{"id":"https://openalex.org/W2587002069","doi":"https://doi.org/10.1109/sarnof.2016.7846747","title":"DroidDeepLearner: Identifying Android malware using deep learning","display_name":"DroidDeepLearner: Identifying Android malware using deep learning","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2587002069","doi":"https://doi.org/10.1109/sarnof.2016.7846747","mag":"2587002069"},"language":"en","primary_location":{"id":"doi:10.1109/sarnof.2016.7846747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sarnof.2016.7846747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 37th Sarnoff Symposium","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/A5078821760","display_name":"Zi Wang","orcid":"https://orcid.org/0000-0001-8635-8334"},"institutions":[{"id":"https://openalex.org/I4210104314","display_name":"New York Institute of Technology","ror":"https://ror.org/01bghzb51","country_code":"US","type":"education","lineage":["https://openalex.org/I4210104314"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zi Wang","raw_affiliation_strings":["Department of Computer Science, New York Institute of Technology (NYIT), New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, New York Institute of Technology (NYIT), New York, NY, USA","institution_ids":["https://openalex.org/I4210104314"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109378400","display_name":"Juecong Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104314","display_name":"New York Institute of Technology","ror":"https://ror.org/01bghzb51","country_code":"US","type":"education","lineage":["https://openalex.org/I4210104314"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Juecong Cai","raw_affiliation_strings":["Department of Computer Science, New York Institute of Technology (NYIT), New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, New York Institute of Technology (NYIT), New York, NY, USA","institution_ids":["https://openalex.org/I4210104314"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100562531","display_name":"Cheng Sihua","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104314","display_name":"New York Institute of Technology","ror":"https://ror.org/01bghzb51","country_code":"US","type":"education","lineage":["https://openalex.org/I4210104314"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sihua Cheng","raw_affiliation_strings":["Department of Computer Science, New York Institute of Technology (NYIT), New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, New York Institute of Technology (NYIT), New York, NY, USA","institution_ids":["https://openalex.org/I4210104314"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100660669","display_name":"Wenjia Li","orcid":"https://orcid.org/0000-0001-6059-6422"},"institutions":[{"id":"https://openalex.org/I4210104314","display_name":"New York Institute of Technology","ror":"https://ror.org/01bghzb51","country_code":"US","type":"education","lineage":["https://openalex.org/I4210104314"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenjia Li","raw_affiliation_strings":["Department of Computer Science, New York Institute of Technology (NYIT), New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, New York Institute of Technology (NYIT), New York, NY, USA","institution_ids":["https://openalex.org/I4210104314"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210104314"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":70,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2016","issue":null,"first_page":"160","last_page":"165"},"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":0.9933000206947327,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9904999732971191,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.9349287152290344},{"id":"https://openalex.org/keywords/cryptovirology","display_name":"Cryptovirology","score":0.8140767812728882},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.8094147443771362},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7999610900878906},{"id":"https://openalex.org/keywords/mobile-malware","display_name":"Mobile malware","score":0.6322058439254761},{"id":"https://openalex.org/keywords/android-malware","display_name":"Android malware","score":0.614596426486969},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.560345470905304},{"id":"https://openalex.org/keywords/obfuscation","display_name":"Obfuscation","score":0.5274030566215515},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3919147253036499},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3485468327999115},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1493401825428009}],"concepts":[{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.9349287152290344},{"id":"https://openalex.org/C84525096","wikidata":"https://www.wikidata.org/wiki/Q3506050","display_name":"Cryptovirology","level":3,"score":0.8140767812728882},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.8094147443771362},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7999610900878906},{"id":"https://openalex.org/C2780967490","wikidata":"https://www.wikidata.org/wiki/Q1291200","display_name":"Mobile malware","level":3,"score":0.6322058439254761},{"id":"https://openalex.org/C2989133298","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android malware","level":3,"score":0.614596426486969},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.560345470905304},{"id":"https://openalex.org/C40305131","wikidata":"https://www.wikidata.org/wiki/Q2616305","display_name":"Obfuscation","level":2,"score":0.5274030566215515},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3919147253036499},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3485468327999115},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1493401825428009}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/sarnof.2016.7846747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sarnof.2016.7846747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 37th Sarnoff Symposium","raw_type":"proceedings-article"},{"id":"mag:2753176487","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/20090422/201702219996843535","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","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":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1865564993","https://openalex.org/W1943233084","https://openalex.org/W2003276999","https://openalex.org/W2007857904","https://openalex.org/W2010256880","https://openalex.org/W2041276426","https://openalex.org/W2060692877","https://openalex.org/W2087970742","https://openalex.org/W2114275288","https://openalex.org/W2122672392","https://openalex.org/W2125011234","https://openalex.org/W2136922672","https://openalex.org/W2164539435","https://openalex.org/W2202505358","https://openalex.org/W2399891510","https://openalex.org/W6639024520","https://openalex.org/W6640563219","https://openalex.org/W6676999791","https://openalex.org/W6687515990","https://openalex.org/W6712192629"],"related_works":["https://openalex.org/W2900526031","https://openalex.org/W4296272594","https://openalex.org/W4360993664","https://openalex.org/W2465235098","https://openalex.org/W2470029541","https://openalex.org/W2470502009","https://openalex.org/W2717179875","https://openalex.org/W4249118297","https://openalex.org/W2311926078","https://openalex.org/W4312234627"],"abstract_inverted_index":{"With":[0],"the":[1,16,21,59,75,91,99,120,162,186,195],"proliferation":[2],"of":[3,61,77,93,98],"Android":[4,22,105,149],"apps,":[5],"encounters":[6],"with":[7,36,40,90,177],"malicious":[8,72,135],"apps":[9,136],"(malware)":[10],"by":[11,27],"mobile":[12],"users":[13],"are":[14,25],"on":[15],"rise":[17],"as":[18],"vulnerabilities":[19],"in":[20,43,58],"platform":[23,106],"system":[24],"exploited":[26],"malware":[28,62,65,84,94,101,150,166,199],"authors":[29],"to":[30,87,118,133,160,168,174,194],"access":[31],"personal":[32],"or":[33],"sensitive":[34],"information":[35],"ill":[37],"intentions,":[38],"often":[39],"financial":[41],"gain":[42],"mind.":[44],"To":[45],"uphold":[46],"security":[47],"integrity":[48],"and":[49,152],"maintain":[50],"user":[51],"confidence,":[52],"various":[53],"approaches":[54,103],"have":[55,122,138,183],"been":[56],"studied":[57],"field":[60],"detection.":[63],"As":[64],"become":[66,169],"more":[67,170],"capable":[68],"at":[69,172],"hiding":[70],"its":[71],"intent":[73],"through":[74],"use":[76,107],"code":[78],"obfuscation,":[79],"it":[80,131],"becomes":[81],"imperative":[82],"for":[83,104,165],"detection":[85,102,167,200],"techniques":[86],"keep":[88],"up":[89],"pace":[92],"changes.":[95],"Currently,":[96],"most":[97],"existing":[100,196],"semantic":[108],"pattern":[109],"matching,":[110],"which":[111],"is":[112,116],"highly":[113],"effective":[114],"but":[115],"limited":[117],"what":[119],"computers":[121],"encountered":[123],"before.":[124,141],"However,":[125],"their":[126],"performance":[127,191],"degrades":[128],"significantly":[129],"when":[130,192],"comes":[132],"identifying":[134],"they":[137],"never":[139],"tackled":[140],"In":[142],"this":[143],"paper,":[144],"we":[145],"propose":[146],"DroidDeepLearner,":[147],"an":[148],"characterization":[151],"identification":[153],"approach":[154,188],"that":[155,185],"uses":[156],"deep":[157],"learning":[158,173],"algorithm":[159],"address":[161],"current":[163],"need":[164],"autonomous":[171],"solve":[175],"problems":[176],"less":[178],"human":[179],"intervention.":[180],"Experimental":[181],"results":[182],"shown":[184],"DroidDeepLearner":[187],"achieves":[189],"good":[190],"compared":[193],"widely":[197],"used":[198],"approaches.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
