{"id":"https://openalex.org/W4415744030","doi":"https://doi.org/10.1109/qrs-c65679.2025.00107","title":"A Hybrid Analysis Method for Android Malware Classification based on Static and Dynamic Features with Machine Learning","display_name":"A Hybrid Analysis Method for Android Malware Classification based on Static and Dynamic Features with Machine Learning","publication_year":2025,"publication_date":"2025-07-16","ids":{"openalex":"https://openalex.org/W4415744030","doi":"https://doi.org/10.1109/qrs-c65679.2025.00107"},"language":null,"primary_location":{"id":"doi:10.1109/qrs-c65679.2025.00107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qrs-c65679.2025.00107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 25th International Conference on Software Quality, Reliability, and Security Companion (QRS-C)","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/A5108480072","display_name":"Xinping Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]},{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xinping Shi","raw_affiliation_strings":["School of Computer Science & Communication Engineering, Jiangsu University,Zhenjiang,China,212013"],"affiliations":[{"raw_affiliation_string":"School of Computer Science & Communication Engineering, Jiangsu University,Zhenjiang,China,212013","institution_ids":["https://openalex.org/I115592961","https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063671391","display_name":"Jinfu Chen","orcid":"https://orcid.org/0000-0002-3124-5452"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]},{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinfu Chen","raw_affiliation_strings":["School of Computer Science & Communication Engineering, Jiangsu University,Zhenjiang,China,212013"],"affiliations":[{"raw_affiliation_string":"School of Computer Science & Communication Engineering, Jiangsu University,Zhenjiang,China,212013","institution_ids":["https://openalex.org/I115592961","https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103263037","display_name":"Chaojie Wu","orcid":"https://orcid.org/0000-0002-1705-5425"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]},{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaojie Wu","raw_affiliation_strings":["School of Computer Science & Communication Engineering, Jiangsu University,Zhenjiang,China,212013"],"affiliations":[{"raw_affiliation_string":"School of Computer Science & Communication Engineering, Jiangsu University,Zhenjiang,China,212013","institution_ids":["https://openalex.org/I115592961","https://openalex.org/I4210096899"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050920580","display_name":"Rexford Nii Ayitey Sosu","orcid":"https://orcid.org/0000-0001-5527-5114"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]},{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rexford Nii Ayitey Sosu","raw_affiliation_strings":["School of Computer Science & Communication Engineering, Jiangsu University,Zhenjiang,China,212013"],"affiliations":[{"raw_affiliation_string":"School of Computer Science & Communication Engineering, Jiangsu University,Zhenjiang,China,212013","institution_ids":["https://openalex.org/I115592961","https://openalex.org/I4210096899"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108480072"],"corresponding_institution_ids":["https://openalex.org/I115592961","https://openalex.org/I4210096899"],"apc_list":null,"apc_paid":null,"fwci":1.61,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.87865344,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"784","last_page":"785"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9962000250816345,"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":0.9962000250816345,"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/T12034","display_name":"Digital and Cyber Forensics","score":0.000699999975040555,"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/T11644","display_name":"Spam and Phishing Detection","score":0.0006000000284984708,"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/static-analysis","display_name":"Static analysis","score":0.8452000021934509},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.8424999713897705},{"id":"https://openalex.org/keywords/android-malware","display_name":"Android malware","score":0.8136000037193298},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5942999720573425},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.5436999797821045},{"id":"https://openalex.org/keywords/malware-analysis","display_name":"Malware analysis","score":0.5300999879837036},{"id":"https://openalex.org/keywords/static-program-analysis","display_name":"Static program analysis","score":0.44029998779296875}],"concepts":[{"id":"https://openalex.org/C97686452","wikidata":"https://www.wikidata.org/wiki/Q7604153","display_name":"Static analysis","level":2,"score":0.8452000021934509},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.8424999713897705},{"id":"https://openalex.org/C2989133298","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android malware","level":3,"score":0.8136000037193298},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7925999760627747},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5942999720573425},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5916000008583069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5447999835014343},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.5436999797821045},{"id":"https://openalex.org/C2779395397","wikidata":"https://www.wikidata.org/wiki/Q15731404","display_name":"Malware analysis","level":3,"score":0.5300999879837036},{"id":"https://openalex.org/C137287247","wikidata":"https://www.wikidata.org/wiki/Q1329550","display_name":"Static program analysis","level":4,"score":0.44029998779296875},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4251999855041504},{"id":"https://openalex.org/C115168132","wikidata":"https://www.wikidata.org/wiki/Q55813","display_name":"Machine code","level":3,"score":0.42289999127388},{"id":"https://openalex.org/C84525096","wikidata":"https://www.wikidata.org/wiki/Q3506050","display_name":"Cryptovirology","level":3,"score":0.3564000129699707},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3538999855518341},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3188999891281128},{"id":"https://openalex.org/C2778579508","wikidata":"https://www.wikidata.org/wiki/Q722192","display_name":"System call","level":2,"score":0.30469998717308044},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.29739999771118164}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/qrs-c65679.2025.00107","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qrs-c65679.2025.00107","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 25th International Conference on Software Quality, Reliability, and Security Companion (QRS-C)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2343325785","https://openalex.org/W3217106336","https://openalex.org/W4379033774","https://openalex.org/W4401074733","https://openalex.org/W4403601378","https://openalex.org/W4408283181"],"related_works":[],"abstract_inverted_index":{"The":[0],"rising":[1],"prevalence":[2],"of":[3,64],"Android":[4],"malware":[5,65,101],"poses":[6],"a":[7,49,96],"substantial":[8],"threat":[9],"to":[10,58],"user":[11],"privacy":[12],"and":[13,55,62,78,91],"security.":[14],"Traditional":[15],"detection":[16,89],"approaches,":[17],"which":[18],"depend":[19],"exclusively":[20],"on":[21],"either":[22],"static":[23,30,54],"or":[24],"dynamic":[25,39,56],"analysis,":[26],"exhibit":[27],"inherent":[28],"limitations:":[29],"analysis":[31,40,51],"can":[32],"be":[33],"undermined":[34],"by":[35],"code":[36,76],"obfuscation,":[37],"while":[38],"may":[41],"miss":[42],"certain":[43],"malicious":[44],"behaviors.":[45],"This":[46],"paper":[47],"proposes":[48],"hybrid":[50],"method":[52],"combining":[53],"features":[57,73],"enhance":[59],"the":[60],"accuracy":[61,90],"robustness":[63],"classification.":[66],"Leveraging":[67],"machine":[68],"learning,":[69],"this":[70],"approach":[71,98],"integrates":[72],"derived":[74],"from":[75],"structure":[77],"runtime":[79],"behavior,":[80],"enabling":[81],"more":[82],"comprehensive":[83],"detection.":[84],"Experimental":[85],"results":[86],"confirm":[87],"improved":[88],"reduced":[92],"false":[93],"positives,":[94],"indicating":[95],"promising":[97],"against":[99],"evolving":[100],"threats.":[102]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-31T00:00:00"}