{"id":"https://openalex.org/W2945936049","doi":"https://doi.org/10.1145/3320326.3320333","title":"Intelligent Framework for Malware Detection with Convolutional Neural Network","display_name":"Intelligent Framework for Malware Detection with Convolutional Neural Network","publication_year":2019,"publication_date":"2019-03-27","ids":{"openalex":"https://openalex.org/W2945936049","doi":"https://doi.org/10.1145/3320326.3320333","mag":"2945936049"},"language":"en","primary_location":{"id":"doi:10.1145/3320326.3320333","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3320326.3320333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Networking, Information Systems &amp; Security","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/A5045583709","display_name":"Youness Mourtaji","orcid":"https://orcid.org/0000-0002-8290-493X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Youness Mourtaji","raw_affiliation_strings":["Computer Science, Sytems and Telecommunication Laboratory, Tangier, Morocco"],"affiliations":[{"raw_affiliation_string":"Computer Science, Sytems and Telecommunication Laboratory, Tangier, Morocco","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042942039","display_name":"Mohammed Bouhorma","orcid":"https://orcid.org/0000-0002-5687-5231"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammed Bouhorma","raw_affiliation_strings":["Computer Science, Sytems and Telecommunication Laboratory, Tangier, Morocco"],"affiliations":[{"raw_affiliation_string":"Computer Science, Sytems and Telecommunication Laboratory, Tangier, Morocco","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083023211","display_name":"Daniyal Alghazzawi","orcid":"https://orcid.org/0000-0002-5533-3203"},"institutions":[{"id":"https://openalex.org/I185163786","display_name":"King Abdulaziz University","ror":"https://ror.org/02ma4wv74","country_code":"SA","type":"education","lineage":["https://openalex.org/I185163786"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Daniyal Alghazzawi","raw_affiliation_strings":["King Abdulaziz University, Jaddah, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"King Abdulaziz University, Jaddah, Saudi Arabia","institution_ids":["https://openalex.org/I185163786"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045583709"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4927,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.82864858,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"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":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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9902999997138977,"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":0.9832000136375427,"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":0.9407077431678772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8280969858169556},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8036670684814453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6985769271850586},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6734893321990967},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5376037359237671},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5098797082901001},{"id":"https://openalex.org/keywords/boom","display_name":"Boom","score":0.46429643034935},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.423128604888916},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3827076852321625},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22882968187332153},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08349624276161194}],"concepts":[{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.9407077431678772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8280969858169556},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8036670684814453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6985769271850586},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6734893321990967},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5376037359237671},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5098797082901001},{"id":"https://openalex.org/C141441539","wikidata":"https://www.wikidata.org/wiki/Q1970908","display_name":"Boom","level":2,"score":0.46429643034935},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.423128604888916},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3827076852321625},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22882968187332153},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08349624276161194},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3320326.3320333","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3320326.3320333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Networking, Information Systems &amp; Security","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":16,"referenced_works":["https://openalex.org/W200681053","https://openalex.org/W1482228399","https://openalex.org/W1566135517","https://openalex.org/W1581009051","https://openalex.org/W1686810756","https://openalex.org/W2010065958","https://openalex.org/W2023560454","https://openalex.org/W2024170198","https://openalex.org/W2099053789","https://openalex.org/W2128554449","https://openalex.org/W2144112223","https://openalex.org/W2267635142","https://openalex.org/W2582361049","https://openalex.org/W2801888526","https://openalex.org/W4241307704","https://openalex.org/W6608206699"],"related_works":["https://openalex.org/W3161710089","https://openalex.org/W2353620890","https://openalex.org/W2353579321","https://openalex.org/W3130795706","https://openalex.org/W3049366059","https://openalex.org/W2088384090","https://openalex.org/W3087499667","https://openalex.org/W2537816284","https://openalex.org/W2383202214","https://openalex.org/W2369795652"],"abstract_inverted_index":{"In":[0,37],"this":[1,126],"paper,":[2],"we":[3,128,149],"propose":[4],"a":[5,14,97,130,142,151],"deep":[6,98],"learning":[7,64,88],"framework":[8],"for":[9,69,83,154],"malware":[10,21,54,84,135,139,159],"classification.":[11,121,155],"There":[12],"was":[13],"big":[15],"boom":[16],"within":[17],"the":[18,41,73,76,147,173],"quantity":[19],"of":[20,43,75,81,125],"in":[22,107,116],"current":[23],"years":[24],"which":[25,118],"poses":[26],"an":[27],"extreme":[28],"safety":[29],"chance":[30],"to":[31,39,49,100,109,112,133,141],"financial":[32],"establishments,":[33],"agencies,":[34],"and":[35,52,145,163],"people.":[36],"order":[38],"fight":[40],"proliferation":[42],"malware,":[44,71,165],"new":[45],"techniques":[46],"are":[47,66],"essential":[48],"quickly":[50],"perceive":[51],"classify":[53,134],"samples":[55],"so":[56],"that":[57,167],"their":[58],"behavior":[59],"can":[60],"be":[61],"analyzed.":[62],"Machine":[63],"methods":[65],"becoming":[67],"famous":[68],"classifying":[70],"but,":[72],"maximum":[74],"modern":[77],"gadget":[78],"gaining":[79],"knowledge":[80],"strategies":[82],"classification":[85,160],"use":[86],"machine":[87],"algorithms":[89],"(e.g.,":[90],"SVM).":[91],"Currently,":[92],"Convolutional":[93],"Neural":[94],"Networks":[95],"(CNN),":[96],"getting":[99,111],"know":[101,113],"approach,":[102],"have":[103],"proven":[104],"advanced":[105],"performance":[106],"comparison":[108],"traditional":[110],"algorithms,":[114],"particularly":[115],"duties":[117],"include":[119],"image":[120],"Influenced":[122],"by":[123],"way":[124],"achievement,":[127],"recommend":[129],"CNN-based":[131],"architecture":[132],"samples.":[136],"We":[137],"convert":[138],"binaries":[140],"grayscale":[143],"image,":[144],"at":[146],"end,":[148],"train":[150],"CNN":[152],"network":[153],"Experiments":[156],"on":[157],"hard":[158],"datasets,":[161],"Malimg,":[162],"Microsoft":[164],"reveal":[166],"our":[168],"technique":[169],"achieves":[170],"higher":[171],"than":[172],"modern-day":[174],"overall":[175],"performance.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
