{"id":"https://openalex.org/W4385882149","doi":"https://doi.org/10.1109/bmsb58369.2023.10211127","title":"Traffic Anomaly Detection for Smart Grid based on Hierarchical Spatial-Temporal Feature Learning","display_name":"Traffic Anomaly Detection for Smart Grid based on Hierarchical Spatial-Temporal Feature Learning","publication_year":2023,"publication_date":"2023-06-14","ids":{"openalex":"https://openalex.org/W4385882149","doi":"https://doi.org/10.1109/bmsb58369.2023.10211127"},"language":"en","primary_location":{"id":"doi:10.1109/bmsb58369.2023.10211127","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bmsb58369.2023.10211127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","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/A5015748422","display_name":"Guoli Feng","orcid":"https://orcid.org/0000-0003-2248-3798"},"institutions":[{"id":"https://openalex.org/I4210132981","display_name":"Ningxia Water Conservancy","ror":"https://ror.org/02p2qrw13","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210132981"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guoli Feng","raw_affiliation_strings":["Information & Telecommunication Company, State Grid Ningxia Electric Power Company,Ningxia,China"],"affiliations":[{"raw_affiliation_string":"Information & Telecommunication Company, State Grid Ningxia Electric Power Company,Ningxia,China","institution_ids":["https://openalex.org/I4210132981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100387163","display_name":"Ning Wang","orcid":"https://orcid.org/0000-0002-6224-8656"},"institutions":[{"id":"https://openalex.org/I4210132981","display_name":"Ningxia Water Conservancy","ror":"https://ror.org/02p2qrw13","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210132981"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Wang","raw_affiliation_strings":["Information & Telecommunication Company, State Grid Ningxia Electric Power Company,Ningxia,China"],"affiliations":[{"raw_affiliation_string":"Information & Telecommunication Company, State Grid Ningxia Electric Power Company,Ningxia,China","institution_ids":["https://openalex.org/I4210132981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068018800","display_name":"Xinnan Ha","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132981","display_name":"Ningxia Water Conservancy","ror":"https://ror.org/02p2qrw13","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210132981"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinnan Ha","raw_affiliation_strings":["Information & Telecommunication Company, State Grid Ningxia Electric Power Company,Ningxia,China"],"affiliations":[{"raw_affiliation_string":"Information & Telecommunication Company, State Grid Ningxia Electric Power Company,Ningxia,China","institution_ids":["https://openalex.org/I4210132981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318748","display_name":"Xiaobo Li","orcid":"https://orcid.org/0000-0002-2752-749X"},"institutions":[{"id":"https://openalex.org/I4210132981","display_name":"Ningxia Water Conservancy","ror":"https://ror.org/02p2qrw13","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210132981"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobo Li","raw_affiliation_strings":["Information & Telecommunication Company, State Grid Ningxia Electric Power Company,Ningxia,China"],"affiliations":[{"raw_affiliation_string":"Information & Telecommunication Company, State Grid Ningxia Electric Power Company,Ningxia,China","institution_ids":["https://openalex.org/I4210132981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111132003","display_name":"Run Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132981","display_name":"Ningxia Water Conservancy","ror":"https://ror.org/02p2qrw13","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210132981"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Run Ma","raw_affiliation_strings":["Information & Telecommunication Company, State Grid Ningxia Electric Power Company,Ningxia,China"],"affiliations":[{"raw_affiliation_string":"Information & Telecommunication Company, State Grid Ningxia Electric Power Company,Ningxia,China","institution_ids":["https://openalex.org/I4210132981"]}]},{"author_position":"last","author":{"id":null,"display_name":"Peng Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng Lin","raw_affiliation_strings":["Beijing Vectinfo Technologies Co., Ltd.,Beijing,China","Beijing Vectinfo Technologies Co., Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Vectinfo Technologies Co., Ltd.,Beijing,China","institution_ids":[]},{"raw_affiliation_string":"Beijing Vectinfo Technologies Co., Ltd., Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5015748422"],"corresponding_institution_ids":["https://openalex.org/I4210132981"],"apc_list":null,"apc_paid":null,"fwci":0.1981,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50247091,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"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":0.9998000264167786,"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":0.9998000264167786,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987000226974487,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9970999956130981,"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/computer-science","display_name":"Computer science","score":0.7650257349014282},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.7510102987289429},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5535491108894348},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.523696780204773},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4974992573261261},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.48088815808296204},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.46520596742630005},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4334977865219116},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3659537732601166},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3532782793045044},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15859171748161316},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.10878592729568481}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7650257349014282},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.7510102987289429},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5535491108894348},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.523696780204773},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4974992573261261},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.48088815808296204},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.46520596742630005},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4334977865219116},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3659537732601166},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3532782793045044},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15859171748161316},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.10878592729568481},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmsb58369.2023.10211127","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bmsb58369.2023.10211127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2031163547","https://openalex.org/W2772317693","https://openalex.org/W2884585870","https://openalex.org/W2928165649","https://openalex.org/W2985572930","https://openalex.org/W3008535060","https://openalex.org/W3016266335","https://openalex.org/W3021973688","https://openalex.org/W3096966075","https://openalex.org/W3187905760","https://openalex.org/W4297810817","https://openalex.org/W6753038380","https://openalex.org/W6753412334"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W2999756192","https://openalex.org/W103652678","https://openalex.org/W4226090359","https://openalex.org/W2059697060","https://openalex.org/W936373746","https://openalex.org/W2975817033","https://openalex.org/W4382701072"],"abstract_inverted_index":{"With":[0,26],"the":[1,9,20,27,49,78,167,173,186,192,200],"development":[2,80],"of":[3,30,53,65,74,81,151,188,194,204],"computer":[4],"technology":[5],"and":[6,19,51,105,116,133,142,161,198],"communication":[7],"technology,":[8],"demand":[10],"for":[11,70,99],"broadband":[12,40,82],"smart":[13,33,54,59,71,83,100,205],"grid":[14,34,55,60,72,101],"services":[15],"is":[16,23,61,73,164],"rising":[17],"rapidly,":[18],"network":[21,42],"traffic":[22,50,67,89,195],"growing":[24],"rapidly.":[25],"digital":[28],"evolution":[29],"power":[31,41],"grid,":[32],"has":[35],"also":[36],"emerged,":[37],"which":[38],"makes":[39],"more":[43,162,170],"widely":[44],"used.":[45],"In":[46],"recent":[47],"years,":[48],"bandwidth":[52],"have":[56],"increased":[57],"dramatically,":[58],"facing":[62],"increasing":[63],"risk":[64],"attack,":[66],"anomaly":[68,90,196],"detection":[69,91],"great":[75],"significance":[76],"to":[77,109,112,122,158,166],"healthy":[79],"grid.":[84,206],"This":[85,126],"paper":[86],"proposes":[87],"a":[88],"method":[92,127],"based":[93],"on":[94],"hierarchical":[95],"spatial-temporal":[96],"feature":[97,139,149,189],"learning":[98],"service,":[102],"using":[103],"Res2Net":[104],"Spatial":[106],"Attention":[107],"Mechanism":[108],"improve":[110],"CNN":[111],"extract":[113,123],"spatial":[114,134,143,148,159],"features,":[115,160],"then":[117],"connect":[118],"Bidirectional":[119],"LSTM":[120],"module":[121,141],"temporal":[124,131],"features.":[125],"extracts":[128],"features":[129],"from":[130],"granularity":[132],"granularity.":[135],"By":[136],"adding":[137],"multi-scale":[138],"extraction":[140],"attention":[144,163],"module,":[145],"while":[146],"obtaining":[147],"information":[150,179],"different":[152,154],"scales,":[153],"weights":[155],"are":[156],"given":[157],"paid":[165],"parts":[168],"containing":[169],"key":[171,178],"information,":[172],"part":[174],"that":[175],"contains":[176],"less":[177,182],"will":[180],"be":[181],"concerned,":[183],"thereby":[184],"enhancing":[185],"ability":[187],"representation,":[190],"improving":[191],"accuracy":[193],"detection,":[197],"reducing":[199],"false":[201],"alarm":[202],"rate":[203]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}