{"id":"https://openalex.org/W2032387488","doi":"https://doi.org/10.1145/2184512.2184579","title":"Applying random projection to the classification of malicious applications using data mining algorithms","display_name":"Applying random projection to the classification of malicious applications using data mining algorithms","publication_year":2012,"publication_date":"2012-03-29","ids":{"openalex":"https://openalex.org/W2032387488","doi":"https://doi.org/10.1145/2184512.2184579","mag":"2032387488"},"language":"en","primary_location":{"id":"doi:10.1145/2184512.2184579","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2184512.2184579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 50th Annual Southeast Regional Conference","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/A5050746548","display_name":"Jan Durand","orcid":null},"institutions":[{"id":"https://openalex.org/I919208787","display_name":"Louisiana Tech University","ror":"https://ror.org/04q9esz89","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I919208787"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jan Durand","raw_affiliation_strings":["Louisiana Tech University, Ruston, LA","Louisiana Tech. University, Ruston, LA"],"affiliations":[{"raw_affiliation_string":"Louisiana Tech University, Ruston, LA","institution_ids":["https://openalex.org/I919208787"]},{"raw_affiliation_string":"Louisiana Tech. University, Ruston, LA","institution_ids":["https://openalex.org/I919208787"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050233765","display_name":"Travis Atkison","orcid":"https://orcid.org/0000-0001-7258-7355"},"institutions":[{"id":"https://openalex.org/I919208787","display_name":"Louisiana Tech University","ror":"https://ror.org/04q9esz89","country_code":"US","type":"education","lineage":["https://openalex.org/I2799628689","https://openalex.org/I919208787"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Travis Atkison","raw_affiliation_strings":["Louisiana Tech University, Ruston, LA","Louisiana Tech. University, Ruston, LA"],"affiliations":[{"raw_affiliation_string":"Louisiana Tech University, Ruston, LA","institution_ids":["https://openalex.org/I919208787"]},{"raw_affiliation_string":"Louisiana Tech. University, Ruston, LA","institution_ids":["https://openalex.org/I919208787"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5050746548"],"corresponding_institution_ids":["https://openalex.org/I919208787"],"apc_list":null,"apc_paid":null,"fwci":0.7105,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.80938204,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"286","last_page":"291"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9998000264167786,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9991999864578247,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9991000294685364,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7558081150054932},{"id":"https://openalex.org/keywords/random-projection","display_name":"Random projection","score":0.7144286632537842},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7087640762329102},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6941607594490051},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6762291193008423},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6313011050224304},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6184987425804138},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6164777278900146},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.5588309168815613},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5525941848754883},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5491372346878052},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.533580482006073},{"id":"https://openalex.org/keywords/c4.5-algorithm","display_name":"C4.5 algorithm","score":0.5277414917945862},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4905652403831482},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.47980502247810364},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47961270809173584},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.46961694955825806},{"id":"https://openalex.org/keywords/executable","display_name":"Executable","score":0.4303207993507385},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.42284369468688965},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.350508451461792}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7558081150054932},{"id":"https://openalex.org/C2777036070","wikidata":"https://www.wikidata.org/wiki/Q18393452","display_name":"Random projection","level":2,"score":0.7144286632537842},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7087640762329102},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6941607594490051},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6762291193008423},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6313011050224304},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6184987425804138},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6164777278900146},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.5588309168815613},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5525941848754883},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5491372346878052},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.533580482006073},{"id":"https://openalex.org/C52003472","wikidata":"https://www.wikidata.org/wiki/Q1022655","display_name":"C4.5 algorithm","level":4,"score":0.5277414917945862},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4905652403831482},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.47980502247810364},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47961270809173584},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46961694955825806},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.4303207993507385},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42284369468688965},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.350508451461792},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2184512.2184579","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2184512.2184579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 50th Annual Southeast Regional Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G650455502","display_name":null,"funder_award_id":"FA9550-10-1-0289","funder_id":"https://openalex.org/F4320338294","funder_display_name":"Air Force Research Laboratory"}],"funders":[{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W8870360","https://openalex.org/W101893524","https://openalex.org/W192227941","https://openalex.org/W588536578","https://openalex.org/W1510458496","https://openalex.org/W1565379513","https://openalex.org/W1570448133","https://openalex.org/W1660390307","https://openalex.org/W1924689489","https://openalex.org/W1964993491","https://openalex.org/W1971517512","https://openalex.org/W1979044407","https://openalex.org/W1996350342","https://openalex.org/W2037757210","https://openalex.org/W2053171205","https://openalex.org/W2063392856","https://openalex.org/W2063491776","https://openalex.org/W2070535792","https://openalex.org/W2073414385","https://openalex.org/W2088122374","https://openalex.org/W2089497633","https://openalex.org/W2097278375","https://openalex.org/W2099053789","https://openalex.org/W2121749752","https://openalex.org/W2125055259","https://openalex.org/W2129650357","https://openalex.org/W2135508918","https://openalex.org/W2144270983","https://openalex.org/W2144796713","https://openalex.org/W2152761983","https://openalex.org/W2165357553","https://openalex.org/W2166858086","https://openalex.org/W2166901988","https://openalex.org/W2170770919","https://openalex.org/W2176446742","https://openalex.org/W2180101149","https://openalex.org/W2435251607","https://openalex.org/W2913668833","https://openalex.org/W2966207845","https://openalex.org/W2979473749","https://openalex.org/W3015571647","https://openalex.org/W3097609957","https://openalex.org/W4241226388","https://openalex.org/W4250557832","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1995118279","https://openalex.org/W4240624848","https://openalex.org/W2106647409","https://openalex.org/W744859113","https://openalex.org/W2887207835","https://openalex.org/W2958312716","https://openalex.org/W4282041905","https://openalex.org/W3001178684","https://openalex.org/W2596988290","https://openalex.org/W2398816077"],"abstract_inverted_index":{"This":[0],"research":[1],"is":[2],"part":[3],"of":[4,12,26,75,115,122,141],"a":[5,17,38,58,130],"continuing":[6],"effort":[7],"to":[8,28,45,57,78,105,109],"show":[9],"the":[10,24,63,71,106,113,120,123,139],"viability":[11],"using":[13,62,129],"random":[14,64,135],"projection":[15,65,136],"as":[16],"feature":[18,48,60,72],"extraction":[19],"and":[20,70,101,126,145],"reduction":[21],"technique":[22],"in":[23],"classification":[25],"malware":[27],"produce":[29,46,79,110],"more":[30],"accurate":[31],"classifiers.":[32,148],"In":[33],"this":[34],"paper,":[35],"we":[36,54],"use":[37],"vector":[39,99,143],"space":[40],"model":[41],"with":[42],"n-gram":[43],"analysis":[44],"weighted":[47],"vectors":[49],"from":[50],"binary":[51],"executables,":[52],"which":[53],"then":[55,85],"reduce":[56],"smaller":[59],"set":[61,132],"method":[66,74],"proposed":[67],"by":[68,134],"Achlioptas,":[69],"selection":[73],"mutual":[76],"information":[77],"two":[80],"separate":[81],"data":[82,107,131],"sets.":[83],"We":[84,118],"apply":[86],"several":[87],"popular":[88],"machine":[89,144],"learning":[90],"algorithms":[91],"including":[92],"J48":[93],"decision":[94],"tree,":[95],"na\u00efve":[96],"Bayes,":[97],"support":[98,142],"machines,":[100],"an":[102],"instance-based":[103,146],"learner":[104,147],"sets":[108],"classifiers":[111,125],"for":[112],"detection":[114],"malicious":[116],"executables.":[117],"evaluate":[119],"performance":[121,140],"different":[124],"discover":[127],"that":[128],"reduced":[133],"can":[137],"improve":[138]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}