{"id":"https://openalex.org/W2901479405","doi":"https://doi.org/10.1109/ictc.2018.8539519","title":"The Method of Seed Based Grouping Malicious Traffic by Deep-Learning","display_name":"The Method of Seed Based Grouping Malicious Traffic by Deep-Learning","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2901479405","doi":"https://doi.org/10.1109/ictc.2018.8539519","mag":"2901479405"},"language":"en","primary_location":{"id":"doi:10.1109/ictc.2018.8539519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2018.8539519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","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/A5017881028","display_name":"Ui-Jun Baek","orcid":null},"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":"Ui-Jun Baek","raw_affiliation_strings":["Korea Univ. Network Management Lab, Sejong, Korea"],"affiliations":[{"raw_affiliation_string":"Korea Univ. Network Management Lab, Sejong, Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024755068","display_name":"Jee-Tae Park","orcid":null},"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":"Jee-Tae Park","raw_affiliation_strings":["Korea Univ. Network Management Lab, Sejong, Korea"],"affiliations":[{"raw_affiliation_string":"Korea Univ. Network Management Lab, Sejong, Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000438748","display_name":"Huru Hasanova","orcid":"https://orcid.org/0000-0003-4316-2395"},"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":"Huru Hasanova","raw_affiliation_strings":["Korea Univ. Network Management Lab, Sejong, Korea"],"affiliations":[{"raw_affiliation_string":"Korea Univ. Network Management Lab, Sejong, Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072981897","display_name":"Myung nSup Kim","orcid":null},"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":"Myung nSup Kim","raw_affiliation_strings":["Korea Univ. Network Management Lab, Sejong, Korea"],"affiliations":[{"raw_affiliation_string":"Korea Univ. Network Management Lab, Sejong, Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017881028"],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":0.3691,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65691947,"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":"701","last_page":"705"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.995199978351593,"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":0.9868999719619751,"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/variety","display_name":"Variety (cybernetics)","score":0.789222240447998},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7352926135063171},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5870198011398315},{"id":"https://openalex.org/keywords/traffic-classification","display_name":"Traffic classification","score":0.5122734904289246},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4753967225551605},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46501949429512024},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.45198383927345276},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.4396998882293701},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4147634208202362},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4079040586948395},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32875123620033264}],"concepts":[{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.789222240447998},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7352926135063171},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5870198011398315},{"id":"https://openalex.org/C169988225","wikidata":"https://www.wikidata.org/wiki/Q7832484","display_name":"Traffic classification","level":3,"score":0.5122734904289246},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4753967225551605},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46501949429512024},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.45198383927345276},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.4396998882293701},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4147634208202362},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4079040586948395},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32875123620033264},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictc.2018.8539519","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc.2018.8539519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.49000000953674316,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4380075502","https://openalex.org/W4301398392","https://openalex.org/W2997818875","https://openalex.org/W4379534844","https://openalex.org/W266939152","https://openalex.org/W3103293871","https://openalex.org/W2587627203","https://openalex.org/W3178296362","https://openalex.org/W2924962435","https://openalex.org/W2393595964"],"abstract_inverted_index":{"Today\u2019s":[0],"networks":[1],"are":[2],"growing":[3],"rapidly":[4],"and":[5,19,37,51,107],"the":[6,22,34,44,58,98,115],"network":[7,35,45,61],"sector":[8],"is":[9,30,39,55],"an":[10],"important":[11],"factor":[12],"in":[13,57],"developing":[14],"a":[15,25,68,78,90],"variety":[16,26,91],"of":[17,27,60,80,92,95,114],"applications":[18],"services.":[20],"At":[21],"same":[23],"time,":[24],"malicious":[28,53,75,100],"traffic":[29,54,76,81,101],"occurring":[31],"that":[32],"threatens":[33],"environment,":[36],"it":[38],"causing":[40],"massive":[41],"damage":[42],"to":[43,49,72,88],"environment.":[46],"Thus":[47],"research":[48],"analyze":[50],"detect":[52],"essential":[56],"field":[59],"management.":[62],"In":[63],"this":[64],"paper,":[65],"we":[66],"propose":[67],"method":[69],"based":[70],"deep-learning":[71],"distinguish":[73],"only":[74],"from":[77],"set":[79],"mixed":[82],"with":[83],"normal":[84],"traffic.":[85],"We":[86,104],"intend":[87],"test":[89],"different":[93],"groups":[94],"experiments":[96],"using":[97],"proposed":[99],"detection":[102,110],"model.":[103],"will":[105],"improve":[106],"enhance":[108],"our":[109],"model":[111],"through":[112],"analysis":[113],"result.":[116]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}