{"id":"https://openalex.org/W2991838577","doi":"https://doi.org/10.1109/icawst.2019.8923583","title":"Selection of Effective Features for BGP Anomaly Detection","display_name":"Selection of Effective Features for BGP Anomaly Detection","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2991838577","doi":"https://doi.org/10.1109/icawst.2019.8923583","mag":"2991838577"},"language":"en","primary_location":{"id":"doi:10.1109/icawst.2019.8923583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2019.8923583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","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/A5060750457","display_name":"Tatsuya Arai","orcid":"https://orcid.org/0000-0002-2328-9519"},"institutions":[{"id":"https://openalex.org/I6090238","display_name":"Iwate Prefectural University","ror":"https://ror.org/054dx8336","country_code":"JP","type":"education","lineage":["https://openalex.org/I6090238"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tatsuya Arai","raw_affiliation_strings":["Software and Information Science, Iwate Prefectural University, Japan"],"affiliations":[{"raw_affiliation_string":"Software and Information Science, Iwate Prefectural University, Japan","institution_ids":["https://openalex.org/I6090238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104025685","display_name":"Kotaro Nakano","orcid":null},"institutions":[{"id":"https://openalex.org/I6090238","display_name":"Iwate Prefectural University","ror":"https://ror.org/054dx8336","country_code":"JP","type":"education","lineage":["https://openalex.org/I6090238"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kotaro Nakano","raw_affiliation_strings":["Software and Information Science, Iwate Prefectural University, Japan"],"affiliations":[{"raw_affiliation_string":"Software and Information Science, Iwate Prefectural University, Japan","institution_ids":["https://openalex.org/I6090238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101612450","display_name":"Basabi Chakraborty","orcid":"https://orcid.org/0000-0002-6211-9790"},"institutions":[{"id":"https://openalex.org/I6090238","display_name":"Iwate Prefectural University","ror":"https://ror.org/054dx8336","country_code":"JP","type":"education","lineage":["https://openalex.org/I6090238"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Basabi Chakraborty","raw_affiliation_strings":["Faculty of Software and Information Science, Iwate Prefectural University, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Software and Information Science, Iwate Prefectural University, Japan","institution_ids":["https://openalex.org/I6090238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060750457"],"corresponding_institution_ids":["https://openalex.org/I6090238"],"apc_list":null,"apc_paid":null,"fwci":0.7001,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.78706853,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9995999932289124,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9962000250816345,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9916999936103821,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6731822490692139},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6380753517150879},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6221643686294556},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.535483717918396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3012588620185852}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6731822490692139},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6380753517150879},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6221643686294556},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.535483717918396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3012588620185852},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icawst.2019.8923583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2019.8923583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1500895378","https://openalex.org/W1535040167","https://openalex.org/W1601795611","https://openalex.org/W1663973292","https://openalex.org/W1685464609","https://openalex.org/W1937741266","https://openalex.org/W1998632008","https://openalex.org/W2043409701","https://openalex.org/W2061351406","https://openalex.org/W2111817166","https://openalex.org/W2148143831","https://openalex.org/W2152677993","https://openalex.org/W2154053567","https://openalex.org/W2542543501","https://openalex.org/W2800067566","https://openalex.org/W2802369598","https://openalex.org/W2922856096","https://openalex.org/W2963951026","https://openalex.org/W4233468348","https://openalex.org/W6637461618","https://openalex.org/W6640380507"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W3030345572"],"abstract_inverted_index":{"Border":[0],"Gateway":[1],"Protocol":[2],"(BGP)":[3],"is":[4,25,99,128,144],"the":[5,40,66,139],"internet's":[6],"default":[7],"protocol":[8],"for":[9,46,55,85,105,124,138],"managing":[10],"connectivity":[11],"between":[12],"Autonomous":[13],"Systems":[14],"(AS).":[15],"Anomalies":[16],"happen":[17],"to":[18,21,28,100],"occur":[19],"time":[20,22],"and":[23,38,88],"it":[24],"a":[26,69],"threat":[27],"cyber":[29],"security.":[30],"There":[31],"are":[32,53,79,122,136],"various":[33],"types":[34],"of":[35,57,76,96,107],"BGP":[36,58,61,82,108],"anomalies":[37],"over":[39],"years":[41],"researches":[42],"have":[43],"been":[44],"done":[45],"their":[47],"detection.":[48],"Here":[49],"machine":[50],"learning":[51],"techniques":[52],"used":[54,123],"detection":[56,106],"anomaly":[59],"from":[60,81],"update":[62,83],"messages":[63,84],"by":[64,146],"considering":[65],"problem":[67],"as":[68,115,117],"two":[70],"class":[71],"classification":[72,141],"problem.":[73],"A":[74],"set":[75],"35":[77],"features":[78,104,135],"extracted":[80],"Slammer,":[86],"Nimda":[87],"Code":[89],"Red":[90],"I":[91],"attacks.":[92],"The":[93],"main":[94],"objective":[95],"this":[97],"study":[98],"find":[101],"out":[102],"important":[103],"anomaly.":[109],"Popular":[110],"feature":[111,125],"selection":[112],"algorithms,":[113],"wrapper":[114],"well":[116],"several":[118,147],"filter":[119],"based":[120],"algorithms":[121],"ranking.":[126],"It":[127],"found":[129],"that":[130],"at":[131],"most":[132],"top":[133],"10":[134],"sufficient":[137],"best":[140],"accuracy":[142],"which":[143],"verified":[145],"classifiers.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}