{"id":"https://openalex.org/W2992082808","doi":"https://doi.org/10.1109/icawst.2019.8923568","title":"Applying Convolutional Neural Network for Malware Detection","display_name":"Applying Convolutional Neural Network for Malware Detection","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2992082808","doi":"https://doi.org/10.1109/icawst.2019.8923568","mag":"2992082808"},"language":"en","primary_location":{"id":"doi:10.1109/icawst.2019.8923568","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2019.8923568","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","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/A5066946316","display_name":"Chia-Mei Chen","orcid":"https://orcid.org/0000-0002-4361-0461"},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chia-Mei Chen","raw_affiliation_strings":["Department of Information Management, National Sun-Yat Sun University, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Information Management, National Sun-Yat Sun University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100707116","display_name":"Shihao Wang","orcid":"https://orcid.org/0000-0002-8688-1034"},"institutions":[{"id":"https://openalex.org/I4210108002","display_name":"Min-Hwei College of Health Care Management","ror":"https://ror.org/0109nma88","country_code":"TW","type":"education","lineage":["https://openalex.org/I4210108002"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shi-Hao Wang","raw_affiliation_strings":["Department of Information Management, Shu-Zen junior College of Medicine and Management, Kaohsiung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Information Management, Shu-Zen junior College of Medicine and Management, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I4210108002"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063791350","display_name":"Dan-Wei Wen","orcid":"https://orcid.org/0000-0001-8210-9381"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan-Wei Wen","raw_affiliation_strings":["Department of Finance and Accounting, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"Department of Finance and Accounting, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065834709","display_name":"Gu-Hsin Lai","orcid":"https://orcid.org/0000-0001-8310-5120"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gu-Hsin Lai","raw_affiliation_strings":["Department of Technology Crime Investigation, Taiwan Police College, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Technology Crime Investigation, Taiwan Police College, Taipei, Taiwan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029600799","display_name":"Ming-Kung Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210143126","display_name":"Acer (Taiwan)","ror":"https://ror.org/03xajsx66","country_code":"TW","type":"company","lineage":["https://openalex.org/I4210143126"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ming-Kung Sun","raw_affiliation_strings":["Acer Cyber Security Inc., Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Acer Cyber Security Inc., Taipei, Taiwan","institution_ids":["https://openalex.org/I4210143126"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5066946316"],"corresponding_institution_ids":["https://openalex.org/I142974352"],"apc_list":null,"apc_paid":null,"fwci":1.3398,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.82178399,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"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":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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9983999729156494,"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":0.996399998664856,"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/malware","display_name":"Malware","score":0.9222884774208069},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8317342400550842},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7251852750778198},{"id":"https://openalex.org/keywords/cryptovirology","display_name":"Cryptovirology","score":0.6860141754150391},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5563651919364929},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5139009952545166},{"id":"https://openalex.org/keywords/perl","display_name":"Perl","score":0.471030056476593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4460427165031433},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4243553876876831},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3798772394657135},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.18043473362922668},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.10972049832344055}],"concepts":[{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.9222884774208069},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8317342400550842},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7251852750778198},{"id":"https://openalex.org/C84525096","wikidata":"https://www.wikidata.org/wiki/Q3506050","display_name":"Cryptovirology","level":3,"score":0.6860141754150391},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5563651919364929},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5139009952545166},{"id":"https://openalex.org/C2777002779","wikidata":"https://www.wikidata.org/wiki/Q42478","display_name":"Perl","level":2,"score":0.471030056476593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4460427165031433},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4243553876876831},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3798772394657135},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.18043473362922668},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.10972049832344055},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icawst.2019.8923568","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2019.8923568","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","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":33,"referenced_works":["https://openalex.org/W62298501","https://openalex.org/W200681053","https://openalex.org/W1498436455","https://openalex.org/W1760401052","https://openalex.org/W1995341919","https://openalex.org/W2010065958","https://openalex.org/W2016052119","https://openalex.org/W2066220442","https://openalex.org/W2076063813","https://openalex.org/W2085698608","https://openalex.org/W2111541427","https://openalex.org/W2121412398","https://openalex.org/W2121749752","https://openalex.org/W2146659255","https://openalex.org/W2152442131","https://openalex.org/W2163605009","https://openalex.org/W2164163973","https://openalex.org/W2165742702","https://openalex.org/W2183341477","https://openalex.org/W2511803001","https://openalex.org/W2745384027","https://openalex.org/W2919115771","https://openalex.org/W2949468774","https://openalex.org/W2964159373","https://openalex.org/W2980367889","https://openalex.org/W4252211664","https://openalex.org/W6602539881","https://openalex.org/W6608206699","https://openalex.org/W6678051712","https://openalex.org/W6681648988","https://openalex.org/W6684191040","https://openalex.org/W6763517486","https://openalex.org/W7015476958"],"related_works":["https://openalex.org/W4249009605","https://openalex.org/W2477251628","https://openalex.org/W2900526031","https://openalex.org/W2395100307","https://openalex.org/W3183826413","https://openalex.org/W4243179955","https://openalex.org/W2968504645","https://openalex.org/W2557742076","https://openalex.org/W4234891089","https://openalex.org/W1956767865"],"abstract_inverted_index":{"Failure":[0],"to":[1,12,18,61,65,90,114,189,200],"detect":[2],"malware":[3,41,73,116,178,186,203],"at":[4,204],"its":[5],"very":[6,55,206],"inception":[7,207],"leaves":[8],"room":[9],"for":[10,21,57,197,230],"it":[11,54,174],"post":[13],"significant":[14],"threat":[15],"and":[16,30,38,50,82,102,119,124,156,171,227],"cost":[17],"cyber":[19],"security":[20],"not":[22,64],"only":[23],"individuals,":[24],"organizations":[25],"but":[26],"also":[27,84,161],"the":[28,33,80,138,205,209],"society":[29],"nation.":[31],"However,":[32],"rapid":[34],"growth":[35],"in":[36,72,79,87,153,208,223],"volume":[37,123],"diversity":[39],"of":[40,69,127,137,150],"renders":[42],"conventional":[43],"detection":[44,74,117],"techniques":[45],"that":[46,163,179,215],"utilize":[47],"feature":[48],"extraction":[49],"comparison":[51],"insufficient,":[52],"making":[53],"difficult":[56],"well-trained":[58],"network":[59,198,211],"administrators":[60,199],"identify":[62,177,202],"malware,":[63,128],"mention":[66],"regular":[67],"users":[68],"internet.":[70],"Challenges":[71],"is":[75,165,180],"exacerbated":[76],"since":[77],"complexity":[78,106],"type":[81],"structure":[83],"increase":[85,115],"dramatically":[86],"these":[88],"years":[89],"include":[91],"source":[92,169],"code,":[93,173,184],"binary":[94,172],"file,":[95],"shell":[96],"script,":[97,99],"Perl":[98],"instructions,":[100],"settings":[101],"others.":[103],"Such":[104],"increased":[105],"offers":[107],"a":[108,194,224],"premium":[109],"on":[110],"misjudgment.":[111],"In":[112],"order":[113],"efficiency":[118],"accuracy":[120,148],"under":[121],"large":[122],"multiple":[125],"types":[126],"this":[129],"research":[130,192],"adopts":[131],"Convolutional":[132],"Neural":[133],"Networks":[134],"(CNN),":[135],"one":[136],"most":[139],"successful":[140],"deep":[141],"learning":[142],"techniques.":[143],"The":[144,159],"experiment":[145,160],"shows":[146],"an":[147],"rate":[149],"over":[151],"90%":[152],"identifying":[154],"malicious":[155],"benign":[157,183],"codes.":[158],"presents":[162],"CNN":[164],"effective":[166],"with":[167],"detecting":[168],"code":[170],"can":[175,219],"further":[176],"embedded":[181],"into":[182],"leaving":[185],"no":[187],"place":[188],"hide.":[190],"This":[191],"proposes":[193],"feasible":[195],"solution":[196],"efficiently":[201],"severe":[210],"environment":[212],"nowadays,":[213],"so":[214],"information":[216],"technology":[217],"personnel":[218],"take":[220],"protective":[221],"actions":[222],"timely":[225],"manner":[226],"make":[228],"preparations":[229],"potential":[231],"follow-up":[232],"cyber-attacks.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}
