{"id":"https://openalex.org/W4399255470","doi":"https://doi.org/10.1145/3661638.3661640","title":"Classification of BGP Anomalies Using GRU with BGP Update Messages","display_name":"Classification of BGP Anomalies Using GRU with BGP Update Messages","publication_year":2023,"publication_date":"2023-12-22","ids":{"openalex":"https://openalex.org/W4399255470","doi":"https://doi.org/10.1145/3661638.3661640"},"language":"en","primary_location":{"id":"doi:10.1145/3661638.3661640","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3661638.3661640","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Artificial Intelligence, Systems and Network Security","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/A5045850266","display_name":"Ying Ji","orcid":"https://orcid.org/0009-0003-0713-7587"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying Ji","raw_affiliation_strings":["China Mobile (Suzhou) Software Technology Co., Ltd, China"],"raw_orcid":"https://orcid.org/0009-0003-0713-7587","affiliations":[{"raw_affiliation_string":"China Mobile (Suzhou) Software Technology Co., Ltd, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091505644","display_name":"Jining Huang","orcid":"https://orcid.org/0009-0008-2610-3338"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyu Huang","raw_affiliation_strings":["China Mobile (Suzhou) Software Technology Co., Ltd, China"],"raw_orcid":"https://orcid.org/0009-0008-2610-3338","affiliations":[{"raw_affiliation_string":"China Mobile (Suzhou) Software Technology Co., Ltd, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"last","author":{"id":null,"display_name":"Pengcheng Jin","orcid":"https://orcid.org/0009-0002-7989-2090"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengcheng Jin","raw_affiliation_strings":["China Mobile (Suzhou) Software Technology Co., Ltd, China"],"raw_orcid":"https://orcid.org/0009-0002-7989-2090","affiliations":[{"raw_affiliation_string":"China Mobile (Suzhou) Software Technology Co., Ltd, China","institution_ids":["https://openalex.org/I180662265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045850266"],"corresponding_institution_ids":["https://openalex.org/I180662265"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27743189,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9988999962806702,"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":0.9988999962806702,"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.9947999715805054,"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/border-gateway-protocol","display_name":"Border Gateway Protocol","score":0.9493441581726074},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7861403226852417},{"id":"https://openalex.org/keywords/denial-of-service-attack","display_name":"Denial-of-service attack","score":0.6214897632598877},{"id":"https://openalex.org/keywords/default-free-zone","display_name":"Default-free zone","score":0.6059762239456177},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5872881412506104},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5745626091957092},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.43557676672935486},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42704737186431885},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3757357895374298},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35052192211151123},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3183932900428772},{"id":"https://openalex.org/keywords/routing-protocol","display_name":"Routing protocol","score":0.19283708930015564},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09139791131019592}],"concepts":[{"id":"https://openalex.org/C178086212","wikidata":"https://www.wikidata.org/wiki/Q11155","display_name":"Border Gateway Protocol","level":5,"score":0.9493441581726074},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7861403226852417},{"id":"https://openalex.org/C38822068","wikidata":"https://www.wikidata.org/wiki/Q131406","display_name":"Denial-of-service attack","level":3,"score":0.6214897632598877},{"id":"https://openalex.org/C101396714","wikidata":"https://www.wikidata.org/wiki/Q3021187","display_name":"Default-free zone","level":5,"score":0.6059762239456177},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5872881412506104},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5745626091957092},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.43557676672935486},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42704737186431885},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3757357895374298},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35052192211151123},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3183932900428772},{"id":"https://openalex.org/C104954878","wikidata":"https://www.wikidata.org/wiki/Q1648707","display_name":"Routing protocol","level":3,"score":0.19283708930015564},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09139791131019592},{"id":"https://openalex.org/C47318570","wikidata":"https://www.wikidata.org/wiki/Q8026863","display_name":"Wireless Routing Protocol","level":4,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.0},{"id":"https://openalex.org/C184896649","wikidata":"https://www.wikidata.org/wiki/Q290066","display_name":"Routing table","level":4,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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:10.1145/3661638.3661640","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3661638.3661640","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Artificial Intelligence, Systems and Network Security","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":5,"referenced_works":["https://openalex.org/W4205671740","https://openalex.org/W4211097633","https://openalex.org/W4214590728","https://openalex.org/W4283701207","https://openalex.org/W4310511513"],"related_works":["https://openalex.org/W2159943424","https://openalex.org/W2536809794","https://openalex.org/W2375534108","https://openalex.org/W3202068393","https://openalex.org/W2393962653","https://openalex.org/W2391574262","https://openalex.org/W2312391375","https://openalex.org/W2752569328","https://openalex.org/W1567526064","https://openalex.org/W2156839650"],"abstract_inverted_index":{"With":[0],"the":[1,5,38,43,47,50,54,58,67,130,163,166],"increasing":[2],"reliance":[3],"on":[4,129],"Internet,":[6],"its":[7],"reliability":[8,41],"and":[9,29,40,62,116,145,169,174],"security":[10],"have":[11,72,85],"become":[12],"major":[13],"concerns.":[14],"The":[15],"Border":[16],"Gateway":[17],"Protocol":[18],"(BGP)":[19],"is":[20],"susceptible":[21],"to":[22,37,65,108,124,150],"anomalies":[23,52,61,78,112,127],"such":[24],"as":[25],"hijacking,":[26],"configuration":[27],"errors,":[28],"denial-of-service":[30],"attacks,":[31],"which":[32],"can":[33,56],"pose":[34],"significant":[35],"threats":[36],"performance":[39,164],"of":[42,60,89,165],"Internet.":[44],"However,":[45],"with":[46,113,162],"methods":[48],"for":[49,75,102],"BGP":[51,77,111,126,134],"classification,":[53],"operators":[55],"understand":[57],"cause":[59],"take":[63],"action":[64],"solve":[66],"problems.":[68],"Recently,":[69],"various":[70],"techniques":[71],"been":[73],"proposed":[74],"classifying":[76,103],"utilizing":[79],"machine":[80],"learning":[81],"models.":[82],"Nevertheless,":[83],"we":[84,118],"identified":[86],"some":[87],"limitations":[88],"these":[90],"classification":[91],"models":[92],"that":[93,156],"raise":[94],"doubts":[95],"regarding":[96],"their":[97],"applicability":[98],"in":[99],"real-world":[100],"scenarios":[101],"new":[104],"anomalies.":[105],"In":[106],"order":[107],"better":[109],"classify":[110,125],"high":[114],"accuracy":[115],"efficiency,":[117],"introduce":[119],"Gate":[120],"Recurrent":[121],"Unit":[122],"(GRU)":[123],"based":[128],"features":[131],"selected":[132],"from":[133],"update":[135],"messages.":[136],"Notably,":[137],"our":[138,157],"method":[139,158],"boasts":[140],"a":[141],"leaner":[142],"parameter":[143],"set":[144],"converges":[146],"more":[147],"rapidly":[148],"compared":[149],"alternative":[151],"approaches.":[152],"Experimental":[153],"results":[154],"demonstrate":[155],"outperforms":[159],"other":[160],"methods,":[161],"precision,":[167],"recall":[168],"F1-score":[170],"are":[171],"100%,":[172],"77%":[173],"87%":[175],"respectively.":[176]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}