{"id":"https://openalex.org/W3188718603","doi":"https://doi.org/10.1109/icc42927.2021.9500440","title":"Robust Detection Model for Portable Execution Malware","display_name":"Robust Detection Model for Portable Execution Malware","publication_year":2021,"publication_date":"2021-06-01","ids":{"openalex":"https://openalex.org/W3188718603","doi":"https://doi.org/10.1109/icc42927.2021.9500440","mag":"3188718603"},"language":"en","primary_location":{"id":"doi:10.1109/icc42927.2021.9500440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc42927.2021.9500440","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2021 - IEEE International Conference on Communications","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/A5007969326","display_name":"Wanjia Zheng","orcid":"https://orcid.org/0000-0002-8768-8033"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Wanjia Zheng","raw_affiliation_strings":["University of Tsukuba, Tsukuba, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038962833","display_name":"Kazumasa Omote","orcid":"https://orcid.org/0000-0002-1371-4454"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazumasa Omote","raw_affiliation_strings":["University of Tsukuba, Tsukuba, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007969326"],"corresponding_institution_ids":["https://openalex.org/I146399215"],"apc_list":null,"apc_paid":null,"fwci":0.6094,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66572008,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":"2018 csec 82","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":0.9998999834060669,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9980000257492065,"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":0.8747390508651733},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8394762277603149},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7827633619308472},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6090746521949768},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5839481949806213},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.541204035282135},{"id":"https://openalex.org/keywords/attack-surface","display_name":"Attack surface","score":0.474881112575531},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.46002402901649475},{"id":"https://openalex.org/keywords/cryptovirology","display_name":"Cryptovirology","score":0.43225133419036865},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32557523250579834},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11327067017555237}],"concepts":[{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.8747390508651733},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8394762277603149},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7827633619308472},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6090746521949768},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5839481949806213},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.541204035282135},{"id":"https://openalex.org/C2776576444","wikidata":"https://www.wikidata.org/wiki/Q303569","display_name":"Attack surface","level":2,"score":0.474881112575531},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.46002402901649475},{"id":"https://openalex.org/C84525096","wikidata":"https://www.wikidata.org/wiki/Q3506050","display_name":"Cryptovirology","level":3,"score":0.43225133419036865},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32557523250579834},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11327067017555237},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc42927.2021.9500440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc42927.2021.9500440","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2021 - IEEE International Conference on Communications","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":22,"referenced_works":["https://openalex.org/W327991062","https://openalex.org/W1605569224","https://openalex.org/W1851665508","https://openalex.org/W1945616565","https://openalex.org/W2085869645","https://openalex.org/W2182464523","https://openalex.org/W2408141691","https://openalex.org/W2607219512","https://openalex.org/W2744095836","https://openalex.org/W2747237166","https://openalex.org/W2752241832","https://openalex.org/W2886412460","https://openalex.org/W2963165448","https://openalex.org/W2963207607","https://openalex.org/W2980945382","https://openalex.org/W3099388751","https://openalex.org/W3102720581","https://openalex.org/W4297573953","https://openalex.org/W6636442488","https://openalex.org/W6714069269","https://openalex.org/W6733645847","https://openalex.org/W6753792256"],"related_works":["https://openalex.org/W4249009605","https://openalex.org/W2900526031","https://openalex.org/W4256304280","https://openalex.org/W2395100307","https://openalex.org/W3183826413","https://openalex.org/W2909615516","https://openalex.org/W4243179955","https://openalex.org/W3205001643","https://openalex.org/W2557742076","https://openalex.org/W2968504645"],"abstract_inverted_index":{"With":[0],"recent":[1,90],"technological":[2],"developments,":[3],"it":[4],"has":[5],"become":[6],"natural":[7],"for":[8],"personal":[9],"computers":[10],"and":[11,19,68,70,108,119,132,142,176,181,194,205],"Internet":[12],"of":[13,43,116,148,184,196,202],"Things(IoT)":[14],"devices,":[15],"such":[16,49,64],"as":[17,46,50,65],"smartphones":[18],"tablets,":[20],"to":[21,25,32,35,75,92],"remain":[22],"constantly":[23],"connected":[24],"the":[26,41,110,114,149,162,174,182,192,197],"Internet.":[27],"Malicious":[28],"attackers":[29,118],"are":[30,73,179],"known":[31],"abuse":[33],"malware":[34,105,135,175],"achieve":[36],"their":[37],"nefarious":[38],"purposes,":[39],"necessitating":[40],"implementation":[42],"defense":[44],"systems":[45],"protection.":[47],"Methods":[48],"machine":[51,96,143],"learning-based":[52,97],"techniques,":[53],"which":[54],"have":[55,86],"been":[56,87],"utilized":[57],"with":[58],"great":[59],"success":[60],"in":[61,89,95,200],"various":[62],"fields":[63],"image":[66],"recognition":[67],"processing,":[69],"voice":[71],"recognition,":[72],"used":[74],"prevent":[76],"cyberattacks":[77],"caused":[78],"by":[79],"malware.":[80],"However,":[81],"several":[82],"adversarial":[83,126],"attack":[84,127,186],"methods":[85],"proposed":[88,150,198],"years":[91],"induce":[93],"malfunctions":[94],"models.":[98],"In":[99],"this":[100],"study,":[101],"we":[102,122,190],"focus":[103],"on":[104],"detection":[106,136,203],"field":[107],"treat":[109],"aforementioned":[111],"issue":[112],"from":[113,161],"perspectives":[115],"both":[117],"defenders;":[120],"subsequently,":[121],"propose":[123],"a":[124,133],"novel":[125],"method,":[128],"named":[129],"IMAGE_RESOURCE":[130,185],"attack,":[131],"robust":[134],"model,":[137],"respectively,":[138],"using":[139,154],"dimension":[140],"reduction":[141],"learning":[144],"techniques.":[145],"The":[146],"robustness":[147,167],"model":[151,199],"is":[152,187],"evaluated":[153],"portable":[155],"execution":[156],"(PE)":[157],"surface":[158],"information":[159],"obtained":[160],"FFRI":[163],"Dataset":[164],"2018.":[165],"During":[166],"evaluation,":[168],"distances":[169],"(e.g.,":[170],"Euclidean":[171],"distance)":[172],"between":[173],"benign":[177],"files":[178],"measured,":[180],"effectiveness":[183,193],"estimated.":[188],"Thus,":[189],"establish":[191],"superiority":[195],"terms":[201],"accuracy":[204],"robustness.":[206]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}