{"id":"https://openalex.org/W4288780798","doi":"https://doi.org/10.1109/jiot.2022.3194881","title":"An Enhanced Deep Learning Neural Network for the Detection and Identification of Android Malware","display_name":"An Enhanced Deep Learning Neural Network for the Detection and Identification of Android Malware","publication_year":2022,"publication_date":"2022-07-29","ids":{"openalex":"https://openalex.org/W4288780798","doi":"https://doi.org/10.1109/jiot.2022.3194881"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2022.3194881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2022.3194881","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"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 Internet of Things Journal","raw_type":"journal-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/A5072472657","display_name":"Pakarat Musikawan","orcid":"https://orcid.org/0000-0001-5315-751X"},"institutions":[{"id":"https://openalex.org/I179193067","display_name":"Khon Kaen University","ror":"https://ror.org/03cq4gr50","country_code":"TH","type":"education","lineage":["https://openalex.org/I179193067"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Pakarat Musikawan","raw_affiliation_strings":["Department of Computer Science, College of Computing, Khon Kaen University, Khon Kaen, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, College of Computing, Khon Kaen University, Khon Kaen, Thailand","institution_ids":["https://openalex.org/I179193067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000349603","display_name":"Yanika Kongsorot","orcid":"https://orcid.org/0000-0002-2603-0879"},"institutions":[{"id":"https://openalex.org/I179193067","display_name":"Khon Kaen University","ror":"https://ror.org/03cq4gr50","country_code":"TH","type":"education","lineage":["https://openalex.org/I179193067"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Yanika Kongsorot","raw_affiliation_strings":["Department of Computer Science, College of Computing, Khon Kaen University, Khon Kaen, Thailand"],"raw_orcid":"https://orcid.org/0000-0002-2603-0879","affiliations":[{"raw_affiliation_string":"Department of Computer Science, College of Computing, Khon Kaen University, Khon Kaen, Thailand","institution_ids":["https://openalex.org/I179193067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017792460","display_name":"Ilsun You","orcid":"https://orcid.org/0000-0002-0604-3445"},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ilsun You","raw_affiliation_strings":["Department of Information Security Engineering, Cryptology and Mathematics, Kookmin University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-0604-3445","affiliations":[{"raw_affiliation_string":"Department of Information Security Engineering, Cryptology and Mathematics, Kookmin University, Seoul, South Korea","institution_ids":["https://openalex.org/I110273157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055624785","display_name":"Chakchai So\u2013In","orcid":"https://orcid.org/0000-0003-1026-191X"},"institutions":[{"id":"https://openalex.org/I179193067","display_name":"Khon Kaen University","ror":"https://ror.org/03cq4gr50","country_code":"TH","type":"education","lineage":["https://openalex.org/I179193067"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Chakchai So-In","raw_affiliation_strings":["Department of Computer Science, College of Computing, Khon Kaen University, Khon Kaen, Thailand"],"raw_orcid":"https://orcid.org/0000-0003-1026-191X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, College of Computing, Khon Kaen University, Khon Kaen, Thailand","institution_ids":["https://openalex.org/I179193067"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072472657"],"corresponding_institution_ids":["https://openalex.org/I179193067"],"apc_list":null,"apc_paid":null,"fwci":7.5884,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.98173783,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"10","issue":"10","first_page":"8560","last_page":"8577"},"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":0.9991999864578247,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.989799976348877,"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/computer-science","display_name":"Computer science","score":0.8018423318862915},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.7014409303665161},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6758953928947449},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.6689401865005493},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6283082962036133},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6097184419631958},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6069446802139282},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5466797947883606},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.42820632457733154},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1635379195213318},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.12343594431877136}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8018423318862915},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.7014409303665161},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6758953928947449},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.6689401865005493},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6283082962036133},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6097184419631958},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6069446802139282},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5466797947883606},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.42820632457733154},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1635379195213318},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.12343594431877136}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2022.3194881","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2022.3194881","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2267471865","display_name":null,"funder_award_id":"IRN61W0006","funder_id":"https://openalex.org/F4320322817","funder_display_name":"National Research Council of Thailand"}],"funders":[{"id":"https://openalex.org/F4320322335","display_name":"Khon Kaen University","ror":"https://ror.org/03cq4gr50"},{"id":"https://openalex.org/F4320322817","display_name":"National Research Council of Thailand","ror":"https://ror.org/018wfhg78"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":95,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W97540112","https://openalex.org/W640073161","https://openalex.org/W1522301498","https://openalex.org/W1677182931","https://openalex.org/W1966716816","https://openalex.org/W1968597682","https://openalex.org/W2010256880","https://openalex.org/W2015086755","https://openalex.org/W2026131661","https://openalex.org/W2040604977","https://openalex.org/W2060537671","https://openalex.org/W2069564486","https://openalex.org/W2076063813","https://openalex.org/W2079224763","https://openalex.org/W2093358140","https://openalex.org/W2093912930","https://openalex.org/W2095470000","https://openalex.org/W2097117768","https://openalex.org/W2099579348","https://openalex.org/W2109094355","https://openalex.org/W2109553965","https://openalex.org/W2111388763","https://openalex.org/W2113242816","https://openalex.org/W2145467382","https://openalex.org/W2146502635","https://openalex.org/W2168894214","https://openalex.org/W2215444025","https://openalex.org/W2244486986","https://openalex.org/W2298229910","https://openalex.org/W2578980197","https://openalex.org/W2625694104","https://openalex.org/W2765833400","https://openalex.org/W2770591034","https://openalex.org/W2789717563","https://openalex.org/W2791879367","https://openalex.org/W2865675487","https://openalex.org/W2903382683","https://openalex.org/W2913598076","https://openalex.org/W2922526186","https://openalex.org/W2931858311","https://openalex.org/W2946525659","https://openalex.org/W2962847207","https://openalex.org/W2963380291","https://openalex.org/W2963568027","https://openalex.org/W2963777745","https://openalex.org/W2964055987","https://openalex.org/W2986055611","https://openalex.org/W2997690675","https://openalex.org/W3004876557","https://openalex.org/W3013056767","https://openalex.org/W3023212902","https://openalex.org/W3023529621","https://openalex.org/W3027678336","https://openalex.org/W3034772996","https://openalex.org/W3048836559","https://openalex.org/W3089189066","https://openalex.org/W3091722391","https://openalex.org/W3092504984","https://openalex.org/W3094190102","https://openalex.org/W3095781263","https://openalex.org/W3097251131","https://openalex.org/W3118338452","https://openalex.org/W3124340574","https://openalex.org/W3125415690","https://openalex.org/W3128257486","https://openalex.org/W3129623658","https://openalex.org/W3130490915","https://openalex.org/W3134149831","https://openalex.org/W3134817226","https://openalex.org/W3136021864","https://openalex.org/W3137064386","https://openalex.org/W3145971023","https://openalex.org/W3155839992","https://openalex.org/W3162825625","https://openalex.org/W3163684853","https://openalex.org/W3166413374","https://openalex.org/W3171963620","https://openalex.org/W3172909833","https://openalex.org/W3173369353","https://openalex.org/W3174909610","https://openalex.org/W3186905678","https://openalex.org/W3194192366","https://openalex.org/W3199952334","https://openalex.org/W3210231570","https://openalex.org/W4206739508","https://openalex.org/W6600284362","https://openalex.org/W6631190155","https://openalex.org/W6681435938","https://openalex.org/W6684665197","https://openalex.org/W6745378982","https://openalex.org/W6757107679","https://openalex.org/W6772381481","https://openalex.org/W6780226713","https://openalex.org/W6793003179"],"related_works":["https://openalex.org/W2097492617","https://openalex.org/W2753240997","https://openalex.org/W1764168690","https://openalex.org/W2537959205","https://openalex.org/W2740895074","https://openalex.org/W2772446090","https://openalex.org/W3152891574","https://openalex.org/W2717179875","https://openalex.org/W4249118297","https://openalex.org/W4312334973"],"abstract_inverted_index":{"Android-based":[0],"mobile":[1],"devices":[2,92],"have":[3,61],"attracted":[4],"a":[5,18,112,117,134,156],"large":[6],"number":[7],"of":[8,21,24,31,48,74,166,179,193],"users":[9],"because":[10],"they":[11],"are":[12,130],"easy":[13],"to":[14,38,44,65,89,132,171],"use":[15],"and":[16,52,154,205],"possess":[17],"wide":[19],"range":[20],"capabilities.":[22,69],"Because":[23],"its":[25],"popularity,":[26],"Android":[27,49,91],"has":[28],"become":[29,62],"one":[30],"the":[32,45,72,106,122,138,148,163,172,180,194],"most":[33],"important":[34],"platforms":[35],"for":[36],"attackers":[37],"launch":[39],"their":[40,66],"nefarious":[41],"schemes.":[42],"Due":[43],"rising":[46],"sophistication":[47],"malware":[50,58],"obfuscation":[51],"detection":[53,59],"avoidance":[54],"tactics,":[55],"many":[56],"traditional":[57],"approaches":[60],"impractical":[63],"due":[64],"limited":[67],"representation":[68,78,146],"Inspired":[70],"by":[71,161],"success":[73],"deep":[75,86,118],"learning":[76],"in":[77,191],"learning,":[79],"this":[80],"article":[81],"presents":[82],"an":[83,143],"effective":[84,144],"improved":[85],"neural":[87,119],"network":[88],"safeguard":[90],"from":[93,105,126,147],"malicious":[94],"apps":[95],"called":[96],"AMDI-Droid.":[97],"The":[98,176],"presented":[99],"approach":[100],"contains":[101],"three":[102],"enhancements:":[103],"1)":[104],"ensemble":[107],"classifier":[108,169],"perspective,":[109],"we":[110],"propose":[111],"new":[113],"architecture":[114],"based":[115],"on":[116],"network,":[120],"where":[121],"predictive":[123,164],"outputs":[124],"obtained":[125],"all":[127],"hidden":[128,140,174],"layers":[129],"blended":[131],"produce":[133],"final":[135],"prediction;":[136],"2)":[137],"first":[139],"layer":[141],"learns":[142],"feature":[145],"original":[149],"data":[150],"through":[151],"multiple":[152],"subnetworks;":[153],"3)":[155],"loss":[157,165],"function":[158],"is":[159,183],"formulated":[160],"combining":[162],"each":[167],"base":[168],"connected":[170],"corresponding":[173],"layer.":[175],"superior":[177],"performance":[178],"proposed":[181],"model":[182],"verified":[184],"via":[185],"intensive":[186],"evaluations":[187],"against":[188],"state-of-the-art":[189],"techniques":[190],"terms":[192],"accuracy,":[195],"precision,":[196],"recall,":[197],"<inline-formula":[198],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[199],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[200],"<tex-math":[201],"notation=\"LaTeX\">$F1$":[202],"</tex-math></inline-formula>":[203],"-score,":[204],"Matthews":[206],"correlation":[207],"coefficient":[208],"(MCC)":[209],"metrics.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
