{"id":"https://openalex.org/W4394913698","doi":"https://doi.org/10.1145/3638782.3638783","title":"AntiMal: an Approach of Malware Detection Employing Swin Transformer","display_name":"AntiMal: an Approach of Malware Detection Employing Swin Transformer","publication_year":2023,"publication_date":"2023-12-06","ids":{"openalex":"https://openalex.org/W4394913698","doi":"https://doi.org/10.1145/3638782.3638783"},"language":"en","primary_location":{"id":"doi:10.1145/3638782.3638783","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638782.3638783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 13th International Conference on Communication and Network Security","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/A5058647519","display_name":"Chenxi Lyu","orcid":"https://orcid.org/0000-0002-7727-5518"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxi Lyu","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, China"],"raw_orcid":"https://orcid.org/0000-0002-7727-5518","affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100625359","display_name":"Yinan Yao","orcid":"https://orcid.org/0000-0002-1127-8396"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinan Yao","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, China"],"raw_orcid":"https://orcid.org/0000-0002-1127-8396","affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052989449","display_name":"Xiaodong Guo","orcid":"https://orcid.org/0009-0004-7988-5661"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Guo","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, China"],"raw_orcid":"https://orcid.org/0009-0004-7988-5661","affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114150795","display_name":"Zihong Huang","orcid":"https://orcid.org/0009-0006-0589-0366"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zihong Huang","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, China"],"raw_orcid":"https://orcid.org/0009-0006-0589-0366","affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067332736","display_name":"Chen Dong","orcid":"https://orcid.org/0000-0001-7546-3403"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Dong","raw_affiliation_strings":["College of Computer and Data Science, Fuzhou University, China"],"raw_orcid":"https://orcid.org/0000-0001-7546-3403","affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fuzhou University, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067788427","display_name":"Yuanyuan Zhang","orcid":"https://orcid.org/0000-0002-2302-836X"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Zhang","raw_affiliation_strings":["College of Computer and Cyber Security, Fujian Normal University, China"],"raw_orcid":"https://orcid.org/0000-0002-2302-836X","affiliations":[{"raw_affiliation_string":"College of Computer and Cyber Security, Fujian Normal University, China","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081579818","display_name":"Zhenyi Chen","orcid":"https://orcid.org/0000-0001-9498-4300"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhenyi Chen","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Florida, USA"],"raw_orcid":"https://orcid.org/0000-0001-9498-4300","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Florida, USA","institution_ids":["https://openalex.org/I2613432"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9994999766349792,"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/T11017","display_name":"Chaos-based Image/Signal Encryption","score":0.9907000064849854,"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/malware","display_name":"Malware","score":0.7846797704696655},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6667466163635254},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5531172752380371},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.30691051483154297},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.2164938747882843},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12827453017234802},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.08548781275749207}],"concepts":[{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.7846797704696655},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6667466163635254},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5531172752380371},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.30691051483154297},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.2164938747882843},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12827453017234802},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.08548781275749207}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3638782.3638783","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638782.3638783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 13th International Conference on Communication and Network Security","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W68631387","https://openalex.org/W200681053","https://openalex.org/W1550383259","https://openalex.org/W1641762327","https://openalex.org/W2065890363","https://openalex.org/W2117030266","https://openalex.org/W2142145056","https://openalex.org/W2150188172","https://openalex.org/W2170770919","https://openalex.org/W2557513839","https://openalex.org/W2732916693","https://openalex.org/W2765271136","https://openalex.org/W2979461903","https://openalex.org/W3005037001","https://openalex.org/W3038549562","https://openalex.org/W3090807249","https://openalex.org/W3138516171","https://openalex.org/W3143021555","https://openalex.org/W4211260778","https://openalex.org/W4380358461","https://openalex.org/W6608206699"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","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/W2249809453"],"abstract_inverted_index":{"In":[0,60],"the":[1,4,17,31,66,78,82,96,102,111,135,139,142,153],"present":[2],"era,":[3],"menace":[5],"of":[6,19,33,68,114,155,163],"malicious":[7,34,69,115,156],"software":[8,35,157],"is":[9,73],"growing":[10],"continuously,":[11],"posing":[12],"a":[13,63,125],"significant":[14,176],"challenge":[15],"in":[16,141,152],"realm":[18],"cybersecurity.":[20],"Currently,":[21],"traditional":[22],"machine":[23],"learning":[24],"algorithms":[25],"have":[26],"been":[27],"widely":[28],"applied":[29],"to":[30,131,165],"analysis":[32],"and":[36,51,58,85,133,170],"are":[37],"considered":[38],"effective":[39],"methods.":[40],"However,":[41],"these":[42],"approaches":[43],"often":[44],"require":[45],"extensive":[46],"feature":[47,49,52],"engineering,":[48],"learning,":[50],"representation,":[53],"which":[54],"can":[55],"be":[56],"time-consuming":[57],"resource-intensive.":[59],"this":[61,149],"paper,":[62],"method":[64,76],"for":[65,91,101],"identification":[67],"software,":[70],"named":[71],"\"AntiMal,\"":[72],"proposed.":[74],"This":[75],"utilizes":[77],"Swin":[79,136],"Transformer":[80],"as":[81,124],"backbone":[83],"network":[84],"combines":[86],"it":[87,109,128,174],"with":[88,180],"image":[89],"features":[90],"static":[92],"analysis.":[93],"It":[94],"leverages":[95],"dataset":[97],"provided":[98],"by":[99],"Microsoft":[100,104],"Kaggle":[103],"Malware":[105],"Classification":[106],"Challenge.":[107],"Initially,":[108],"converts":[110],"binary":[112],"data":[113],"code":[116],"into":[117],"grayscale":[118],"images,":[119],"treating":[120],"every":[121],"8":[122],"bits":[123],"pixel.":[126],"Subsequently,":[127],"employs":[129],"PyTorch":[130],"build":[132],"train":[134],"Transformer,":[137],"classifying":[138],"images":[140],"validation":[143],"set.":[144],"The":[145],"results":[146],"demonstrate":[147],"that":[148],"approach":[150],"excels":[151],"problem":[154],"classification,":[158],"achieving":[159],"an":[160],"impressive":[161],"accuracy":[162],"up":[164],"95%,":[166],"showcasing":[167],"remarkable":[168],"precision":[169],"generalization":[171],"capabilities.":[172],"Furthermore,":[173],"exhibits":[175],"advantages":[177],"when":[178],"dealing":[179],"large":[181],"datasets,":[182],"requiring":[183],"fewer":[184],"computational":[185,190],"resources,":[186],"thus":[187],"offering":[188],"exceptional":[189],"efficiency.":[191]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}