{"id":"https://openalex.org/W2567172578","doi":"https://doi.org/10.1109/icnp.2016.7785326","title":"MS-LSTM: A multi-scale LSTM model for BGP anomaly detection","display_name":"MS-LSTM: A multi-scale LSTM model for BGP anomaly detection","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2567172578","doi":"https://doi.org/10.1109/icnp.2016.7785326","mag":"2567172578"},"language":"en","primary_location":{"id":"doi:10.1109/icnp.2016.7785326","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnp.2016.7785326","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 24th International Conference on Network Protocols (ICNP)","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/A5014113638","display_name":"Min Cheng","orcid":"https://orcid.org/0000-0001-5742-5948"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Min Cheng","raw_affiliation_strings":["City University of Hong Kong, Kowloon, HK"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Kowloon, HK","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100685884","display_name":"Qian Xu","orcid":"https://orcid.org/0000-0001-9350-8273"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qian Xu","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108641889","display_name":"Jianming L.V.","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianming L.V.","raw_affiliation_strings":["South China University of Technology, Guangzhou, Guangdong, CN"],"affiliations":[{"raw_affiliation_string":"South China University of Technology, Guangzhou, Guangdong, CN","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073720799","display_name":"Wenyin Liu","orcid":"https://orcid.org/0000-0002-6237-6607"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyin Liu","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100734609","display_name":"Qing Li","orcid":"https://orcid.org/0000-0002-6071-473X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qing Li","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100356291","display_name":"Jianping Wang","orcid":"https://orcid.org/0000-0002-9318-1482"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jianping Wang","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5014113638"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":6.411,"has_fulltext":false,"cited_by_count":80,"citation_normalized_percentile":{"value":0.96839397,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"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/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/T12326","display_name":"Network Packet Processing and Optimization","score":0.9984999895095825,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8449482917785645},{"id":"https://openalex.org/keywords/long-short-term-memory","display_name":"Long short term memory","score":0.697675883769989},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6810437440872192},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.611315131187439},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.5451003313064575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.536388099193573},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.530833899974823},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4361479878425598},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.41850727796554565},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3966940641403198},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3932737410068512},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3600670397281647},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.16918215155601501},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.1387380063533783},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.08935204148292542}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8449482917785645},{"id":"https://openalex.org/C133488467","wikidata":"https://www.wikidata.org/wiki/Q6673524","display_name":"Long short term memory","level":4,"score":0.697675883769989},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6810437440872192},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.611315131187439},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.5451003313064575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.536388099193573},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.530833899974823},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4361479878425598},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.41850727796554565},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3966940641403198},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3932737410068512},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3600670397281647},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.16918215155601501},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.1387380063533783},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.08935204148292542},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/icnp.2016.7785326","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnp.2016.7785326","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 24th International Conference on Network Protocols (ICNP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.44999998807907104}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W5975117","https://openalex.org/W1509056624","https://openalex.org/W2012095206","https://openalex.org/W2015535581","https://openalex.org/W2044535354","https://openalex.org/W2061351406","https://openalex.org/W2064675550","https://openalex.org/W2107509798","https://openalex.org/W2122585011","https://openalex.org/W2134583708","https://openalex.org/W2143612262","https://openalex.org/W2149600645","https://openalex.org/W2150755264","https://openalex.org/W2151996692","https://openalex.org/W2163462010","https://openalex.org/W2186910770","https://openalex.org/W2902455138","https://openalex.org/W6600223538","https://openalex.org/W6630612530","https://openalex.org/W6756753118"],"related_works":["https://openalex.org/W2353818951","https://openalex.org/W1605879311","https://openalex.org/W2611980620","https://openalex.org/W2357468538","https://openalex.org/W2385763735","https://openalex.org/W1577110157","https://openalex.org/W2386394344","https://openalex.org/W2355007334","https://openalex.org/W205872183","https://openalex.org/W2972328880"],"abstract_inverted_index":{"Detecting":[0],"anomalous":[1],"Border":[2],"Gateway":[3],"Protocol":[4],"(BGP)":[5],"traffic":[6,31,85,107],"is":[7,55],"significantly":[8],"important":[9],"in":[10,45,90,160],"improving":[11],"both":[12],"security":[13],"and":[14,43,82,125],"robustness":[15],"of":[16,33,115,139],"the":[17,30,39,49,74,84,106,113,126,161],"Internet.":[18],"Existing":[19],"solutions":[20],"apply":[21],"classic":[22],"classifiers":[23],"to":[24,38,72,104],"make":[25],"real-time":[26],"decision":[27,50],"based":[28,51],"on":[29,52,112],"features":[32,54,89],"present":[34],"moment.":[35],"However,":[36],"due":[37],"frequently":[40],"happening":[41],"burst":[42],"noise":[44],"dynamic":[46],"Internet":[47,75],"traffic,":[48],"short-term":[53],"not":[56],"reliable.":[57],"To":[58],"address":[59],"this":[60,119],"problem,":[61],"we":[62,97],"propose":[63],"MS-LSTM,":[64],"a":[65,78,91,130],"multi-scale":[66],"Long":[67],"Short-Term":[68],"Memory":[69],"(LSTM)":[70],"model":[71],"consider":[73],"flow":[76,108],"as":[77,141,143],"multi-dimensional":[79],"time":[80,93,102,132,153],"sequence":[81],"learn":[83],"pattern":[86],"from":[87],"historical":[88],"sliding":[92],"window.":[94],"In":[95,118],"addition,":[96],"find":[98],"that":[99,129],"adopting":[100],"different":[101],"scale":[103,133,154],"preprocess":[105],"has":[109],"great":[110],"impact":[111],"performance":[114],"all":[116,144],"classifiers.":[117],"paper,":[120],"comprehensive":[121],"experiments":[122],"are":[123],"conducted":[124],"results":[127],"show":[128],"proper":[131],"can":[134,156],"improve":[135],"about":[136],"10%":[137],"accuracy":[138,159],"LSTM":[140],"well":[142],"conventional":[145],"machine":[146],"learning":[147],"methods.":[148],"Particularly,":[149],"MS-LSTM":[150],"with":[151],"optimal":[152],"8":[155],"achieve":[157],"99.5%":[158],"best":[162],"case.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
