{"id":"https://openalex.org/W2185643225","doi":"https://doi.org/10.1109/cns.2015.7346820","title":"Separation of benign and malicious network events for accurate malware family classification","display_name":"Separation of benign and malicious network events for accurate malware family classification","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2185643225","doi":"https://doi.org/10.1109/cns.2015.7346820","mag":"2185643225"},"language":"en","primary_location":{"id":"doi:10.1109/cns.2015.7346820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cns.2015.7346820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Communications and Network Security (CNS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://conservancy.umn.edu/bitstreams/d89ed73e-0712-4c14-b6b6-7f3421be8ac5/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077436101","display_name":"Hesham Mekky","orcid":null},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hesham Mekky","raw_affiliation_strings":["University of Minnesota"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077402873","display_name":"Aziz Mohaisen","orcid":"https://orcid.org/0000-0003-3227-2505"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aziz Mohaisen","raw_affiliation_strings":["Verisign Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Verisign Labs","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100622097","display_name":"Zhi-Li Zhang","orcid":"https://orcid.org/0000-0001-8584-2319"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhi-Li Zhang","raw_affiliation_strings":["University of Minnesota"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"125","last_page":"133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994999766349792,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.9517087340354919},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8192708492279053},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5943562984466553},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5879615545272827},{"id":"https://openalex.org/keywords/sandbox","display_name":"Sandbox (software development)","score":0.5592272877693176},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5412400364875793},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5284500122070312},{"id":"https://openalex.org/keywords/traffic-classification","display_name":"Traffic classification","score":0.4998455047607422},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.47682422399520874},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4164218604564667},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2526180148124695},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.10664263367652893}],"concepts":[{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.9517087340354919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8192708492279053},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5943562984466553},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5879615545272827},{"id":"https://openalex.org/C167981075","wikidata":"https://www.wikidata.org/wiki/Q2667186","display_name":"Sandbox (software development)","level":2,"score":0.5592272877693176},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5412400364875793},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5284500122070312},{"id":"https://openalex.org/C169988225","wikidata":"https://www.wikidata.org/wiki/Q7832484","display_name":"Traffic classification","level":3,"score":0.4998455047607422},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.47682422399520874},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4164218604564667},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2526180148124695},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.10664263367652893},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cns.2015.7346820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cns.2015.7346820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Communications and Network Security (CNS)","raw_type":"proceedings-article"},{"id":"pmh:oai:conservancy.umn.edu:11299/215967","is_oa":true,"landing_page_url":"http://hdl.handle.net/11299/215967","pdf_url":"https://conservancy.umn.edu/bitstreams/d89ed73e-0712-4c14-b6b6-7f3421be8ac5/download","source":{"id":"https://openalex.org/S4306402521","display_name":"University of Minnesota Digital Conservancy (University of Minnesota)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130238516","host_organization_name":"University of Minnesota","host_organization_lineage":["https://openalex.org/I130238516"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Report"}],"best_oa_location":{"id":"pmh:oai:conservancy.umn.edu:11299/215967","is_oa":true,"landing_page_url":"http://hdl.handle.net/11299/215967","pdf_url":"https://conservancy.umn.edu/bitstreams/d89ed73e-0712-4c14-b6b6-7f3421be8ac5/download","source":{"id":"https://openalex.org/S4306402521","display_name":"University of Minnesota Digital Conservancy (University of Minnesota)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130238516","host_organization_name":"University of Minnesota","host_organization_lineage":["https://openalex.org/I130238516"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Report"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320332186","display_name":"Defense Threat Reduction Agency","ror":"https://ror.org/04tz64554"},{"id":"https://openalex.org/F4320333591","display_name":"Multidisciplinary University Research Initiative","ror":null},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2185643225.pdf","grobid_xml":"https://content.openalex.org/works/W2185643225.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W80155331","https://openalex.org/W94487276","https://openalex.org/W107619411","https://openalex.org/W155384935","https://openalex.org/W191098608","https://openalex.org/W1581009051","https://openalex.org/W1583098994","https://openalex.org/W1587106557","https://openalex.org/W1775772884","https://openalex.org/W1827212170","https://openalex.org/W1851403712","https://openalex.org/W1909494783","https://openalex.org/W1954903228","https://openalex.org/W1985987493","https://openalex.org/W2010439280","https://openalex.org/W2064274762","https://openalex.org/W2082550445","https://openalex.org/W2084979543","https://openalex.org/W2108384452","https://openalex.org/W2121749752","https://openalex.org/W2126401948","https://openalex.org/W2137964233","https://openalex.org/W2141224535","https://openalex.org/W2143426320","https://openalex.org/W2144112223","https://openalex.org/W2149701633","https://openalex.org/W2157825442","https://openalex.org/W2165357553","https://openalex.org/W2182468807","https://openalex.org/W2240887954","https://openalex.org/W2401054255","https://openalex.org/W2911964244","https://openalex.org/W3136767761","https://openalex.org/W4210400287","https://openalex.org/W6603260413","https://openalex.org/W6606342502","https://openalex.org/W6607784307","https://openalex.org/W6634779276","https://openalex.org/W6635142148","https://openalex.org/W6638021444","https://openalex.org/W6638623425","https://openalex.org/W6640663528","https://openalex.org/W6678051712","https://openalex.org/W6690350137","https://openalex.org/W6713023146"],"related_works":["https://openalex.org/W2033352828","https://openalex.org/W2355810117","https://openalex.org/W3098313552","https://openalex.org/W2034129977","https://openalex.org/W3099773647","https://openalex.org/W1745773915","https://openalex.org/W2765820957","https://openalex.org/W4367595269","https://openalex.org/W2294212083","https://openalex.org/W2889302474"],"abstract_inverted_index":{"Labeling":[0],"malware":[1,6,12,19,35,55,83,117,137,145,162,184],"samples":[2],"with":[3,59],"their":[4],"appropriate":[5],"family":[7,146,185],"helps":[8],"understand":[9],"and":[10,14,71,119,139,174],"track":[11],"evolution":[13],"develop":[15],"mitigation":[16],"techniques.":[17],"Current":[18],"analysis":[20],"techniques":[21],"that":[22,31,97,105,188],"use":[23,124,141],"supervised":[24],"machine":[25],"learning":[26],"rely":[27],"on":[28,34,85,182],"classification":[29,95,133,178],"models":[30,43],"are":[32,44],"trained":[33],"traffic":[36,56,63,88,113,118,163,200],"generated":[37],"from":[38,64],"a":[39,93,125,132],"sandbox":[40],"environment.":[41],"These":[42],"then":[45,140],"used":[46],"to":[47,79,109,130,143],"classify":[48],"future":[49],"unseen":[50,86],"observations.":[51],"In":[52],"practice,":[53],"however,":[54],"comes":[57],"mixed":[58],"other":[60],"legitimate":[61],"\u201cbackground\u201d":[62],"host":[65],"machines,":[66],"such":[67],"as":[68],"user":[69],"browsing":[70],"software":[72],"update":[73],"traffic.":[74,121],"Hence,":[75],"the":[76,81,111,149,152,189,198],"classifier's":[77],"accuracy":[78],"predict":[80,144],"correct":[82],"label":[84],"(mixed)":[87],"is":[89,157],"low.":[90],"We":[91,122],"propose":[92],"novel":[94],"system":[96,156,193],"uses":[98],"an":[99],"Independent":[100],"Component":[101],"Analysis":[102],"(ICA)":[103],"module":[104,129],"applies":[106],"distribution":[107],"decomposition":[108],"separate":[110],"observed":[112],"into":[114],"two":[115],"components,":[116],"background":[120,166,199],"also":[123],"random":[126],"forest":[127],"classifier":[128],"learn":[131],"model":[134],"for":[135],"every":[136],"family,":[138],"it":[142,171],"labels":[147],"using":[148],"output":[150],"of":[151,160,191],"ICA":[153],"module.":[154],"This":[155],"thus":[158],"capable":[159],"labeling":[161],"after":[164,196],"removing":[165,197],"artifacts":[167],"(\u201cnoise\u201d),":[168],"which":[169],"makes":[170],"more":[172],"efficient":[173],"accurate":[175],"than":[176],"current":[177],"methods.":[179],"Our":[180],"experiments":[181],"three":[183],"datasets":[186],"show":[187],"performance":[190],"our":[192],"improves":[194],"significantly":[195],"artifacts.":[201]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
