{"id":"https://openalex.org/W3114964331","doi":"https://doi.org/10.1109/tim.2020.3048521","title":"Robust Intrusion Events Recognition Methodology for Distributed Optical Fiber Sensing Perimeter Security System","display_name":"Robust Intrusion Events Recognition Methodology for Distributed Optical Fiber Sensing Perimeter Security System","publication_year":2020,"publication_date":"2020-12-31","ids":{"openalex":"https://openalex.org/W3114964331","doi":"https://doi.org/10.1109/tim.2020.3048521","mag":"3114964331"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2020.3048521","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.3048521","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5033765861","display_name":"Chengang Lyu","orcid":"https://orcid.org/0000-0002-8374-291X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chengang Lyu","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080105310","display_name":"Ziqiang Huo","orcid":"https://orcid.org/0000-0003-0326-7870"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziqiang Huo","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001270732","display_name":"Yage Liu","orcid":"https://orcid.org/0000-0003-2581-8290"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yage Liu","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xin Cheng","orcid":"https://orcid.org/0000-0001-8431-8304"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xin Cheng","raw_affiliation_strings":["Photonics Research Center, Hong Kong Polytechnic University, Kowloon, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Photonics Research Center, Hong Kong Polytechnic University, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048554336","display_name":"Jianying Jiang","orcid":"https://orcid.org/0000-0002-4524-3407"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianying Jiang","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050829911","display_name":"Alimina Alimasi","orcid":"https://orcid.org/0000-0003-4616-0184"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Alimina Alimasi","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066144350","display_name":"Jiachen Yang","orcid":"https://orcid.org/0000-0003-2558-552X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiachen Yang","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002530343","display_name":"Hansong Su","orcid":"https://orcid.org/0000-0001-7872-6037"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hansong Su","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5033765861"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":1.6641,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.84536207,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10205","display_name":"Advanced Fiber Optic Sensors","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10205","display_name":"Advanced Fiber Optic Sensors","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9965000152587891,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.7564823627471924},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.702781081199646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5715153217315674},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.569904088973999},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5380157828330994},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5180882811546326},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5034617781639099},{"id":"https://openalex.org/keywords/intrusion","display_name":"Intrusion","score":0.4908948540687561},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4851863980293274},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45110005140304565},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.435337632894516},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.42632603645324707},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35764968395233154},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34409812092781067},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11430534720420837}],"concepts":[{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.7564823627471924},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.702781081199646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5715153217315674},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.569904088973999},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5380157828330994},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5180882811546326},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5034617781639099},{"id":"https://openalex.org/C158251709","wikidata":"https://www.wikidata.org/wiki/Q354025","display_name":"Intrusion","level":2,"score":0.4908948540687561},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4851863980293274},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45110005140304565},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.435337632894516},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.42632603645324707},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35764968395233154},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34409812092781067},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11430534720420837},{"id":"https://openalex.org/C17409809","wikidata":"https://www.wikidata.org/wiki/Q161764","display_name":"Geochemistry","level":1,"score":0.0},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2020.3048521","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.3048521","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G4647783419","display_name":null,"funder_award_id":"62075163","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W772516945","https://openalex.org/W1732574345","https://openalex.org/W1985789779","https://openalex.org/W1990499319","https://openalex.org/W2048462089","https://openalex.org/W2064013146","https://openalex.org/W2112739286","https://openalex.org/W2116891862","https://openalex.org/W2123629452","https://openalex.org/W2601450892","https://openalex.org/W2772587047","https://openalex.org/W2773407640","https://openalex.org/W2791980288","https://openalex.org/W2803187616","https://openalex.org/W2809681145","https://openalex.org/W2895786783","https://openalex.org/W2912249918","https://openalex.org/W2953212672","https://openalex.org/W2963314614","https://openalex.org/W2963388949","https://openalex.org/W2963403868","https://openalex.org/W2970245649","https://openalex.org/W2981318525","https://openalex.org/W2986258400","https://openalex.org/W3016203149","https://openalex.org/W4385245566","https://openalex.org/W6735236233","https://openalex.org/W6739901393","https://openalex.org/W6751420435"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2357468538","https://openalex.org/W1577110157","https://openalex.org/W2355007334","https://openalex.org/W2906422846","https://openalex.org/W2390009783","https://openalex.org/W4254602698","https://openalex.org/W2394461323","https://openalex.org/W2349441905","https://openalex.org/W2133389611"],"abstract_inverted_index":{"Accurately":[0],"detecting":[1],"man-made":[2],"intrusion":[3,44,60,82,124,150],"from":[4,35],"different":[5],"events":[6,28,125,138,151],"is":[7,142,162],"of":[8,29,43,81,88,95,123,136,149,171],"great":[9],"significance":[10],"for":[11],"distributed":[12],"optical":[13],"fiber":[14],"sensing":[15],"perimeter":[16],"security":[17],"system.":[18],"Most":[19],"traditional":[20],"algorithms":[21],"lack":[22],"the":[23,41,79,92,106,112,119,133,147,158,169],"ability":[24,107],"to":[25,51,108],"reject":[26,111],"various":[27],"unknown":[30,113,140],"class":[31,128,141],"which":[32,70,145,166],"are":[33],"mainly":[34],"natural":[36],"disturbance,":[37],"and":[38,75,104,110],"greatly":[39],"decline":[40],"accuracy":[42,122,148],"recognition":[45,62,76,121,159],"in":[46,153],"field":[47,117,155],"application.":[48],"In":[49,116],"order":[50],"solve":[52],"this":[53],"problem,":[54],"we":[55],"proposed":[56],"a":[57],"novel":[58],"robust":[59],"event":[61],"scheme":[63],"based":[64,77],"on":[65,78],"convolutional":[66,97],"prototype":[67,89],"network":[68,99],"(CPL),":[69],"realized":[71],"end-to-end":[72],"feature":[73],"extraction":[74],"similarity":[80],"signals":[83],"by":[84],"integrating":[85],"relevant":[86],"variables":[87],"learning":[90],"into":[91],"training":[93],"process":[94],"multiscale":[96],"neural":[98],"(MSCNN)":[100],"as":[101,126,139],"trainable":[102],"parameters,":[103],"had":[105],"recognize":[109],"disturbance":[114,137],"events.":[115],"experiments,":[118],"average":[120],"known":[127],"can":[129],"reach":[130],"84.67%,":[131],"with":[132],"rejection":[134],"rate":[135],"about":[143,163],"83.75%,":[144],"ensure":[146],"monitoring":[152],"complex":[154],"environments.":[156],"And":[157],"response":[160],"time":[161],"17":[164],"ms,":[165],"also":[167],"meets":[168],"need":[170],"real-time":[172],"monitoring.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
