{"id":"https://openalex.org/W4285813886","doi":"https://doi.org/10.1109/iwcmc55113.2022.9824985","title":"Towards Multi-view Android Malware Detection Through Image-based Deep Learning","display_name":"Towards Multi-view Android Malware Detection Through Image-based Deep Learning","publication_year":2022,"publication_date":"2022-05-30","ids":{"openalex":"https://openalex.org/W4285813886","doi":"https://doi.org/10.1109/iwcmc55113.2022.9824985"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc55113.2022.9824985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc55113.2022.9824985","pdf_url":null,"source":{"id":"https://openalex.org/S4363605313","display_name":"2022 International Wireless Communications and Mobile Computing (IWCMC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5009894279","display_name":"Jhonatan Geremias","orcid":"https://orcid.org/0009-0007-7631-497X"},"institutions":[{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jhonatan Geremias","raw_affiliation_strings":["Pontificia Universidade Catolica do Parana (PUCPR) - Graduate Program in Computer Science (PPGIa),Brazil","Pontificia Universidade Catolica do Parana (PUCPR) - Graduate Program in Computer Science (PPGIa), Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pontificia Universidade Catolica do Parana (PUCPR) - Graduate Program in Computer Science (PPGIa),Brazil","institution_ids":["https://openalex.org/I176838256"]},{"raw_affiliation_string":"Pontificia Universidade Catolica do Parana (PUCPR) - Graduate Program in Computer Science (PPGIa), Brazil","institution_ids":["https://openalex.org/I176838256"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061101324","display_name":"Eduardo K. Viegas","orcid":"https://orcid.org/0000-0002-5050-6363"},"institutions":[{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]},{"id":"https://openalex.org/I4210087059","display_name":"Technology Innovation Institute","ror":"https://ror.org/001kv2y39","country_code":"AE","type":"facility","lineage":["https://openalex.org/I4210087059"]}],"countries":["AE","BR"],"is_corresponding":false,"raw_author_name":"Eduardo K. Viegas","raw_affiliation_strings":["Pontificia Universidade Catolica do Parana (PUCPR) - Graduate Program in Computer Science (PPGIa),Brazil","Pontificia Universidade Catolica do Parana (PUCPR) - Graduate Program in Computer Science (PPGIa), Brazil","Secure Systems Research Center - Technology Innovation Institute (TII), Abu Dhabi"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pontificia Universidade Catolica do Parana (PUCPR) - Graduate Program in Computer Science (PPGIa),Brazil","institution_ids":["https://openalex.org/I176838256"]},{"raw_affiliation_string":"Pontificia Universidade Catolica do Parana (PUCPR) - Graduate Program in Computer Science (PPGIa), Brazil","institution_ids":["https://openalex.org/I176838256"]},{"raw_affiliation_string":"Secure Systems Research Center - Technology Innovation Institute (TII), Abu Dhabi","institution_ids":["https://openalex.org/I4210087059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073025551","display_name":"Altair O. Santin","orcid":"https://orcid.org/0000-0002-2341-2177"},"institutions":[{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Altair O. Santin","raw_affiliation_strings":["Pontificia Universidade Catolica do Parana (PUCPR) - Graduate Program in Computer Science (PPGIa),Brazil","Pontificia Universidade Catolica do Parana (PUCPR) - Graduate Program in Computer Science (PPGIa), Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pontificia Universidade Catolica do Parana (PUCPR) - Graduate Program in Computer Science (PPGIa),Brazil","institution_ids":["https://openalex.org/I176838256"]},{"raw_affiliation_string":"Pontificia Universidade Catolica do Parana (PUCPR) - Graduate Program in Computer Science (PPGIa), Brazil","institution_ids":["https://openalex.org/I176838256"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017591391","display_name":"Alceu de Souza Britto","orcid":"https://orcid.org/0000-0002-3064-3563"},"institutions":[{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alceu Britto","raw_affiliation_strings":["Pontificia Universidade Catolica do Parana (PUCPR) - Graduate Program in Computer Science (PPGIa),Brazil","Pontificia Universidade Catolica do Parana (PUCPR) - Graduate Program in Computer Science (PPGIa), Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pontificia Universidade Catolica do Parana (PUCPR) - Graduate Program in Computer Science (PPGIa),Brazil","institution_ids":["https://openalex.org/I176838256"]},{"raw_affiliation_string":"Pontificia Universidade Catolica do Parana (PUCPR) - Graduate Program in Computer Science (PPGIa), Brazil","institution_ids":["https://openalex.org/I176838256"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081563242","display_name":"Pedro Horchulhack","orcid":"https://orcid.org/0009-0002-3036-0210"},"institutions":[{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Pedro Horchulhack","raw_affiliation_strings":["Pontificia Universidade Catolica do Parana (PUCPR) - Graduate Program in Computer Science (PPGIa),Brazil","Pontificia Universidade Catolica do Parana (PUCPR) - Graduate Program in Computer Science (PPGIa), Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pontificia Universidade Catolica do Parana (PUCPR) - Graduate Program in Computer Science (PPGIa),Brazil","institution_ids":["https://openalex.org/I176838256"]},{"raw_affiliation_string":"Pontificia Universidade Catolica do Parana (PUCPR) - Graduate Program in Computer Science (PPGIa), Brazil","institution_ids":["https://openalex.org/I176838256"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.1679,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.96891762,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"572","last_page":"577"},"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9785000085830688,"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"}},{"id":"https://openalex.org/T12034","display_name":"Digital and Cyber Forensics","score":0.9593999981880188,"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/malware","display_name":"Malware","score":0.8364760875701904},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8307086825370789},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.795403242111206},{"id":"https://openalex.org/keywords/android-malware","display_name":"Android malware","score":0.7471190094947815},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.636476457118988},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5234174728393555},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5106111168861389},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47923925518989563},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.43069326877593994},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3791516423225403},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34874457120895386},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.30962926149368286},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.19874411821365356},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10511469841003418}],"concepts":[{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.8364760875701904},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8307086825370789},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.795403242111206},{"id":"https://openalex.org/C2989133298","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android malware","level":3,"score":0.7471190094947815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.636476457118988},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5234174728393555},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5106111168861389},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47923925518989563},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.43069326877593994},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3791516423225403},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34874457120895386},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30962926149368286},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.19874411821365356},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10511469841003418}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc55113.2022.9824985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc55113.2022.9824985","pdf_url":null,"source":{"id":"https://openalex.org/S4363605313","display_name":"2022 International Wireless Communications and Mobile Computing (IWCMC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2015790908","https://openalex.org/W2288383743","https://openalex.org/W2896341513","https://openalex.org/W2947576068","https://openalex.org/W2964962196","https://openalex.org/W2992853260","https://openalex.org/W3003422325","https://openalex.org/W3006334803","https://openalex.org/W3036915154","https://openalex.org/W3091722391","https://openalex.org/W3102893897","https://openalex.org/W3103609879","https://openalex.org/W3105429705","https://openalex.org/W3112311055","https://openalex.org/W3118910683","https://openalex.org/W3129282298","https://openalex.org/W3152941721","https://openalex.org/W3187181719","https://openalex.org/W3203801049","https://openalex.org/W3217543726","https://openalex.org/W4205876068","https://openalex.org/W4210302125","https://openalex.org/W4249568083","https://openalex.org/W6743375288","https://openalex.org/W6784472380"],"related_works":["https://openalex.org/W2782775281","https://openalex.org/W4312334973","https://openalex.org/W2560361988","https://openalex.org/W2507113366","https://openalex.org/W2591124010","https://openalex.org/W3200508744","https://openalex.org/W4311848503","https://openalex.org/W3025122950","https://openalex.org/W2717179875","https://openalex.org/W4249118297"],"abstract_inverted_index":{"Over":[0],"the":[1,28,67,71,86,90,94,97,117,175],"last":[2],"years,":[3],"several":[4,58],"works":[5],"have":[6,142],"proposed":[7,170],"highly":[8],"accurate":[9,34],"Android":[10,43,132,140],"malware":[11,16,44,133,179],"detection":[12,35,45],"techniques.":[13],"Surprisingly,":[14],"modern":[15],"apps":[17,53,141],"can":[18],"still":[19],"pave":[20],"their":[21],"way":[22],"to":[23,57,80,153,190],"official":[24],"markets,":[25],"thus,":[26,65],"demanding":[27],"provision":[29],"of":[30,89,119,128,136,151,178,188],"more":[31,182],"robust":[32],"and":[33],"approaches.":[36],"This":[37],"paper":[38],"proposes":[39],"a":[40,62,107,112,125,129,158,185],"new":[41,126,163],"multi-view":[42,63,171],"through":[46],"image-based":[47],"deep":[48,120],"learning,":[49],"implemented":[50,156],"threefold.":[51],"First,":[52],"are":[54,78,103],"evaluated":[55],"according":[56],"feature":[59,76],"sets":[60,77],"in":[61,106,111],"setting,":[64],"increasing":[66],"information":[68,95],"provided":[69],"for":[70,96],"classification":[72,98,176],"task.":[73,99],"Second,":[74],"extracted":[75],"converted":[79],"an":[81],"image":[82,114],"format":[83],"while":[84],"maintaining":[85],"principal":[87],"components":[88],"data":[91],"distribution,":[92],"keeping":[93],"Third,":[100],"built":[101],"images":[102],"jointly":[104],"represented":[105],"single":[108],"shot,":[109],"each":[110],"predefined":[113],"channel,":[115],"enabling":[116],"application":[118],"learning":[121],"architectures.":[122],"Experiments":[123],"on":[124],"version":[127],"publicly":[130],"available":[131],"dataset":[134],"composed":[135],"over":[137],"11":[138],"thousand":[139],"shown":[143],"our":[144,162,169],"proposal's":[145],"feasibility.":[146],"It":[147],"reaches":[148],"true-negative":[149],"rates":[150],"up":[152,189],"99.5%":[154],"when":[155],"with":[157,161],"single-view":[159],"approach":[160],"image-building":[164],"technique.":[165],"In":[166],"addition,":[167],"if":[168],"scheme":[172],"is":[173],"used,":[174],"accuracies":[177],"families":[180],"become":[181],"stable,":[183],"reaching":[184],"true-positive":[186],"rate":[187],"98.7%.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":8}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
