{"id":"https://openalex.org/W2789326120","doi":"https://doi.org/10.1145/3176258.3176335","title":"Malware Analysis of Imaged Binary Samples by Convolutional Neural Network with Attention Mechanism","display_name":"Malware Analysis of Imaged Binary Samples by Convolutional Neural Network with Attention Mechanism","publication_year":2018,"publication_date":"2018-03-13","ids":{"openalex":"https://openalex.org/W2789326120","doi":"https://doi.org/10.1145/3176258.3176335","mag":"2789326120"},"language":"en","primary_location":{"id":"doi:10.1145/3176258.3176335","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3176258.3176335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighth ACM Conference on Data and Application Security and Privacy","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/A5051687457","display_name":"Hiromu Yakura","orcid":"https://orcid.org/0000-0002-2558-735X"},"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":"Hiromu Yakura","raw_affiliation_strings":["University of Tsukuba & RIKEN Center for Advanced Intelligent Project, Tsukuba, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba & RIKEN Center for Advanced Intelligent Project, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085810519","display_name":"Shinnosuke Shinozaki","orcid":null},"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":"Shinnosuke Shinozaki","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":"middle","author":{"id":"https://openalex.org/A5041173194","display_name":"Reon Nishimura","orcid":null},"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":"Reon Nishimura","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":"middle","author":{"id":"https://openalex.org/A5077981225","display_name":"Yoshihiro Oyama","orcid":"https://orcid.org/0000-0002-9406-5037"},"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":"Yoshihiro Oyama","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/A5022139141","display_name":"Jun Sakuma","orcid":"https://orcid.org/0000-0001-5015-3812"},"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":"Jun Sakuma","raw_affiliation_strings":["University of Tsukuba & RIKEN Center for Advanced Intelligent Project, Tsukuba, Japan"],"affiliations":[{"raw_affiliation_string":"University of Tsukuba & RIKEN Center for Advanced Intelligent Project, Tsukuba, Japan","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5051687457"],"corresponding_institution_ids":["https://openalex.org/I146399215"],"apc_list":null,"apc_paid":null,"fwci":6.4632,"has_fulltext":false,"cited_by_count":83,"citation_normalized_percentile":{"value":0.97358319,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"127","last_page":"134"},"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9965999722480774,"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"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9940000176429749,"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":0.8400806188583374},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.7053816318511963},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6803680658340454},{"id":"https://openalex.org/keywords/byte","display_name":"Byte","score":0.6557946801185608},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5907231569290161},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.556729793548584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5299806594848633},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5054011344909668},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4738117754459381},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.4378582537174225},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.41561323404312134},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35948580503463745},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.27341562509536743}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8400806188583374},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.7053816318511963},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6803680658340454},{"id":"https://openalex.org/C43364308","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Byte","level":2,"score":0.6557946801185608},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5907231569290161},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.556729793548584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5299806594848633},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5054011344909668},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4738117754459381},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.4378582537174225},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.41561323404312134},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35948580503463745},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.27341562509536743},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3176258.3176335","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3176258.3176335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighth ACM Conference on Data and Application Security and Privacy","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W157706324","https://openalex.org/W1559833478","https://openalex.org/W1566135517","https://openalex.org/W1677182931","https://openalex.org/W1690253345","https://openalex.org/W1806610636","https://openalex.org/W1974527629","https://openalex.org/W2010065958","https://openalex.org/W2014126759","https://openalex.org/W2045140281","https://openalex.org/W2055515812","https://openalex.org/W2084191355","https://openalex.org/W2098262260","https://openalex.org/W2115175195","https://openalex.org/W2117030266","https://openalex.org/W2267635142","https://openalex.org/W2292109572","https://openalex.org/W2476429474","https://openalex.org/W2557283755","https://openalex.org/W2586610235","https://openalex.org/W2597655663","https://openalex.org/W2599823825","https://openalex.org/W2964308564","https://openalex.org/W3011715110"],"related_works":["https://openalex.org/W2097492617","https://openalex.org/W2000785801","https://openalex.org/W986318368","https://openalex.org/W2753240997","https://openalex.org/W2384410913","https://openalex.org/W1764168690","https://openalex.org/W2537959205","https://openalex.org/W2352878646","https://openalex.org/W2740895074","https://openalex.org/W3202613528"],"abstract_inverted_index":{"This":[0,30,68],"paper":[1],"presents":[2],"a":[3,6,39,97],"proposal":[4],"of":[5,20,27,53,70,74,132,153],"method":[7,103,143],"to":[8,16,44,79],"extract":[9],"important":[10],"byte":[11,76],"sequences":[12,77,166],"in":[13,65,127],"malware":[14,81,121,137,154],"samples":[15,155,175],"reduce":[17],"the":[18,25,28,66,80,84,93,101,105,113,128,141,158,164],"workload":[19],"human":[21,94],"analysts":[22,95],"who":[23],"investigate":[24],"functionalities":[26],"samples.":[29],"method,":[31],"by":[32],"applying":[33],"convolutional":[34],"neural":[35],"network":[36],"(CNN)":[37],"with":[38],"technique":[40],"called":[41],"attention":[42,106,160],"mechanism":[43],"an":[45,54],"image":[46],"converted":[47],"from":[48,83],"binary":[49,85,110],"data,":[50],"enables":[51,72],"calculation":[52],"\"attention":[55],"map,\"":[56],"which":[57],"shows":[58],"regions":[59,71],"having":[60],"higher":[61,145],"importance":[62],"for":[63,92,108,170],"classification":[64,146],"image.":[67],"distinction":[69],"extraction":[73],"characteristic":[75],"peculiar":[78],"family":[82],"data":[86,111,114,129],"and":[87],"can":[88,118],"provide":[89,167],"useful":[90,168],"information":[91,169],"without":[96],"priori":[98],"knowledge.":[99],"Furthermore,":[100,151],"proposed":[102,142],"calculates":[104],"map":[107],"all":[109],"including":[112],"section.":[115,130],"Thus,":[116],"it":[117],"process":[119],"packed":[120],"that":[122,140,163],"might":[123],"contain":[124],"obfuscated":[125],"code":[126],"Results":[131],"our":[133],"evaluation":[134],"experiment":[135],"using":[136],"datasets":[138],"show":[139],"provides":[144],"accuracy":[147],"than":[148],"conventional":[149],"methods.":[150],"analysis":[152],"based":[156],"on":[157],"calculated":[159],"maps":[161],"confirmed":[162],"extracted":[165],"manual":[171],"analysis,":[172],"even":[173],"when":[174],"are":[176],"packed.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-23T09:07:50.710637","created_date":"2025-10-10T00:00:00"}