{"id":"https://openalex.org/W4313498245","doi":"https://doi.org/10.1109/lars/sbr/wre56824.2022.9995917","title":"Detecting Data Injection Attacks in ROS Systems using Machine Learning","display_name":"Detecting Data Injection Attacks in ROS Systems using Machine Learning","publication_year":2022,"publication_date":"2022-10-18","ids":{"openalex":"https://openalex.org/W4313498245","doi":"https://doi.org/10.1109/lars/sbr/wre56824.2022.9995917"},"language":"en","primary_location":{"id":"doi:10.1109/lars/sbr/wre56824.2022.9995917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lars/sbr/wre56824.2022.9995917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Latin American Robotics Symposium (LARS), 2022 Brazilian Symposium on Robotics (SBR), and 2022 Workshop on Robotics in Education (WRE)","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/A5040775092","display_name":"Rodrigo Antunes","orcid":"https://orcid.org/0000-0003-3415-1985"},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rodrigo Abrantes Antunes","raw_affiliation_strings":["Universidade Federal do Rio Grande,Centro de Ci&#x00EA;ncias Computacionais,Rio Grande,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande,Centro de Ci&#x00EA;ncias Computacionais,Rio Grande,Brazil","institution_ids":["https://openalex.org/I126460647"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022197211","display_name":"Bruno L. Dalmazo","orcid":"https://orcid.org/0000-0002-6996-7602"},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Bruno L. Dalmazo","raw_affiliation_strings":["Universidade Federal do Rio Grande,Centro de Ci&#x00EA;ncias Computacionais,Rio Grande,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande,Centro de Ci&#x00EA;ncias Computacionais,Rio Grande,Brazil","institution_ids":["https://openalex.org/I126460647"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037041582","display_name":"Paulo Drews","orcid":"https://orcid.org/0000-0002-7519-0502"},"institutions":[{"id":"https://openalex.org/I126460647","display_name":"Universidade Federal do Rio Grande","ror":"https://ror.org/05hpfkn88","country_code":"BR","type":"education","lineage":["https://openalex.org/I126460647"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Paulo L. J. Drews","raw_affiliation_strings":["Universidade Federal do Rio Grande,Centro de Ci&#x00EA;ncias Computacionais,Rio Grande,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande,Centro de Ci&#x00EA;ncias Computacionais,Rio Grande,Brazil","institution_ids":["https://openalex.org/I126460647"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8556,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.75774401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"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":0.9997000098228455,"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":0.9997000098228455,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9986000061035156,"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":0.7498977780342102},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6599712371826172},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6392094492912292},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5829010009765625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5633237361907959},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.550847589969635},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.5162051320075989},{"id":"https://openalex.org/keywords/harm","display_name":"Harm","score":0.5068939328193665},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5046700239181519},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4900161325931549},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.48723188042640686},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.485532283782959},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4524662494659424},{"id":"https://openalex.org/keywords/fault-injection","display_name":"Fault injection","score":0.43280255794525146},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4294835925102234},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1332683265209198}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7498977780342102},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6599712371826172},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6392094492912292},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5829010009765625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5633237361907959},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.550847589969635},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.5162051320075989},{"id":"https://openalex.org/C2777363581","wikidata":"https://www.wikidata.org/wiki/Q15098235","display_name":"Harm","level":2,"score":0.5068939328193665},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5046700239181519},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4900161325931549},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.48723188042640686},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.485532283782959},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4524662494659424},{"id":"https://openalex.org/C2775928411","wikidata":"https://www.wikidata.org/wiki/Q2041312","display_name":"Fault injection","level":3,"score":0.43280255794525146},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4294835925102234},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1332683265209198},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lars/sbr/wre56824.2022.9995917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lars/sbr/wre56824.2022.9995917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Latin American Robotics Symposium (LARS), 2022 Brazilian Symposium on Robotics (SBR), and 2022 Workshop on Robotics in Education (WRE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W648871171","https://openalex.org/W1964973847","https://openalex.org/W1989065208","https://openalex.org/W2062948987","https://openalex.org/W2077618146","https://openalex.org/W2131444840","https://openalex.org/W2133590498","https://openalex.org/W2146881125","https://openalex.org/W2153635508","https://openalex.org/W2161630727","https://openalex.org/W2167340365","https://openalex.org/W2405455158","https://openalex.org/W2566780507","https://openalex.org/W2620076267","https://openalex.org/W2761119957","https://openalex.org/W2775683649","https://openalex.org/W2775701343","https://openalex.org/W2896680395","https://openalex.org/W2905022251","https://openalex.org/W2955398708","https://openalex.org/W3011211404","https://openalex.org/W3038555484","https://openalex.org/W3040779813","https://openalex.org/W3120908245","https://openalex.org/W4287665427","https://openalex.org/W4298202656","https://openalex.org/W6756486208","https://openalex.org/W6796320065","https://openalex.org/W6840893280"],"related_works":["https://openalex.org/W2604133224","https://openalex.org/W4234532445","https://openalex.org/W2062132293","https://openalex.org/W1508899372","https://openalex.org/W2356901839","https://openalex.org/W2159677757","https://openalex.org/W3203175338","https://openalex.org/W3044620288","https://openalex.org/W2357468538","https://openalex.org/W1577110157"],"abstract_inverted_index":{"In":[0,39,62],"recent":[1],"decades,":[2],"there":[3],"have":[4,10,94],"been":[5],"numerous":[6],"technological":[7],"advances":[8],"that":[9,50,96,100],"allowed":[11],"robots":[12],"to":[13,35,110,119],"share":[14],"more":[15,17],"and":[16,32,89,105],"space":[18],"with":[19],"humans.":[20],"However,":[21,91],"these":[22,166],"systems":[23],"are":[24,33],"built":[25],"on":[26],"top":[27],"of":[28,47,56,68,81,114,143,159,165],"traditional":[29],"computing":[30],"platforms":[31],"susceptible":[34],"the":[36,82,112,129,139,163],"same":[37],"cyber-attacks.":[38],"addition,":[40],"they":[41],"also":[42],"introduce":[43],"a":[44,54,65,144,153],"new":[45,66],"set":[46],"security":[48,104],"issues":[49],"can":[51,101],"result":[52],"in":[53,152,162],"breach":[55],"privacy":[57],"or":[58],"even":[59],"physical":[60],"harm.":[61],"this":[63],"context,":[64],"generation":[67],"robotics":[69],"software":[70],"has":[71],"gained":[72],"momentum.":[73],"The":[74],"Robot":[75],"Operating":[76],"System":[77],"(ROS)":[78],"is":[79],"one":[80],"most":[83],"popular":[84],"frameworks":[85],"for":[86],"robot":[87],"researchers":[88],"developers.":[90],"several":[92],"studies":[93],"shown":[95],"it":[97],"brings":[98],"vulnerabilities":[99],"compromise":[102],"its":[103],"reliability.":[106],"This":[107],"work":[108],"aims":[109],"evaluate":[111],"application":[113],"anomaly-based":[115],"intrusion":[116],"detection":[117,164],"techniques":[118],"recognize":[120],"data":[121],"injection":[122],"attacks.":[123,167],"A":[124],"model":[125],"was":[126,136],"proposed":[127],"using":[128],"support":[130],"vector":[131],"machine":[132],"(SVM)":[133],"algorithm,":[134],"which":[135],"trained":[137],"from":[138],"network":[140],"traffic":[141],"characteristics":[142],"ROS":[145],"application.":[146],"Results":[147],"obtained":[148],"through":[149],"experiments":[150],"conducted":[151],"simulated":[154],"environment":[155],"demonstrated":[156],"an":[157],"accuracy":[158],"about":[160],"92%":[161]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
