{"id":"https://openalex.org/W3080309220","doi":"https://doi.org/10.1145/3404555.3404622","title":"A Malware Detection Method Based on Rgb Image","display_name":"A Malware Detection Method Based on Rgb Image","publication_year":2020,"publication_date":"2020-04-23","ids":{"openalex":"https://openalex.org/W3080309220","doi":"https://doi.org/10.1145/3404555.3404622","mag":"3080309220"},"language":"en","primary_location":{"id":"doi:10.1145/3404555.3404622","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404555.3404622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence","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/A5047541218","display_name":"Jinrong Chen","orcid":"https://orcid.org/0000-0002-5572-6226"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinrong Chen","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Beijing China and School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing China and School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5047541218"],"corresponding_institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.3031,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.53791968,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"283","last_page":"290"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9721999764442444,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9625999927520752,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.853134274482727},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.8205573558807373},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6957076191902161},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6595388054847717},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6380299925804138},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5897276401519775},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5043083429336548},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4976339638233185},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49284839630126953},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46530988812446594},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2202897071838379}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.853134274482727},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.8205573558807373},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6957076191902161},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6595388054847717},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6380299925804138},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5897276401519775},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5043083429336548},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4976339638233185},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49284839630126953},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46530988812446594},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2202897071838379},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"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:10.1145/3404555.3404622","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3404555.3404622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 6th International Conference on Computing and Artificial Intelligence","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":25,"referenced_works":["https://openalex.org/W1552906779","https://openalex.org/W1905882502","https://openalex.org/W1968061803","https://openalex.org/W2010065958","https://openalex.org/W2044176896","https://openalex.org/W2079215333","https://openalex.org/W2100151287","https://openalex.org/W2102605133","https://openalex.org/W2117030266","https://openalex.org/W2120297918","https://openalex.org/W2131523719","https://openalex.org/W2143807210","https://openalex.org/W2144112223","https://openalex.org/W2237959143","https://openalex.org/W2257979135","https://openalex.org/W2402144811","https://openalex.org/W2489796857","https://openalex.org/W2613267722","https://openalex.org/W2765982206","https://openalex.org/W2788864200","https://openalex.org/W2801888526","https://openalex.org/W2919115771","https://openalex.org/W2962860144","https://openalex.org/W2963401022","https://openalex.org/W4229885421"],"related_works":["https://openalex.org/W2097492617","https://openalex.org/W2753240997","https://openalex.org/W1764168690","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"with":[3],"the":[4,7,13,19,22,27,42,66,72,88,102,133,136,151,160,171],"development":[5],"of":[6,15,21,24,29,37,56,71,105,114,126,135,141,153],"Internet,":[8],"information":[9],"security":[10],"has":[11,33,93],"become":[12],"focus":[14],"our":[16],"attention.":[17,39],"With":[18],"advent":[20],"era":[23],"big":[25],"data,":[26],"detection":[28,48,152,162],"large-scale":[30],"malicious":[31,62,106,154],"code":[32],"attracted":[34],"a":[35,46,112],"lot":[36],"researches'":[38],"For":[40],"solving":[41],"problem,":[43],"we":[44],"propose":[45],"malware":[47],"method":[49],"based":[50],"on":[51],"operation":[52,67,137],"and":[53,68,138,170],"data":[54,69,139],"flow":[55,70,140],"instructions,":[57],"which":[58,129],"is":[59,121,130],"used":[60,75,143],"by":[61,76,132,144],"code.":[63,107,155],"It":[64],"combines":[65],"instructions":[73,142],"being":[74],"malware,":[77,145],"then":[78],"reflects":[79],"itself":[80],"in":[81,95],"an":[82],"rgb":[83,103,127],"image.":[84],"Then,":[85],"it":[86,120],"uses":[87],"convolutional":[89],"neural":[90],"network":[91],"that":[92,123,159],"advantages":[94],"image":[96,104],"processing":[97],"for":[98],"deep-learning":[99],"to":[100,150],"detect":[101],"We":[108],"have":[109],"carried":[110],"out":[111],"series":[113],"experiments.":[115],"And":[116],"through":[117],"these":[118],"experiments,":[119],"proved":[122],"this":[124],"kind":[125],"image,":[128],"generated":[131],"fusion":[134],"could":[146,164,175],"be":[147,165,176],"well":[148],"applied":[149],"The":[156],"experiment":[157],"shows":[158],"highest":[161],"accuracy":[163],"as":[166,168,177,179],"high":[167],"97.95%":[169],"false":[172],"positive":[173],"rate":[174],"low":[178],"2.618%.":[180]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
