{"id":"https://openalex.org/W2896341513","doi":"https://doi.org/10.1145/3264746.3264780","title":"Android malware detection using convolutional neural networks and data section images","display_name":"Android malware detection using convolutional neural networks and data section images","publication_year":2018,"publication_date":"2018-10-09","ids":{"openalex":"https://openalex.org/W2896341513","doi":"https://doi.org/10.1145/3264746.3264780","mag":"2896341513"},"language":"en","primary_location":{"id":"doi:10.1145/3264746.3264780","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3264746.3264780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems","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/A5000060266","display_name":"Jaemin Jung","orcid":"https://orcid.org/0000-0002-6815-7763"},"institutions":[{"id":"https://openalex.org/I89015989","display_name":"Dankook University","ror":"https://ror.org/058pdbn81","country_code":"KR","type":"education","lineage":["https://openalex.org/I89015989"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jaemin Jung","raw_affiliation_strings":["Dankook University, Yongin, South Korea"],"affiliations":[{"raw_affiliation_string":"Dankook University, Yongin, South Korea","institution_ids":["https://openalex.org/I89015989"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039803598","display_name":"Jongmoo Choi","orcid":"https://orcid.org/0000-0003-2042-6327"},"institutions":[{"id":"https://openalex.org/I89015989","display_name":"Dankook University","ror":"https://ror.org/058pdbn81","country_code":"KR","type":"education","lineage":["https://openalex.org/I89015989"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jongmoo Choi","raw_affiliation_strings":["Dankook University, Yongin, South Korea"],"affiliations":[{"raw_affiliation_string":"Dankook University, Yongin, South Korea","institution_ids":["https://openalex.org/I89015989"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064210973","display_name":"Seong-je Cho","orcid":"https://orcid.org/0000-0001-9917-0429"},"institutions":[{"id":"https://openalex.org/I89015989","display_name":"Dankook University","ror":"https://ror.org/058pdbn81","country_code":"KR","type":"education","lineage":["https://openalex.org/I89015989"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seong-je Cho","raw_affiliation_strings":["Dankook University, Yongin, South Korea"],"affiliations":[{"raw_affiliation_string":"Dankook University, Yongin, South Korea","institution_ids":["https://openalex.org/I89015989"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067982243","display_name":"Sangchul Han","orcid":"https://orcid.org/0000-0001-6100-103X"},"institutions":[{"id":"https://openalex.org/I24062138","display_name":"Konkuk University","ror":"https://ror.org/025h1m602","country_code":"KR","type":"education","lineage":["https://openalex.org/I24062138"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sangchul Han","raw_affiliation_strings":["Konkuk University, Chungbuk, South Korea"],"affiliations":[{"raw_affiliation_string":"Konkuk University, Chungbuk, South Korea","institution_ids":["https://openalex.org/I24062138"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101428284","display_name":"Minkyu Park","orcid":"https://orcid.org/0000-0002-1426-1944"},"institutions":[{"id":"https://openalex.org/I24062138","display_name":"Konkuk University","ror":"https://ror.org/025h1m602","country_code":"KR","type":"education","lineage":["https://openalex.org/I24062138"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minkyu Park","raw_affiliation_strings":["Konkuk University, Chungbuk, South Korea"],"affiliations":[{"raw_affiliation_string":"Konkuk University, Chungbuk, South Korea","institution_ids":["https://openalex.org/I24062138"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040514478","display_name":"Young-Sup Hwang","orcid":"https://orcid.org/0000-0002-8713-9253"},"institutions":[{"id":"https://openalex.org/I51926615","display_name":"Sun Moon University","ror":"https://ror.org/009e5cd49","country_code":"KR","type":"education","lineage":["https://openalex.org/I51926615"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngsup Hwang","raw_affiliation_strings":["Sun Moon University, Chungnam, South Korea"],"affiliations":[{"raw_affiliation_string":"Sun Moon University, Chungnam, South Korea","institution_ids":["https://openalex.org/I51926615"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5000060266"],"corresponding_institution_ids":["https://openalex.org/I89015989"],"apc_list":null,"apc_paid":null,"fwci":2.1469,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.88543393,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"149","last_page":"153"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T12222","display_name":"IoT-based Smart Home Systems","score":0.9674000144004822,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9521999955177307,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.847090482711792},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.727046012878418},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.6640264987945557},{"id":"https://openalex.org/keywords/identifier","display_name":"Identifier","score":0.6216434240341187},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.5953640937805176},{"id":"https://openalex.org/keywords/header","display_name":"Header","score":0.5652478933334351},{"id":"https://openalex.org/keywords/android-malware","display_name":"Android malware","score":0.5576700568199158},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5513970255851746},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.5197646021842957},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.42602959275245667},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4230212867259979},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38709941506385803},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37857532501220703},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3509629964828491},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3389251232147217},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.2364557981491089},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.20133554935455322}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.847090482711792},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.727046012878418},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.6640264987945557},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.6216434240341187},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.5953640937805176},{"id":"https://openalex.org/C48105269","wikidata":"https://www.wikidata.org/wiki/Q1141160","display_name":"Header","level":2,"score":0.5652478933334351},{"id":"https://openalex.org/C2989133298","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android malware","level":3,"score":0.5576700568199158},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5513970255851746},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.5197646021842957},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.42602959275245667},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4230212867259979},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38709941506385803},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37857532501220703},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3509629964828491},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3389251232147217},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.2364557981491089},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.20133554935455322},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3264746.3264780","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3264746.3264780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems","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":8,"referenced_works":["https://openalex.org/W2010065958","https://openalex.org/W2097117768","https://openalex.org/W2117539524","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2274287116","https://openalex.org/W2619516334","https://openalex.org/W6600731917"],"related_works":["https://openalex.org/W4313563103","https://openalex.org/W2945522736","https://openalex.org/W3012546138","https://openalex.org/W2968586400","https://openalex.org/W2964088652","https://openalex.org/W4225292389","https://openalex.org/W3082603384","https://openalex.org/W2792987183","https://openalex.org/W3105429705","https://openalex.org/W4353031795"],"abstract_inverted_index":{"The":[0],"paper":[1],"proposes":[2],"a":[3],"new":[4],"technique":[5,116,155,166],"to":[6,126,143],"detect":[7],"Android":[8,37],"malware":[9,14,74],"effectively":[10],"based":[11],"on":[12,23,94,123],"converting":[13],"binaries":[15],"into":[16,43,87],"images":[17,44,89,96],"and":[18,45,90,111,138,149],"applying":[19],"machine":[20,49,92],"learning":[21,93],"techniques":[22],"those":[24],"images.":[25],"Existing":[26],"research":[27],"converts":[28],"the":[29,52,95,105,118,128,151,164,175,178,184],"whole":[30,129,179],"executable":[31],"files":[32,35,86],"(e.g.,":[33],"DEX":[34,54,85,130,180],"in":[36,146,156],"application":[38],"package)":[39],"of":[40,57,84,153,158],"target":[41],"apps":[42],"uses":[46],"them":[47],"for":[48,73,108],"learning.":[50],"However,":[51],"entire":[53],"file":[55],"(consisting":[56],"header":[58],"section,":[59,61,63],"identifier":[60],"data":[62,66,82,106],"optional":[64],"link":[65],"area,":[67],"etc.)":[68],"might":[69],"contain":[70],"noisy":[71],"information":[72],"detection.":[75],"In":[76],"this":[77],"paper,":[78],"we":[79],"convert":[80],"only":[81,104],"sections":[83,107],"grayscale":[88],"apply":[91,133],"with":[97,170,183],"Convolutional":[98],"Neural":[99],"Networks":[100],"(CNN).":[101],"By":[102],"using":[103,127,177],"5,377":[109],"malicious":[110],"6,249":[112],"benign":[113],"apps,":[114],"our":[115,154],"reduces":[117],"storage":[119,172],"capacity":[120,173],"by":[121],"17.5%":[122],"average":[124],"compared":[125],"files.":[131,181],"We":[132],"two":[134],"CNN":[135],"models,":[136],"Inception-v3":[137],"Inception-ResNet-v2,":[139],"which":[140],"are":[141],"known":[142],"be":[144],"efficient":[145],"image":[147],"processing,":[148],"examine":[150],"effectiveness":[152],"terms":[157],"accuracy.":[159,193],"Experiment":[160],"results":[161],"show":[162],"that":[163],"proposed":[165],"achieves":[167],"better":[168],"accuracy":[169],"smaller":[171],"than":[174],"approach":[176],"Inception-ResNet-v2":[182],"stochastic":[185],"gradient":[186],"descent":[187],"(SGD)":[188],"optimization":[189],"algorithm":[190],"reaches":[191],"98.02%":[192]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
