{"id":"https://openalex.org/W4390755066","doi":"https://doi.org/10.1109/tie.2023.3347834","title":"Secure State Estimation for Train-to-Train Communication Systems: A Neural Network-Aided Robust EKF Approach","display_name":"Secure State Estimation for Train-to-Train Communication Systems: A Neural Network-Aided Robust EKF Approach","publication_year":2024,"publication_date":"2024-01-11","ids":{"openalex":"https://openalex.org/W4390755066","doi":"https://doi.org/10.1109/tie.2023.3347834"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2023.3347834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2023.3347834","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Industrial Electronics","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/A5066145547","display_name":"Xiangyu Kong","orcid":"https://orcid.org/0000-0002-2012-1972"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiang-Yu Kong","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031737874","display_name":"Guang\u2010Hong Yang","orcid":"https://orcid.org/0000-0002-8911-0112"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang-Hong Yang","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China","State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5066145547"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":5.4556,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.96105431,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"71","issue":"10","first_page":"13092","last_page":"13102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9930999875068665,"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"}},"topics":[{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9930999875068665,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.987500011920929,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9837999939918518,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.7925879955291748},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.6218412518501282},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5982666015625},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.4985370635986328},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.48635345697402954},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47942131757736206},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4780595600605011},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3719066381454468},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.25697416067123413}],"concepts":[{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.7925879955291748},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6218412518501282},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5982666015625},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.4985370635986328},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.48635345697402954},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47942131757736206},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4780595600605011},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3719066381454468},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25697416067123413},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tie.2023.3347834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2023.3347834","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Industrial Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6299999952316284}],"awards":[{"id":"https://openalex.org/G5053323464","display_name":null,"funder_award_id":"U1908213","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8086002158","display_name":null,"funder_award_id":"61621004","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2089114113","https://openalex.org/W2389555968","https://openalex.org/W2352634297","https://openalex.org/W80107739","https://openalex.org/W2020144404","https://openalex.org/W2560215812","https://openalex.org/W4372347353","https://openalex.org/W2149615975","https://openalex.org/W2162299404","https://openalex.org/W2103062922"],"abstract_inverted_index":{"This":[0],"article":[1],"studies":[2],"the":[3,19,30,53,63,82,85,91,95,108,113,118,122,128,131,138,144,148,157,162],"problem":[4],"of":[5,69,84,94,147,161],"secure":[6,21],"state":[7,22],"estimation":[8,23,86,123,129,145],"for":[9,25,47,140],"train-to-train":[10],"communication":[11],"systems":[12,27],"subject":[13],"to":[14,61,80,99,102,107,135],"deception":[15,33,67,119],"attacks.":[16],"Different":[17],"from":[18,29],"existing":[20],"methods":[24],"linear":[26],"suffering":[28],"occasionally":[31],"occurring":[32],"attacks,":[34],"a":[35,57,75,103,153],"neural":[36],"network":[37],"(NN)-aided":[38],"robust":[39,65],"extended":[40],"Kalman":[41],"filter":[42,149],"(EKF)":[43],"method":[44,55,164],"is":[45,78,97,133],"proposed":[46,54,163],"nonlinear":[48],"discrete":[49],"train":[50],"systems,":[51],"where":[52],"introduces":[56],"residual":[58,93],"saturation":[59,109],"function":[60],"render":[62],"EKF":[64,96,139],"against":[66],"attacks":[68,89,120],"different":[70,166],"magnitudes":[71],"and":[72,74,142,159],"durations,":[73],"sufficient":[76],"condition":[77],"derived":[79],"guarantee":[81],"boundedness":[83],"errors.":[87],"When":[88],"occur,":[90],"distorted":[92],"able":[98],"be":[100],"limited":[101],"finite":[104],"range":[105],"due":[106],"constraint,":[110],"which":[111],"alleviates":[112],"negative":[114],"effects":[115],"induced":[116],"by":[117],"on":[121,152],"performance.":[124],"To":[125],"further":[126],"improve":[127],"accuracy,":[130],"NN":[132],"used":[134],"cascade":[136],"with":[137],"predicting":[141],"correcting":[143],"errors":[146],"online.":[150],"Experiments":[151],"semiphysical":[154],"platform":[155],"validate":[156],"effectiveness":[158],"advantage":[160],"in":[165],"scenarios.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
