{"id":"https://openalex.org/W3088420242","doi":"https://doi.org/10.1109/access.2020.3026052","title":"Malicious Code Detection Based on Code Semantic Features","display_name":"Malicious Code Detection Based on Code Semantic Features","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3088420242","doi":"https://doi.org/10.1109/access.2020.3026052","mag":"3088420242"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3026052","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3026052","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09204732.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09204732.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100433592","display_name":"Yu Zhang","orcid":"https://orcid.org/0000-0002-6532-0625"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["College of Cryptographic Engineering, Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6532-0625","affiliations":[{"raw_affiliation_string":"College of Cryptographic Engineering, Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"last","author":{"id":null,"display_name":"Binglong Li","orcid":"https://orcid.org/0000-0003-4154-7574"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binglong Li","raw_affiliation_strings":["College of Cryptographic Engineering, Information Engineering University, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4154-7574","affiliations":[{"raw_affiliation_string":"College of Cryptographic Engineering, Information Engineering University, Zhengzhou, China","institution_ids":["https://openalex.org/I169689159"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I169689159"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.9303,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.86765894,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"176728","last_page":"176737"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9916999936103821,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9757999777793884,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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":0.8984779715538025},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5330725312232971},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5078542828559875},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5002799034118652},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.4818792939186096},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3653647005558014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3612710237503052},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2786639928817749}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8984779715538025},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5330725312232971},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5078542828559875},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5002799034118652},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.4818792939186096},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3653647005558014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3612710237503052},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2786639928817749},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3026052","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3026052","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09204732.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:66c7ae3e2be4482f9ab11268a5eb7f9a","is_oa":true,"landing_page_url":"https://doaj.org/article/66c7ae3e2be4482f9ab11268a5eb7f9a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 176728-176737 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3026052","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3026052","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09204732.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3088420242.pdf","grobid_xml":"https://content.openalex.org/works/W3088420242.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W31472457","https://openalex.org/W1990649188","https://openalex.org/W2077278164","https://openalex.org/W2122672392","https://openalex.org/W2142889610","https://openalex.org/W2158874007","https://openalex.org/W2313513770","https://openalex.org/W2508015754","https://openalex.org/W2557513839","https://openalex.org/W2599823825","https://openalex.org/W2600702321","https://openalex.org/W2747715470","https://openalex.org/W2783327762","https://openalex.org/W2792450155","https://openalex.org/W2887944710","https://openalex.org/W2903765771","https://openalex.org/W2954284176","https://openalex.org/W2961553857","https://openalex.org/W2998961572","https://openalex.org/W3006325478","https://openalex.org/W3011624874","https://openalex.org/W3014545861","https://openalex.org/W6601325492"],"related_works":["https://openalex.org/W1991580985","https://openalex.org/W2397288865","https://openalex.org/W2165251242","https://openalex.org/W2368524271","https://openalex.org/W4247116873","https://openalex.org/W2576709312","https://openalex.org/W2392797073","https://openalex.org/W2989490741","https://openalex.org/W2023657818","https://openalex.org/W2952736244"],"abstract_inverted_index":{"With":[0],"the":[1,9,39,42,46,59,63,76,99,106,136,146],"development":[2],"of":[3,41,45,62,91,157],"smart":[4],"phones,":[5],"malicious":[6,18,47,66,127],"applications":[7],"for":[8,65,110,126],"Android":[10,17],"platform":[11],"have":[12],"increased":[13],"dramatically.":[14],"The":[15],"existing":[16,147],"code":[19,64,67,77,100,128],"analysis":[20],"methods":[21,37,148],"majorly":[22],"focus":[23],"on":[24,27,58,131],"detection":[25,142],"based":[26,57],"signatures,":[28],"inter-component":[29],"communication,":[30],"and":[31,103,120,123],"other":[32],"configuration":[33,151],"information":[34,152],"features.":[35],"Such":[36],"ignore":[38],"effect":[40],"semantic":[43,78,84,101],"features":[44,61,80,125,153,156],"code.":[48],"Even":[49],"a":[50,88,111,132],"few":[51],"such":[52],"studies":[53],"that":[54,97,135,149],"exist":[55],"are":[56],"statistical":[60,155],"detection.":[68,129],"To":[69],"address":[70],"these":[71],"shortcomings,":[72],"we":[73],"(1)":[74],"use":[75],"structure":[79],"to":[81,94,117],"reflect":[82,98],"deep":[83],"information,":[85],"(2)":[86],"propose":[87],"preprocessing":[89],"method":[90,138,160],"APK":[92],"files":[93],"generate":[95],"graphics":[96],"features,":[102],"(3)":[104],"introduce":[105],"advanced":[107],"graphical":[108],"semantics":[109,122],"graph":[112],"convolutional":[113],"network":[114],"(GCN)":[115],"model":[116],"automatically":[118],"identify":[119],"learn":[121],"extract":[124],"Experiments":[130],"dataset":[133],"confirm":[134],"proposed":[137],"can":[139],"achieve":[140],"95.8%":[141],"accuracy.":[143,163],"Compared":[144],"with":[145],"adopt":[150],"or":[154],"codes,":[158],"our":[159],"shows":[161],"higher":[162]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}