalex.org/W4210309948","https://openalex.org/W2755037920","https://openalex.org/W2717179875","https://openalex.org/W4249118297","https://openalex.org/W4388923452"],"abstract_inverted_index":{"In":[0],"the":[1,26,64,74,99,104,110,122,129,171,208,215,223],"current":[2],"internet":[3],"era,":[4],"where":[5],"mobile":[6],"devices":[7],"are":[8,67],"ubiquitous":[9],"and":[10,15,29,139,200],"often":[11],"hold":[12],"sensitive":[13],"personal":[14],"corporate":[16],"data,":[17],"Android":[18,41,50,79,93,105],"malware":[19,42,155],"analysis":[20],"is":[21,54,71,154,178],"crucial":[22],"to":[23,40,87,97,149,169],"protect":[24],"against":[25],"increasing":[27],"sophistication":[28],"prevalence":[30],"of":[31,116,131,175,207,232],"mobile-based":[32],"cyberattacks.":[33],"This":[34,52],"article":[35],"proposes":[36],"an":[37,152,230],"innovative":[38],"approach":[39,53],"detection":[43],"using":[44,121],"real":[45,75,100,117,134],"permissions":[46,66,118],"features":[47],"extracted":[48],"from":[49,73,103],"code.":[51,107],"unique":[55],"among":[56],"existing":[57],"literature":[58],"because,":[59],"there":[60],"for":[61],"most":[62,111],"cases,":[63],"declared":[65],"being":[68],"used,":[69],"which":[70],"different":[72],"permission":[76,101,135],"used":[77],"in":[78,91],"apps.":[80],"Here,":[81],"step-by-step":[82],"guidelines":[83],"have":[84,165],"been":[85,167],"elaborated":[86],"perform":[88],"reverse":[89],"engineering":[90],"any":[92],"application":[94],"package":[95],"(APK)":[96],"extract":[98],"feature":[102],"disassembled":[106],"After":[108],"that,":[109],"frequent":[112],"&":[113],"correlated":[114],"pairs":[115],"were":[119],"identified":[120,133],"Frequent":[123],"Pattern":[124],"(FP)":[125],"Growth":[126],"algorithm.":[127],"Thereafter,":[128],"existence":[130],"those":[132],"couples":[136],"was":[137],"checked":[138],"fed":[140],"into":[141],"a":[142],"multi-layered,":[143],"K-fold":[144],"cross-validated":[145],"neural":[146],"network":[147],"model":[148],"predict":[150],"whether":[151],"APK":[153],"or":[156],"benignware.":[157],"Simultaneously,":[158],"five":[159],"other":[160],"traditional":[161],"machine":[162],"learning":[163],"models":[164,177],"also":[166],"applied":[168],"benchmark":[170],"results.":[172],"The":[173,204],"outcome":[174],"these":[176],"measured":[179],"with":[180,229],"various":[181],"well-known":[182,216],"metrics":[183],"like":[184],"Accuracy,":[185],"Precision,":[186],"Recall,":[187],"Loss,":[188],"Specificity,":[189],"F1":[190],"Score,":[191],"Receiver":[192],"Operating":[193],"Characteristic":[194],"(ROC)":[195],"curve,":[196],"Negative":[197],"Predictive":[198],"Value,":[199],"Mathew\u2019s":[201],"Correlation":[202],"Coefficient.":[203],"experimental":[205],"evaluation":[206],"proposed":[209],"methodology":[210],"shows":[211],"better":[212],"performance":[213],"on":[214,222],"Drebin":[217],"dataset":[218,228],"as":[219,221],"well":[220],"last":[224],"5":[225],"years":[226],"customized":[227],"accuracy":[231],"over":[233],"96%.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}