{"id":"https://openalex.org/W2919279077","doi":"https://doi.org/10.1109/tencon.2018.8650372","title":"Mobile Application Network Behavior Detection and Evaluation with WGAN and Bi-LSTM","display_name":"Mobile Application Network Behavior Detection and Evaluation with WGAN and Bi-LSTM","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2919279077","doi":"https://doi.org/10.1109/tencon.2018.8650372","mag":"2919279077"},"language":"en","primary_location":{"id":"doi:10.1109/tencon.2018.8650372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2018.8650372","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2018 - 2018 IEEE Region 10 Conference","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/A5028539723","display_name":"Songjie Wei","orcid":"https://orcid.org/0000-0003-4086-1334"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Songjie Wei","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015229717","display_name":"Pengfei Jiang","orcid":"https://orcid.org/0000-0001-6832-7462"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Jiang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040615066","display_name":"Qiuzhuang Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuzhuang Yuan","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101614934","display_name":"Jiahe Wang","orcid":"https://orcid.org/0009-0008-6321-140X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahe Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028539723"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":0.4954,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.66346218,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9998000264167786,"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":0.9994999766349792,"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":0.8479024767875671},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.611858606338501},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6112204194068909},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.5909048318862915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5607208609580994},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5488643050193787},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.48853930830955505},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4760708212852478},{"id":"https://openalex.org/keywords/mobile-malware","display_name":"Mobile malware","score":0.4564956724643707},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4037743806838989},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.36014461517333984},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08542710542678833}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8479024767875671},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.611858606338501},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6112204194068909},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.5909048318862915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5607208609580994},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5488643050193787},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.48853930830955505},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4760708212852478},{"id":"https://openalex.org/C2780967490","wikidata":"https://www.wikidata.org/wiki/Q1291200","display_name":"Mobile malware","level":3,"score":0.4564956724643707},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4037743806838989},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.36014461517333984},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08542710542678833}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon.2018.8650372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2018.8650372","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2018 - 2018 IEEE Region 10 Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1616720564","https://openalex.org/W2088476668","https://openalex.org/W2125389028","https://openalex.org/W2141701587","https://openalex.org/W2149274049","https://openalex.org/W2173520492","https://openalex.org/W2335999708","https://openalex.org/W2388790218","https://openalex.org/W2591788621","https://openalex.org/W2781850624","https://openalex.org/W2963684088","https://openalex.org/W4320147968","https://openalex.org/W6678815747","https://openalex.org/W6685352114","https://openalex.org/W6734028196","https://openalex.org/W6779669310"],"related_works":["https://openalex.org/W3176707280","https://openalex.org/W2291683482","https://openalex.org/W2080025282","https://openalex.org/W2559797975","https://openalex.org/W4353031795","https://openalex.org/W2034343597","https://openalex.org/W2968586400","https://openalex.org/W2086133020","https://openalex.org/W3049758233","https://openalex.org/W1985434400"],"abstract_inverted_index":{"In":[0,100],"this":[1],"paper,":[2],"we":[3,102],"present":[4],"a":[5,57],"modeling":[6],"and":[7,48,79,112,132,135],"learning":[8],"method":[9],"to":[10,33,51,68,108],"analyze":[11],"the":[12,20,52,95,110,116,121,126,137,144,154],"network":[13,43],"behavior":[14,45,53,118],"of":[15,37,42,85,97,128,139,143,157],"mobile":[16],"applications":[17],"based":[18],"on":[19],"Android":[21,70,158],"platform.":[22],"Various":[23],"application":[24,38],"system":[25],"sand":[26],"environmental":[27],"factors":[28],"are":[29],"simulated":[30],"in":[31,72,120],"order":[32],"trigger":[34],"different":[35,74],"categories":[36,75,156],"behaviors.":[39],"The":[40,63,87,141],"sequence":[41,54],"event":[44],"is":[46,66,148],"retrieved":[47],"classified":[49],"according":[50],"combination":[55],"using":[56],"Bi-directional":[58],"Long":[59],"Short-term":[60],"Memory":[61],"network.":[62],"trained":[64,88],"classifier":[65],"applied":[67],"separate":[69],"apps":[71],"eight":[73],"for":[76,94],"normal":[77],"behaviors,":[78],"achieves":[80],"an":[81],"optimal":[82],"classification":[83],"accuracy":[84,142],"96.89%.":[86],"model":[89,147],"can":[90],"further":[91,149],"be":[92],"extended":[93],"purpose":[96],"malware":[98],"detection.":[99],"addition,":[101],"use":[103],"Wasserstein":[104],"Generative":[105],"Adversarial":[106],"networks":[107],"enhance":[109],"data":[111,130],"thus":[113],"efficiently":[114],"magnify":[115],"underlying":[117],"features":[119],"training":[122],"dataset.":[123],"This":[124],"solves":[125],"problem":[127],"limited":[129],"samples":[131],"time":[133],"overhead":[134],"increases":[136],"diversity":[138],"data.":[140],"original":[145],"Bi-LSTM":[146],"improved":[150],"by":[151],"9%":[152],"across":[153],"tested":[155],"apps.":[159]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
