{"id":"https://openalex.org/W3106619103","doi":"https://doi.org/10.1109/cisp-bmei51763.2020.9263499","title":"Malware Family Classification using LSTM with Attention","display_name":"Malware Family Classification using LSTM with Attention","publication_year":2020,"publication_date":"2020-10-17","ids":{"openalex":"https://openalex.org/W3106619103","doi":"https://doi.org/10.1109/cisp-bmei51763.2020.9263499","mag":"3106619103"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei51763.2020.9263499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei51763.2020.9263499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5022673825","display_name":"Qi Xie","orcid":"https://orcid.org/0000-0002-8808-3124"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi Xie","raw_affiliation_strings":["National University of Defense Technology,College of Computer,Changsha,China","College of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer,Changsha,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100424209","display_name":"Yongjun Wang","orcid":"https://orcid.org/0000-0002-3627-1465"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjun Wang","raw_affiliation_strings":["National University of Defense Technology,College of Computer,Changsha,China","College of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer,Changsha,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063703249","display_name":"Zhiquan Qin","orcid":"https://orcid.org/0000-0002-8448-6815"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiquan Qin","raw_affiliation_strings":["National University of Defense Technology,College of Computer,Changsha,China","College of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology,College of Computer,Changsha,China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022673825"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.4546,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.62639895,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"966","last_page":"970"},"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/T12034","display_name":"Digital and Cyber Forensics","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9908000230789185,"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":0.9249177575111389},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8470056056976318},{"id":"https://openalex.org/keywords/static-analysis","display_name":"Static analysis","score":0.5278615355491638},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5118812322616577},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49524131417274475},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.49315088987350464},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.47752442955970764},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44782957434654236},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.4283081293106079},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42228639125823975},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3428493142127991},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.2565637528896332},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.23119917511940002},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08460399508476257}],"concepts":[{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.9249177575111389},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8470056056976318},{"id":"https://openalex.org/C97686452","wikidata":"https://www.wikidata.org/wiki/Q7604153","display_name":"Static analysis","level":2,"score":0.5278615355491638},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5118812322616577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49524131417274475},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.49315088987350464},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.47752442955970764},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44782957434654236},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.4283081293106079},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42228639125823975},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3428493142127991},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2565637528896332},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.23119917511940002},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08460399508476257},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei51763.2020.9263499","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei51763.2020.9263499","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W1996975221","https://openalex.org/W2086200747","https://openalex.org/W2514847810","https://openalex.org/W2557513839","https://openalex.org/W2786476294","https://openalex.org/W2795033129","https://openalex.org/W2886694146","https://openalex.org/W2917661079","https://openalex.org/W2949755578","https://openalex.org/W2963408280","https://openalex.org/W2988961468","https://openalex.org/W2993581355","https://openalex.org/W6636510571","https://openalex.org/W6763123837"],"related_works":["https://openalex.org/W2610659201","https://openalex.org/W65788704","https://openalex.org/W4285507391","https://openalex.org/W2067547021","https://openalex.org/W3136388389","https://openalex.org/W3107556205","https://openalex.org/W77168003","https://openalex.org/W2805262980","https://openalex.org/W2765174411","https://openalex.org/W4234891089"],"abstract_inverted_index":{"As":[0],"the":[1,15,21,43,84,95,100,104,108,118,139,150,163,196],"damage":[2],"caused":[3],"by":[4,126],"malware":[5,22,29,41,63,75,101,183,218],"gets":[6],"severer":[7],"and":[8,19,26,35,102,129,170,194,204],"involves":[9],"a":[10,182,211],"wider":[11],"range":[12],"of":[13,17,110,120,162,181,202,208],"fields,":[14],"capability":[16,180],"detecting":[18],"classifying":[20],"becomes":[23],"increasingly":[24],"urgent":[25],"significant.":[27],"Modern":[28],"are":[30,72,136],"usually":[31],"equipped":[32],"with":[33,199,213],"metamorphic":[34],"polymorphic":[36],"techniques,":[37],"which":[38,158],"means":[39],"that":[40,52,68,188],"from":[42,83,216],"same":[44],"family":[45],"might":[46],"be":[47],"modified.":[48],"It":[49],"is":[50],"noteworthy":[51],"dynamic":[53,70],"analysis":[54,165],"can":[55,174],"partially":[56],"tackle":[57],"those":[58],"anti-static":[59,164],"techniques.":[60,86],"However,":[61],"many":[62],"authors":[64],"have":[65],"already":[66],"realized":[67],"more":[69],"methods":[71],"employed":[73],"in":[74],"analysis.":[76],"Therefore,":[77],"this":[78,91],"field":[79],"still":[80],"suffers":[81],"heavily":[82],"anti-dynamic":[85],"To":[87],"address":[88],"these":[89,155],"problems,":[90],"paper":[92],"first":[93],"utilizes":[94],"static":[96],"approach":[97],"to":[98,141,153,160],"disassembly":[99],"obtains":[103],"assembly":[105],"code.":[106],"Harnessing":[107],"power":[109],"word":[111],"embedding,":[112],"our":[113,172,189],"method":[114,173,190],"then":[115,148],"effectively":[116],"learns":[117],"relationships":[119],"instructions":[121,128],"within":[122],"each":[123,143],"block":[124],"split":[125],"jump":[127],"represents":[130],"them":[131],"as":[132],"vectors.":[133],"These":[134],"vectors":[135],"fed":[137],"into":[138],"LSTM":[140],"get":[142],"block's":[144],"representative":[145],"features.":[146],"We":[147],"incorporate":[149],"attention":[151],"mechanism":[152],"reduce":[154],"junk":[156],"codes":[157],"belongs":[159],"one":[161],"techniques":[166],"or":[167],"atypical":[168],"features,":[169],"thus":[171],"obtain":[175],"significantly":[176],"better":[177],"feature":[178],"representation":[179],"file.":[184],"Empirical":[185],"experiments":[186],"show":[187],"prevails":[191],"its":[192],"competitors":[193],"achieves":[195],"best":[197],"performance":[198],"an":[200,205],"accuracy":[201],"94.25%":[203],"f1":[206],"score":[207],"0.95":[209],"on":[210],"dataset":[212],"16,718":[214],"samples":[215],"6":[217],"families.":[219]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}