{"id":"https://openalex.org/W2031484555","doi":"https://doi.org/10.1145/2480362.2480401","title":"Disguised malware script detection system using hybrid genetic algorithm","display_name":"Disguised malware script detection system using hybrid genetic algorithm","publication_year":2013,"publication_date":"2013-03-18","ids":{"openalex":"https://openalex.org/W2031484555","doi":"https://doi.org/10.1145/2480362.2480401","mag":"2031484555"},"language":"en","primary_location":{"id":"doi:10.1145/2480362.2480401","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2480362.2480401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100411980","display_name":"Jinhyun Kim","orcid":"https://orcid.org/0000-0002-4121-5767"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinhyun Kim","raw_affiliation_strings":["Seoul National University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022911578","display_name":"Byung-Ro Moon","orcid":"https://orcid.org/0000-0002-4968-2159"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byung-Ro Moon","raw_affiliation_strings":["Seoul National University, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Seoul National University, Seoul, Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"182","last_page":"187"},"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/T10260","display_name":"Software Engineering Research","score":0.9993000030517578,"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.9980999827384949,"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/malware","display_name":"Malware","score":0.9413201808929443},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8484853506088257},{"id":"https://openalex.org/keywords/scripting-language","display_name":"Scripting language","score":0.626545786857605},{"id":"https://openalex.org/keywords/signature","display_name":"Signature (topology)","score":0.5675089955329895},{"id":"https://openalex.org/keywords/identifier","display_name":"Identifier","score":0.5555932521820068},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5188645124435425},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.5188285708427429},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.48774391412734985},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4712524712085724},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43522605299949646},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3670094907283783},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2614491283893585},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2371198534965515},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.17326730489730835},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.13657882809638977}],"concepts":[{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.9413201808929443},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8484853506088257},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.626545786857605},{"id":"https://openalex.org/C2779696439","wikidata":"https://www.wikidata.org/wiki/Q7512811","display_name":"Signature (topology)","level":2,"score":0.5675089955329895},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.5555932521820068},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5188645124435425},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.5188285708427429},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.48774391412734985},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4712524712085724},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43522605299949646},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3670094907283783},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2614491283893585},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2371198534965515},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.17326730489730835},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.13657882809638977},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2480362.2480401","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2480362.2480401","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.6200000047683716,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G2497633778","display_name":null,"funder_award_id":"2012-0000463","funder_id":"https://openalex.org/F4320322349","funder_display_name":"Ministry of Education, Science and Technology"},{"id":"https://openalex.org/G4869241811","display_name":null,"funder_award_id":"2011-0018006","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320322349","display_name":"Ministry of Education, Science and Technology","ror":"https://ror.org/01p262204"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W125917929","https://openalex.org/W1544837488","https://openalex.org/W1560262122","https://openalex.org/W1562646198","https://openalex.org/W1698439592","https://openalex.org/W1707184011","https://openalex.org/W1965232248","https://openalex.org/W1971922616","https://openalex.org/W2011009207","https://openalex.org/W2044675702","https://openalex.org/W2104495462","https://openalex.org/W2107697055","https://openalex.org/W2128507946","https://openalex.org/W2128782367","https://openalex.org/W2150855759","https://openalex.org/W2170060345","https://openalex.org/W2293458749","https://openalex.org/W2298313545","https://openalex.org/W4254373586"],"related_works":["https://openalex.org/W2097492617","https://openalex.org/W4378651134","https://openalex.org/W2753240997","https://openalex.org/W1764168690","https://openalex.org/W2537959205","https://openalex.org/W2740895074","https://openalex.org/W2772446090","https://openalex.org/W4284893819","https://openalex.org/W2249809453","https://openalex.org/W2160606508"],"abstract_inverted_index":{"Malicious":[0],"software,":[1],"or":[2],"malware":[3,23,44,57,118,136],"for":[4,133],"short,":[5],"is":[6],"one":[7],"of":[8,63,77,101,115],"the":[9,75,98,108],"most":[10],"serious":[11],"threats":[12],"to":[13,54],"computer":[14],"systems.":[15],"There":[16],"are":[17,30],"various":[18],"disguise":[19],"techniques":[20,29],"that":[21,107],"hide":[22],"from":[24,86],"being":[25],"detected,":[26],"and":[27,68,83],"these":[28],"becoming":[31],"more":[32,124],"sophisticated.":[33],"Traditional":[34],"signature-based":[35],"detection":[36,66,95,137],"systems":[37],"often":[38],"can":[39],"not":[40],"cope":[41],"with":[42],"disguised":[43,56],"timely.":[45],"In":[46],"this":[47],"paper,":[48],"we":[49],"propose":[50],"a":[51,64,69,81,102,113],"new":[52],"approach":[53],"detect":[55],"scripts.":[58],"The":[59,90,128],"proposed":[60,109],"system":[61,110,129],"consists":[62],"metric-based":[65],"algorithm":[67,92],"hybrid":[70],"genetic":[71,91],"algorithm.":[72],"We":[73],"use":[74],"frequencies":[76],"token":[78],"occurrences":[79],"as":[80],"metric,":[82],"separate":[84],"identifiers":[85],"other":[87],"program":[88],"tokens.":[89],"tries":[93],"further":[94],"by":[96],"extracting":[97],"main":[99],"core":[100],"program.":[103],"Experimental":[104],"tests":[105],"showed":[106],"successfully":[111],"detected":[112],"number":[114],"newly":[116],"generated":[117],"scripts":[119],"which":[120,138],"existing":[121],"anti-viruses":[122],"missed":[123],"than":[125],"half":[126],"of.":[127],"would":[130],"be":[131],"suitable":[132],"an":[134],"offline":[135],"requires":[139],"high":[140],"quality.":[141]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}