{"id":"https://openalex.org/W7163190816","doi":"https://doi.org/10.1002/cpe.70798","title":"FEDWID roid: Android Malware Classification Based on Feature Embedding, Dynamic Weighting, and Interaction","display_name":"FEDWID roid: Android Malware Classification Based on Feature Embedding, Dynamic Weighting, and Interaction","publication_year":2026,"publication_date":"2026-06-01","ids":{"openalex":"https://openalex.org/W7163190816","doi":"https://doi.org/10.1002/cpe.70798"},"language":"en","primary_location":{"id":"doi:10.1002/cpe.70798","doi":"https://doi.org/10.1002/cpe.70798","is_oa":false,"landing_page_url":"https://doi.org/10.1002/cpe.70798","pdf_url":null,"source":{"id":"https://openalex.org/S11065456","display_name":"Concurrency and Computation Practice and Experience","issn_l":"1532-0626","issn":["1532-0626","1532-0634"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-c","cwts-core","dongbi-d","jufo-1","norway-1","poland-100","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Concurrency and Computation: Practice and Experience","raw_type":"journal-article"},"volume":null,"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/A5078519973","display_name":"Wei Liang","orcid":"https://orcid.org/0000-0002-5074-1363","observed_orcids":["https://orcid.org/0000-0002-5074-1363","https://orcid.org/0000-0003-4909-4629","https://orcid.org/0000-0003-3813-3223","https://orcid.org/0009-0007-1290-9210"]},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liang","raw_affiliation_strings":["Department of Computer Science and Technology Shantou University  Shantou China"],"raw_orcid":"https://orcid.org/0009-0007-1290-9210","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology Shantou University  Shantou China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111061992","display_name":"Zhi Xiong","orcid":"https://orcid.org/0000-0002-8041-3627","observed_orcids":["https://orcid.org/0000-0002-8041-3627","https://orcid.org/0000-0003-4619-4384"]},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhi Xiong","raw_affiliation_strings":["Department of Computer Science and Technology Shantou University  Shantou China","Key Laboratory of Intelligent Manufacturing Technology (Shantou University), Ministry of Education Shantou University  Shantou China"],"raw_orcid":"https://orcid.org/0000-0002-8041-3627","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology Shantou University  Shantou China","institution_ids":["https://openalex.org/I32574673"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Manufacturing Technology (Shantou University), Ministry of Education Shantou University  Shantou China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079104122","display_name":"Lingru Cai","orcid":"https://orcid.org/0000-0001-8695-278X","observed_orcids":["https://orcid.org/0000-0001-8695-278X"]},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingru Cai","raw_affiliation_strings":["Department of Computer Science and Technology Shantou University  Shantou China","Key Laboratory of Intelligent Manufacturing Technology (Shantou University), Ministry of Education Shantou University  Shantou China"],"raw_orcid":"https://orcid.org/0000-0001-8695-278X","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology Shantou University  Shantou China","institution_ids":["https://openalex.org/I32574673"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Manufacturing Technology (Shantou University), Ministry of Education Shantou University  Shantou China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5156030419","display_name":"Jianlong Xu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianlong Xu","raw_affiliation_strings":["Department of Computer Science and Technology Shantou University  Shantou China","Key Laboratory of Intelligent Manufacturing Technology (Shantou University), Ministry of Education Shantou University  Shantou China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology Shantou University  Shantou China","institution_ids":["https://openalex.org/I32574673"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Manufacturing Technology (Shantou University), Ministry of Education Shantou University  Shantou China","institution_ids":["https://openalex.org/I32574673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5111061992"],"corresponding_institution_ids":["https://openalex.org/I32574673"],"apc_list":{"value":5140,"currency":"USD","value_usd":5140},"apc_paid":null,"fwci":8.3822,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.97781339,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"38","issue":"11","first_page":null,"last_page":null},"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/T11644","display_name":"Spam and Phishing Detection","score":0.0,"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/T11424","display_name":"Security and Verification in Computing","score":0.0,"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/android-malware-classification","display_name":"Android malware classification","score":0.9679999947547913},{"id":"https://openalex.org/keywords/malware-detection","display_name":"malware detection","score":0.8209999799728394},{"id":"https://openalex.org/keywords/feature-embedding","display_name":"feature embedding","score":0.972000002861023},{"id":"https://openalex.org/keywords/dynamic-feature-weighting","display_name":"dynamic feature weighting","score":0.8529999852180481},{"id":"https://openalex.org/keywords/feature-interaction","display_name":"feature interaction","score":0.7509999871253967},{"id":"https://openalex.org/keywords/gating-mechanism","display_name":"gating mechanism","score":0.6610000133514404},{"id":"https://openalex.org/keywords/attention-mechanism","display_name":"attention mechanism","score":0.9990000128746033},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.746999979019165},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"multilayer perceptron","score":0.800000011920929}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8622000217437744},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.7059999704360962},{"id":"https://openalex.org/C2989133298","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android malware","level":3,"score":0.7010999917984009},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.6532999873161316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.51419997215271},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49559998512268066},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4878000020980835},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.444599986076355},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4401000142097473},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.414900004863739},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.41370001435279846},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38089999556541443},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.36340001225471497},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.35850000381469727},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.3125},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.30059999227523804},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.2964000105857849},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.29350000619888306},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C2779395397","wikidata":"https://www.wikidata.org/wiki/Q15731404","display_name":"Malware analysis","level":3,"score":0.2644999921321869},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.26350000500679016},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.2597000002861023},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/cpe.70798","doi":"https://doi.org/10.1002/cpe.70798","is_oa":false,"landing_page_url":"https://doi.org/10.1002/cpe.70798","pdf_url":null,"source":{"id":"https://openalex.org/S11065456","display_name":"Concurrency and Computation Practice and Experience","issn_l":"1532-0626","issn":["1532-0626","1532-0634"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-c","cwts-core","dongbi-d","jufo-1","norway-1","poland-100","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Concurrency and Computation: Practice and Experience","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W2614347723","https://openalex.org/W2791949604","https://openalex.org/W2904565725","https://openalex.org/W3042454706","https://openalex.org/W3089618261","https://openalex.org/W3092817161","https://openalex.org/W3208499662","https://openalex.org/W3213610575","https://openalex.org/W3216873842","https://openalex.org/W4220987924","https://openalex.org/W4282582195","https://openalex.org/W4285293538","https://openalex.org/W4292595874","https://openalex.org/W4320728537","https://openalex.org/W4322703514","https://openalex.org/W4367597381","https://openalex.org/W4388001228","https://openalex.org/W4390820954","https://openalex.org/W4391886995","https://openalex.org/W4392179710","https://openalex.org/W4393589690","https://openalex.org/W4399208051","https://openalex.org/W4399245730","https://openalex.org/W4401174130","https://openalex.org/W4403277278","https://openalex.org/W4408716303","https://openalex.org/W4408800844","https://openalex.org/W4409885654","https://openalex.org/W4410063119","https://openalex.org/W4411086510","https://openalex.org/W4412616751","https://openalex.org/W4416404634","https://openalex.org/W4417054020","https://openalex.org/W4417054027","https://openalex.org/W7114801321"],"related_works":[],"abstract_inverted_index":{"ABSTRACT":[0],"The":[1,135,189],"threats":[2,18],"posed":[3],"by":[4,199],"Android":[5,28,48,65],"malware":[6,29,49,209],"are":[7,62,105,125],"becoming":[8],"increasingly":[9],"serious,":[10],"and":[11,14,40,55,83,87,102,118,127,137,144,175,183,191,206,211,219,224,228,230],"accurate":[12],"detection":[13,210,218],"classification":[15,30,50,187,212,220],"of":[16,46,59,72,90,115,148,185,193,222],"such":[17],"is":[19,75,93],"critical":[20],"in":[21],"cybersecurity.":[22],"This":[23],"study":[24],"proposes":[25],"a":[26,88,96,130],"new":[27],"method":[31,196,216],"called":[32],"FEDWIDroid":[33],"based":[34],"on":[35,202,226,232],"feature":[36,53,157,177],"embedding,":[37],"dynamic":[38],"weighting,":[39],"interaction":[41],"that":[42],"addresses":[43],"the":[44,70,80,84,108,116,122,145,149,164,181,186,194,214],"shortcomings":[45],"existing":[47],"methods":[51],"concerning":[52],"weighting":[54],"interaction.":[56],"Seven":[57],"types":[58],"binary":[60],"features":[61,74,92,110,124,161],"extracted":[63],"from":[64],"installation":[66],"package":[67],"files.":[68],"Next,":[69],"importance":[71],"these":[73],"evaluated":[76],"using":[77,95],"information":[78,174],"gain,":[79],"chi\u2010square":[81],"test,":[82],"Gini":[85],"coefficient,":[86],"subset":[89],"important":[91],"selected":[94],"reciprocal":[97],"ranking":[98],"fusion":[99],"method.":[100],"Gating":[101],"attention":[103,138],"mechanisms":[104,139,170],"applied":[106],"to":[107,111],"embedded":[109],"perform":[112],"weighted":[113],"processing":[114],"first\u2010":[117],"second\u2010order":[119,160],"features.":[120,168],"Finally,":[121],"processed":[123],"concatenated":[126],"input":[128],"into":[129],"multilayer":[131],"perceptron":[132],"for":[133],"classification.":[134],"gating":[136],"dynamically":[140],"weigh":[141],"each":[142],"element":[143],"overall":[146],"structure":[147],"feature\u2010embedding":[150],"vector,":[151],"respectively.":[152,234],"Feature":[153],"embeddings":[154],"encapsulate":[155],"implicit":[156],"interactions,":[158,178],"whereas":[159],"directly":[162],"model":[163],"explicit":[165],"interactions":[166],"between":[167],"These":[169],"can":[171],"capture":[172],"contextual":[173],"complex":[176],"thereby":[179],"enhancing":[180],"performance":[182],"generalizability":[184],"model.":[188],"feasibility":[190],"effectiveness":[192],"proposed":[195,215],"were":[197],"validated":[198],"extensive":[200],"testing":[201],"public":[203],"datasets":[204],"CICMalDroid2020":[205,227],"CICMalAnal2017.":[207],"For":[208],"tasks,":[213],"achieved":[217],"accuracies":[221],"98.92%":[223],"97.16%":[225],"97.12%":[229],"90.59%":[231],"CICMalAnal2017,":[233]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2026-06-03T00:00:00"}
