{"id":"https://openalex.org/W3217364290","doi":"https://doi.org/10.1109/isncc52172.2021.9615643","title":"Using Variational Autoencoders to Increase the Performance of Malware Classification","display_name":"Using Variational Autoencoders to Increase the Performance of Malware Classification","publication_year":2021,"publication_date":"2021-10-31","ids":{"openalex":"https://openalex.org/W3217364290","doi":"https://doi.org/10.1109/isncc52172.2021.9615643","mag":"3217364290"},"language":"en","primary_location":{"id":"doi:10.1109/isncc52172.2021.9615643","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isncc52172.2021.9615643","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Symposium on Networks, Computers and Communications (ISNCC)","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/A5066859021","display_name":"T.K.F. Taylor","orcid":"https://orcid.org/0000-0002-4017-7113"},"institutions":[{"id":"https://openalex.org/I11983389","display_name":"Manchester Metropolitan University","ror":"https://ror.org/02hstj355","country_code":"GB","type":"education","lineage":["https://openalex.org/I11983389"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Thomas Taylor","raw_affiliation_strings":["Manchester Metropolitan University, Manchester, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Manchester Metropolitan University, Manchester, United Kingdom","institution_ids":["https://openalex.org/I11983389"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040655055","display_name":"Amna Eleyan","orcid":"https://orcid.org/0000-0002-2025-3027"},"institutions":[{"id":"https://openalex.org/I11983389","display_name":"Manchester Metropolitan University","ror":"https://ror.org/02hstj355","country_code":"GB","type":"education","lineage":["https://openalex.org/I11983389"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Amna Eleyan","raw_affiliation_strings":["Manchester Metropolitan University, Manchester, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Manchester Metropolitan University, Manchester, United Kingdom","institution_ids":["https://openalex.org/I11983389"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5066859021"],"corresponding_institution_ids":["https://openalex.org/I11983389"],"apc_list":null,"apc_paid":null,"fwci":1.3713,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.81960784,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.996999979019165,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9904999732971191,"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":0.8105090856552124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7500075697898865},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5988193154335022},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5893858671188354},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.5869055390357971},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5804040431976318},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5439696907997131},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44245606660842896},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43628495931625366}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8105090856552124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7500075697898865},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5988193154335022},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5893858671188354},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.5869055390357971},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5804040431976318},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5439696907997131},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44245606660842896},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43628495931625366},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isncc52172.2021.9615643","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isncc52172.2021.9615643","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Symposium on Networks, Computers and Communications (ISNCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2037090034","https://openalex.org/W2053757129","https://openalex.org/W2133028937","https://openalex.org/W2294798173","https://openalex.org/W2734718015","https://openalex.org/W2786476294","https://openalex.org/W2900587877","https://openalex.org/W3106196258","https://openalex.org/W3159552247","https://openalex.org/W4239510810","https://openalex.org/W4244165801","https://openalex.org/W6679978324"],"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/W4284893819","https://openalex.org/W3152891574","https://openalex.org/W2249809453","https://openalex.org/W4316881845"],"abstract_inverted_index":{"Often":[0],"complex":[1],"datasets":[2],"will":[3],"have":[4,18],"a":[5,19,47,59,74],"large":[6],"number":[7,35],"of":[8,12,25,36,49,61,104,107],"features":[9,37,98],"for":[10],"each":[11],"its":[13],"samples.":[14],"Sometimes,":[15],"this":[16,38,44,55],"can":[17,40,69,81],"negative":[20],"effect":[21],"on":[22,28],"the":[23,29,34,79],"performance":[24,106],"models":[26,80],"trained":[27,84],"raw":[30],"data.":[31],"By":[32],"reducing":[33],"problem":[39],"be":[41,70,83],"avoided.":[42],"However,":[43],"may":[45],"cause":[46],"loss":[48],"information.":[50],"One":[51],"method":[52],"to":[53,72,94],"mitigate":[54],"is":[56],"by":[57],"using":[58],"type":[60],"unsupervised":[62],"neural":[63],"network":[64],"structure":[65],"called":[66],"autoencoders.":[67],"Autoencoders":[68,91],"used":[71],"generate":[73],"reduced":[75],"feature":[76],"space":[77],"which":[78],"then":[82,100],"on.":[85],"This":[86],"paper":[87],"uses":[88],"Convolutional":[89],"Variational":[90],"in":[92],"order":[93],"create":[95],"these":[96],"latent":[97],"and":[99],"determines":[101],"their":[102],"effectiveness":[103],"improving":[105],"machine":[108],"learning":[109],"classifier":[110],"models.":[111]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}