{"id":"https://openalex.org/W3048779965","doi":"https://doi.org/10.1109/infocomwkshps50562.2020.9162971","title":"Poster Abstract: Encrypted Malware Traffic Detection Using Incremental Learning","display_name":"Poster Abstract: Encrypted Malware Traffic Detection Using Incremental Learning","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3048779965","doi":"https://doi.org/10.1109/infocomwkshps50562.2020.9162971","mag":"3048779965"},"language":"en","primary_location":{"id":"doi:10.1109/infocomwkshps50562.2020.9162971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocomwkshps50562.2020.9162971","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","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/A5064588553","display_name":"Inseop Lee","orcid":"https://orcid.org/0000-0002-9822-9860"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Insup Lee","raw_affiliation_strings":["Network and Security Research Lab., School of Cybersecurity, Korea University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Network and Security Research Lab., School of Cybersecurity, Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020502122","display_name":"Heejun Roh","orcid":"https://orcid.org/0000-0002-6432-3234"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Heejun Roh","raw_affiliation_strings":["Division of Applied Mathematical Sciences, Korea University, Sejong, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Division of Applied Mathematical Sciences, Korea University, Sejong, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100602693","display_name":"Wonjun Lee","orcid":"https://orcid.org/0000-0001-5286-6541"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wonjun Lee","raw_affiliation_strings":["Network and Security Research Lab., School of Cybersecurity, Korea University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Network and Security Research Lab., School of Cybersecurity, Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064588553"],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":1.3876,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.82857766,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":1.0,"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":1.0,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9994999766349792,"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":0.8012279272079468},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.7519476413726807},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.7379860877990723},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.632573664188385},{"id":"https://openalex.org/keywords/traffic-classification","display_name":"Traffic classification","score":0.5615527033805847},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4739401638507843},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.4712536633014679},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4301113486289978},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41610345244407654},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.4128651022911072},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3976110517978668},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.33578506112098694},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.32866913080215454},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.18420317769050598}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8012279272079468},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.7519476413726807},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.7379860877990723},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.632573664188385},{"id":"https://openalex.org/C169988225","wikidata":"https://www.wikidata.org/wiki/Q7832484","display_name":"Traffic classification","level":3,"score":0.5615527033805847},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4739401638507843},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.4712536633014679},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4301113486289978},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41610345244407654},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.4128651022911072},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3976110517978668},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.33578506112098694},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.32866913080215454},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.18420317769050598},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocomwkshps50562.2020.9162971","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocomwkshps50562.2020.9162971","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2537766808","https://openalex.org/W2743556905","https://openalex.org/W2758219826","https://openalex.org/W2919493784","https://openalex.org/W2942239200"],"related_works":["https://openalex.org/W2097492617","https://openalex.org/W2753240997","https://openalex.org/W1764168690","https://openalex.org/W3152891574","https://openalex.org/W4284893819","https://openalex.org/W4316881845","https://openalex.org/W2179036394","https://openalex.org/W1568303756","https://openalex.org/W4206905835","https://openalex.org/W2613715541"],"abstract_inverted_index":{"Even":[0],"though":[1],"the":[2,17,29,78,91],"growing":[3],"adoption":[4],"of":[5],"TLS":[6,18],"protocol":[7],"empowers":[8],"web":[9],"traffic":[10,31,44],"to":[11,19],"secure":[12],"privacy,":[13],"attackers":[14],"also":[15],"leverage":[16],"evade":[20],"from":[21,28,69],"detection,":[22],"and":[23,72,99],"this":[24,36],"makes":[25],"detecting":[26],"threats":[27],"encrypted":[30,42],"a":[32,103],"crucial":[33],"task.":[34],"In":[35],"paper,":[37],"we":[38],"propose":[39],"an":[40],"effective":[41],"malware":[43],"detection":[45,92],"method":[46,60,93],"that":[47,77],"maintains":[48],"sufficient":[49],"performance":[50],"level":[51],"by":[52,65,97],"periodic":[53],"updates":[54],"using":[55],"machine":[56],"learning.":[57],"The":[58],"proposed":[59],"employs":[61],"incremental":[62,79],"algorithms":[63],"trained":[64],"31":[66],"flow":[67],"features":[68],"TLS,":[70],"HTTP,":[71],"DNS.":[73],"Experimental":[74],"results":[75],"show":[76],"Support":[80],"Vector":[81],"Machine":[82],"with":[83],"Stochastic":[84],"Gradient":[85],"Descent":[86],"algorithm":[87],"is":[88],"suitable":[89],"for":[90],"amongst":[94],"three":[95],"algorithms,":[96],"off-line":[98],"on-line":[100],"accuracy":[101],"at":[102],"low":[104],"false":[105],"discovery":[106],"rate.":[107]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
