{"id":"https://openalex.org/W4382936274","doi":"https://doi.org/10.23919/acc55779.2023.10155846","title":"A Physics-Informed Neural Network Approach Towards Cyber Attack Detection in Vehicle Platoons","display_name":"A Physics-Informed Neural Network Approach Towards Cyber Attack Detection in Vehicle Platoons","publication_year":2023,"publication_date":"2023-05-31","ids":{"openalex":"https://openalex.org/W4382936274","doi":"https://doi.org/10.23919/acc55779.2023.10155846"},"language":"en","primary_location":{"id":"doi:10.23919/acc55779.2023.10155846","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc55779.2023.10155846","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 American Control Conference (ACC)","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/A5065226313","display_name":"Shashank Dhananjay Vyas","orcid":"https://orcid.org/0000-0002-3025-6942"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shashank Dhananjay Vyas","raw_affiliation_strings":["The Pennsylvania State University, University Park,Department of Mechanical Engineering,Pennsylvania,USA,16802"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, University Park,Department of Mechanical Engineering,Pennsylvania,USA,16802","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036570670","display_name":"Shanthan Kumar Padisala","orcid":"https://orcid.org/0000-0003-1014-9143"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shanthan Kumar Padisala","raw_affiliation_strings":["The Pennsylvania State University, University Park,Department of Mechanical Engineering,Pennsylvania,USA,16802"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, University Park,Department of Mechanical Engineering,Pennsylvania,USA,16802","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011224880","display_name":"Satadru Dey","orcid":"https://orcid.org/0000-0002-8069-0181"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Satadru Dey","raw_affiliation_strings":["The Pennsylvania State University, University Park,Department of Mechanical Engineering,Pennsylvania,USA,16802"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, University Park,Department of Mechanical Engineering,Pennsylvania,USA,16802","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":0.4839,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69910524,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4537","last_page":"4542"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.993399977684021,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.993399977684021,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10917","display_name":"Smart Grid Security and Resilience","score":0.973800003528595,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/platoon","display_name":"Platoon","score":0.9553266763687134},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7066959142684937},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5772207379341125},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5500426292419434},{"id":"https://openalex.org/keywords/cyber-physical-system","display_name":"Cyber-physical system","score":0.5436484217643738},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5370378494262695},{"id":"https://openalex.org/keywords/cyber-attack","display_name":"Cyber-attack","score":0.44583559036254883},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2919013500213623},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.24747982621192932}],"concepts":[{"id":"https://openalex.org/C2777735972","wikidata":"https://www.wikidata.org/wiki/Q1061967","display_name":"Platoon","level":3,"score":0.9553266763687134},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7066959142684937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5772207379341125},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5500426292419434},{"id":"https://openalex.org/C179768478","wikidata":"https://www.wikidata.org/wiki/Q1120057","display_name":"Cyber-physical system","level":2,"score":0.5436484217643738},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5370378494262695},{"id":"https://openalex.org/C201307755","wikidata":"https://www.wikidata.org/wiki/Q4071928","display_name":"Cyber-attack","level":2,"score":0.44583559036254883},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2919013500213623},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.24747982621192932},{"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:10.23919/acc55779.2023.10155846","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc55779.2023.10155846","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1509362193","https://openalex.org/W1655377165","https://openalex.org/W1853291804","https://openalex.org/W2099005886","https://openalex.org/W2764008184","https://openalex.org/W2789620580","https://openalex.org/W2792608682","https://openalex.org/W2810405816","https://openalex.org/W2810662589","https://openalex.org/W2887430893","https://openalex.org/W2899283552","https://openalex.org/W2905010095","https://openalex.org/W3044866117","https://openalex.org/W3092172785","https://openalex.org/W3120197985","https://openalex.org/W3171202467","https://openalex.org/W3181418801","https://openalex.org/W3194496059","https://openalex.org/W4252380473","https://openalex.org/W6638908295","https://openalex.org/W6788437347","https://openalex.org/W6798816247"],"related_works":["https://openalex.org/W2358245908","https://openalex.org/W2974890647","https://openalex.org/W2907621616","https://openalex.org/W4385452087","https://openalex.org/W3203825827","https://openalex.org/W4321484089","https://openalex.org/W2296060994","https://openalex.org/W4240241597","https://openalex.org/W4304097726","https://openalex.org/W2177488045"],"abstract_inverted_index":{"Connected":[0],"and":[1,18,86,97,115,139],"Autonomous":[2],"Vehicles":[3],"(CAVs)":[4],"are":[5,31],"seen":[6],"as":[7,78,80,126],"a":[8,51,57],"promising":[9],"solution":[10],"to":[11,33,37,84,121,137],"reduce":[12],"traffic":[13],"congestion,":[14],"improve":[15],"passenger":[16],"comfort":[17],"fuel":[19],"economy.":[20],"Although":[21],"CAVs":[22],"address":[23],"such":[24],"needs":[25],"in":[26],"an":[27,108],"effective":[28],"way,":[29],"they":[30],"vulnerable":[32],"cyber":[34,52,142],"attacks":[35,93,98,143],"due":[36],"their":[38],"extensive":[39],"utilization":[40],"of":[41,46,75],"communication":[42,95],"networks.":[43],"In":[44],"light":[45],"this":[47],"problem,":[48],"we":[49],"present":[50],"attack":[53,123],"detection":[54],"framework":[55,106],"for":[56],"vehicle":[58],"platoon":[59,77],"based":[60,73],"on":[61],"physics-informed":[62],"neural":[63],"network":[64,96],"(PINN)":[65],"framework.":[66],"The":[67],"proposed":[68,133],"algorithm":[69,134],"exploits":[70],"the":[71,76,104,112,117,129,132],"physics":[72,113],"model":[74,114],"well":[79],"limited":[81],"available":[82],"data":[83],"detect":[85,138],"distinguish":[87,140],"cyber-attacks":[88],"from":[89,111],"various":[90,141],"sources,":[91],"namely,":[92],"affecting":[94,99],"local":[100],"vehicular":[101],"sensors.":[102],"Essentially,":[103],"PINN":[105],"learns":[107],"uncertain":[109],"parameter":[110,119],"utilizes":[116],"learned":[118],"knowledge":[120],"infer":[122],"scenarios.":[124],"Finally,":[125],"shown":[127],"through":[128],"simulation":[130],"studies,":[131],"is":[135],"able":[136],"showing":[144],"its":[145],"potential.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}