{"id":"https://openalex.org/W4317935435","doi":"https://doi.org/10.1145/3582009","title":"Real-time Cyber-Physical Security Solution Leveraging an Integrated Learning-Based Approach","display_name":"Real-time Cyber-Physical Security Solution Leveraging an Integrated Learning-Based Approach","publication_year":2023,"publication_date":"2023-01-25","ids":{"openalex":"https://openalex.org/W4317935435","doi":"https://doi.org/10.1145/3582009"},"language":"en","primary_location":{"id":"doi:10.1145/3582009","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3582009","pdf_url":null,"source":{"id":"https://openalex.org/S170502224","display_name":"ACM Transactions on Sensor Networks","issn_l":"1550-4859","issn":["1550-4859","1550-4867"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Sensor Networks","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/A5100401387","display_name":"Di Wang","orcid":"https://orcid.org/0000-0001-7030-6521"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Di Wang","raw_affiliation_strings":["Department of Industrial Engineering and Management, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Management, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024397951","display_name":"Fangyu Li","orcid":"https://orcid.org/0000-0003-2340-3622"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangyu Li","raw_affiliation_strings":["Faculty of Information Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Ministry of Education, and Beijing Laboratory for Urban Mass Transit, Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Ministry of Education, and Beijing Laboratory for Urban Mass Transit, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025012113","display_name":"Kaibo Liu","orcid":"https://orcid.org/0000-0003-2863-5748"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaibo Liu","raw_affiliation_strings":["Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI, USA","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100430876","display_name":"Xi Zhang","orcid":"https://orcid.org/0000-0003-3415-5345"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Zhang","raw_affiliation_strings":["Department of Industrial Engineering and Management, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Management, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100401387"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":2.6081,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.8989968,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"20","issue":"2","first_page":"1","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9995999932289124,"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":0.9995999932289124,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8678736686706543},{"id":"https://openalex.org/keywords/cyber-physical-system","display_name":"Cyber-physical system","score":0.744207501411438},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5424154996871948},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.47232693433761597},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4632059335708618},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.45887696743011475},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4114189147949219},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37015026807785034},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37003040313720703},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.11528098583221436}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8678736686706543},{"id":"https://openalex.org/C179768478","wikidata":"https://www.wikidata.org/wiki/Q1120057","display_name":"Cyber-physical system","level":2,"score":0.744207501411438},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5424154996871948},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.47232693433761597},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4632059335708618},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.45887696743011475},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4114189147949219},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37015026807785034},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37003040313720703},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.11528098583221436},{"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3582009","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3582009","pdf_url":null,"source":{"id":"https://openalex.org/S170502224","display_name":"ACM Transactions on Sensor Networks","issn_l":"1550-4859","issn":["1550-4859","1550-4867"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Sensor Networks","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G6337739370","display_name":null,"funder_award_id":"71932006, 72271009, and 72101148","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":38,"referenced_works":["https://openalex.org/W153533891","https://openalex.org/W1559384589","https://openalex.org/W1976262362","https://openalex.org/W1981477082","https://openalex.org/W2002254092","https://openalex.org/W2004626126","https://openalex.org/W2058401212","https://openalex.org/W2062180331","https://openalex.org/W2085302753","https://openalex.org/W2092891061","https://openalex.org/W2111877895","https://openalex.org/W2120685459","https://openalex.org/W2129429132","https://openalex.org/W2134425046","https://openalex.org/W2149278843","https://openalex.org/W2157202423","https://openalex.org/W2198623851","https://openalex.org/W2247875277","https://openalex.org/W2342361116","https://openalex.org/W2414564754","https://openalex.org/W2554148185","https://openalex.org/W2594536436","https://openalex.org/W2604210729","https://openalex.org/W2803355698","https://openalex.org/W2811043995","https://openalex.org/W2885012953","https://openalex.org/W2888338951","https://openalex.org/W2896463081","https://openalex.org/W2897600072","https://openalex.org/W2911921818","https://openalex.org/W2993178110","https://openalex.org/W3081064260","https://openalex.org/W3090456516","https://openalex.org/W3173935236","https://openalex.org/W3208964527","https://openalex.org/W4289743351","https://openalex.org/W6606251836","https://openalex.org/W6704533970"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W2807634898","https://openalex.org/W1692008701","https://openalex.org/W2942366970","https://openalex.org/W2597588799","https://openalex.org/W4360593462","https://openalex.org/W2562400057"],"abstract_inverted_index":{"Cyber-Physical":[0],"Systems":[1],"(CPS)":[2],"has":[3],"emerged":[4],"as":[5,23,49,51],"a":[6,34,80,91,106,127,133,152],"paradigm":[7],"that":[8,85,113],"connects":[9],"cyber":[10],"and":[11,28,55,59,63,71,94,129,174,192],"physical":[12],"worlds,":[13],"which":[14,165],"provides":[15],"unprecedented":[16],"opportunities":[17],"to":[18,44,67,125,146,160,167],"realize":[19],"intelligent":[20],"applications":[21],"such":[22],"smart":[24,26,29],"home,":[25],"cities,":[27],"manufacturing.":[30],"However,":[31],"CPS":[32,48,92,134],"faces":[33],"great":[35],"number":[36],"of":[37,47,73,90,132],"information":[38,69],"security":[39,70],"challenges":[40],"(e.g.,":[41],"attacks)":[42],"due":[43],"the":[45,52,97,117,120,142,162,170,183],"integration":[46],"well":[50],"human":[53],"behaviors":[54],"interactions.":[56],"Therefore,":[57],"accurate":[58],"real-time":[60,128],"attack":[61,89,98,163,172],"detection":[62,131],"identification":[64],"are":[65],"essential":[66],"ensure":[68],"reliability":[72],"CPS.":[74],"In":[75],"this":[76],"paper,":[77],"we":[78,104,149],"propose":[79],"novel":[81],"integrated":[82],"learning":[83],"method":[84,185],"accurately":[86,168],"detects":[87],"an":[88],"system":[93,135,143],"then":[95,150],"identifies":[96],"type":[99],"in":[100],"real":[101],"time.":[102],"Specifically,":[103],"consider":[105],"One-Class":[107],"Support":[108],"Vector":[109],"Machine":[110],"(OCSVM)":[111],"model":[112],"only":[114],"relies":[115],"on":[116],"data":[118],"from":[119],"normal":[121,138],"state":[122,136],"for":[123],"training":[124],"achieve":[126],"effective":[130],"(i.e.,":[137],"or":[139],"under-attack).":[140],"If":[141],"is":[144],"detected":[145],"be":[147],"under-attack,":[148],"develop":[151],"Pairwise":[153],"Self-supervised":[154],"Long":[155],"Short-Term":[156],"Memory":[157],"(PSLSTM)":[158],"approach":[159],"identify":[161],"type,":[164],"aims":[166],"distinguish":[169],"known":[171],"types":[173],"discover":[175],"unknown":[176],"new":[177],"attacks.":[178],"Lastly,":[179],"experimental":[180],"results":[181],"show":[182],"proposed":[184],"achieves":[186],"promising":[187],"performances":[188],"compared":[189],"with":[190],"conventional":[191],"state-of-the-art":[193],"learning-based":[194],"benchmarks.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}