{"id":"https://openalex.org/W4390188507","doi":"https://doi.org/10.1109/latincom59467.2023.10361868","title":"Towards Robust AI Model for Cyber-Physical Intelligent Transportation Systems by Hash-Based Ensemble Learning","display_name":"Towards Robust AI Model for Cyber-Physical Intelligent Transportation Systems by Hash-Based Ensemble Learning","publication_year":2023,"publication_date":"2023-11-15","ids":{"openalex":"https://openalex.org/W4390188507","doi":"https://doi.org/10.1109/latincom59467.2023.10361868"},"language":"en","primary_location":{"id":"doi:10.1109/latincom59467.2023.10361868","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/latincom59467.2023.10361868","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Latin-American Conference on Communications (LATINCOM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5027084430","display_name":"K. M. Azharul Hasan","orcid":"https://orcid.org/0000-0003-1228-9043"},"institutions":[{"id":"https://openalex.org/I75256744","display_name":"Tennessee State University","ror":"https://ror.org/01fpczx89","country_code":"US","type":"education","lineage":["https://openalex.org/I75256744"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kamrul Hasan","raw_affiliation_strings":["Tennessee State University,Nashville,TN,USA","Tennessee State University, Nashville, TN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tennessee State University,Nashville,TN,USA","institution_ids":["https://openalex.org/I75256744"]},{"raw_affiliation_string":"Tennessee State University, Nashville, TN, USA","institution_ids":["https://openalex.org/I75256744"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093577157","display_name":"Varshini Guduru","orcid":null},"institutions":[{"id":"https://openalex.org/I75256744","display_name":"Tennessee State University","ror":"https://ror.org/01fpczx89","country_code":"US","type":"education","lineage":["https://openalex.org/I75256744"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Varshini Guduru","raw_affiliation_strings":["Tennessee State University,Nashville,TN,USA","Tennessee State University, Nashville, TN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tennessee State University,Nashville,TN,USA","institution_ids":["https://openalex.org/I75256744"]},{"raw_affiliation_string":"Tennessee State University, Nashville, TN, USA","institution_ids":["https://openalex.org/I75256744"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082740003","display_name":"Saleh Zein-Sabatto","orcid":null},"institutions":[{"id":"https://openalex.org/I75256744","display_name":"Tennessee State University","ror":"https://ror.org/01fpczx89","country_code":"US","type":"education","lineage":["https://openalex.org/I75256744"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saleh Zein-Sabatto","raw_affiliation_strings":["Tennessee State University,Nashville,TN,USA","Tennessee State University, Nashville, TN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tennessee State University,Nashville,TN,USA","institution_ids":["https://openalex.org/I75256744"]},{"raw_affiliation_string":"Tennessee State University, Nashville, TN, USA","institution_ids":["https://openalex.org/I75256744"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005990642","display_name":"Deo Chimba","orcid":"https://orcid.org/0000-0002-2881-1417"},"institutions":[{"id":"https://openalex.org/I75256744","display_name":"Tennessee State University","ror":"https://ror.org/01fpczx89","country_code":"US","type":"education","lineage":["https://openalex.org/I75256744"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deo Chimba","raw_affiliation_strings":["Tennessee State University,Nashville,TN,USA","Tennessee State University, Nashville, TN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tennessee State University,Nashville,TN,USA","institution_ids":["https://openalex.org/I75256744"]},{"raw_affiliation_string":"Tennessee State University, Nashville, TN, USA","institution_ids":["https://openalex.org/I75256744"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047901063","display_name":"Imtiaz Ahmed","orcid":"https://orcid.org/0000-0001-6465-532X"},"institutions":[{"id":"https://openalex.org/I137853757","display_name":"Howard University","ror":"https://ror.org/05gt1vc06","country_code":"US","type":"education","lineage":["https://openalex.org/I137853757"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Imtiaz Ahmed","raw_affiliation_strings":["Howard University,Washington,DC,USA","Howard University, Washington, DC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Howard University,Washington,DC,USA","institution_ids":["https://openalex.org/I137853757"]},{"raw_affiliation_string":"Howard University, Washington, DC, USA","institution_ids":["https://openalex.org/I137853757"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3548,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52049706,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"7","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":0.9990000128746033,"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":0.9990000128746033,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9983000159263611,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9959999918937683,"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":0.7893868684768677},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.7646536231040955},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.629881739616394},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5810447335243225},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5736266374588013},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5414751172065735},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.5289961099624634},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.49698641896247864},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.4962225556373596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48871350288391113},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.43982747197151184},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35494276881217957},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3136860132217407}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7893868684768677},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7646536231040955},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.629881739616394},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5810447335243225},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5736266374588013},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5414751172065735},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.5289961099624634},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.49698641896247864},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.4962225556373596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48871350288391113},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.43982747197151184},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35494276881217957},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3136860132217407}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/latincom59467.2023.10361868","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/latincom59467.2023.10361868","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Latin-American Conference on Communications (LATINCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5929958471","display_name":"Targeted Infusion Project: Collaborative Cloud-Edge Artificial Intelligence in Cyber-physical Systems","funder_award_id":"2205773","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2295541421","https://openalex.org/W2548066934","https://openalex.org/W2902106343","https://openalex.org/W2997357271","https://openalex.org/W3006249124","https://openalex.org/W3011203842","https://openalex.org/W3168047084","https://openalex.org/W3213330817","https://openalex.org/W3215608198","https://openalex.org/W4214611867","https://openalex.org/W4285404754","https://openalex.org/W4292387498","https://openalex.org/W4313855795"],"related_works":["https://openalex.org/W4366990902","https://openalex.org/W4317732970","https://openalex.org/W2944292463","https://openalex.org/W4388550696","https://openalex.org/W3014252901","https://openalex.org/W4321636153","https://openalex.org/W2122022187","https://openalex.org/W4313289487","https://openalex.org/W2115529843","https://openalex.org/W2188759683"],"abstract_inverted_index":{"In":[0],"the":[1,22,27,55,118,126],"evolving":[2],"landscape":[3],"of":[4,29,58,66],"vehicular":[5],"technology,":[6],"autonomous":[7],"and":[8,19,101,115],"connected":[9],"features":[10],"lead":[11],"to":[12,24,41],"heightened":[13],"connectivity":[14],"among":[15],"vehicles,":[16],"intelligent":[17],"devices,":[18],"infrastructures,":[20],"broadening":[21],"vulnerability":[23,65],"cyber-attacks":[25],"within":[26],"Internet":[28],"Vehicles":[30],"(IoV)":[31],"systems.":[32],"Intrusion":[33],"Detection":[34],"Systems":[35],"(IDSs)":[36],"leverage":[37],"Machine":[38],"Learning":[39],"(ML)":[40],"detect":[42],"these":[43],"malicious":[44],"intrusions,":[45],"but":[46],"they":[47],"face":[48],"challenges":[49],"from":[50],"data":[51,60,68,93],"poisoning":[52,94],"attacks,":[53],"given":[54],"critical":[56],"role":[57],"training":[59,67,87],"in":[61],"threat":[62,73],"modeling.":[63],"The":[64],"emerges":[69],"as":[70],"a":[71,82,132],"significant":[72],"vector":[74,113],"during":[75,96],"ML":[76,86,108],"model":[77,97,130],"training.":[78,98],"This":[79],"study":[80],"introduces":[81],"hash":[83],"function-enabled":[84],"ensemble":[85,107],"framework":[88,104],"tailored":[89],"for":[90],"IDS,":[91],"mitigating":[92],"attacks":[95],"We":[99],"test":[100],"validate":[102],"our":[103],"using":[105],"hash-enabled":[106,127],"algorithms-including":[109],"random":[110,128],"forests,":[111],"support":[112],"machines,":[114],"decision":[116],"trees-on":[117],"benchmark":[119],"CICIDS":[120],"2017":[121],"dataset.":[122],"Results":[123],"demonstrate":[124],"that":[125],"forests":[129],"guarantees":[131],"misclassification":[133],"rate":[134],"below":[135],"0.5%.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-09T07:27:16.801131","created_date":"2025-10-10T00:00:00"}
