{"id":"https://openalex.org/W3101192011","doi":"https://doi.org/10.1109/dasc50938.2020.9256582","title":"Latent Dirichlet Allocation (LDA) for Anomaly Detection in Avionics Networks","display_name":"Latent Dirichlet Allocation (LDA) for Anomaly Detection in Avionics Networks","publication_year":2020,"publication_date":"2020-10-11","ids":{"openalex":"https://openalex.org/W3101192011","doi":"https://doi.org/10.1109/dasc50938.2020.9256582","mag":"3101192011"},"language":"en","primary_location":{"id":"doi:10.1109/dasc50938.2020.9256582","doi":"https://doi.org/10.1109/dasc50938.2020.9256582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dasc50938.2020.9256582","pdf_url":null,"source":{"id":"https://openalex.org/S4363608230","display_name":"IEEE/AIAA Digital Avionics Systems Conference (DASC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5011803232","display_name":"Adam Thornton","orcid":"https://orcid.org/0000-0001-9342-6032","observed_orcids":["https://orcid.org/0000-0001-9342-6032"]},"institutions":[{"id":"https://openalex.org/I1290463931","display_name":"Southwest Research Institute","ror":"https://ror.org/03tghng59","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1290463931"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adam Thornton","raw_affiliation_strings":["Intelligent Systems Division, Southwest Research Institute, San Antonio, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Systems Division, Southwest Research Institute, San Antonio, TX","institution_ids":["https://openalex.org/I1290463931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034112954","display_name":"Brandon Meiners","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1290463931","display_name":"Southwest Research Institute","ror":"https://ror.org/03tghng59","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1290463931"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brandon Meiners","raw_affiliation_strings":["Intelligent Systems Division, Southwest Research Institute, San Antonio, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Systems Division, Southwest Research Institute, San Antonio, TX","institution_ids":["https://openalex.org/I1290463931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037493259","display_name":"Donald R. Poole","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1290463931","display_name":"Southwest Research Institute","ror":"https://ror.org/03tghng59","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1290463931"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Donald Poole","raw_affiliation_strings":["Intelligent Systems Division, Southwest Research Institute, San Antonio, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Systems Division, Southwest Research Institute, San Antonio, TX","institution_ids":["https://openalex.org/I1290463931"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1290463931"],"apc_list":null,"apc_paid":null,"fwci":0.72,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.61283764,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9564999938011169,"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":0.9564999938011169,"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":0.013700000010430813,"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":0.006899999920278788,"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/latent-dirichlet-allocation","display_name":"latent Dirichlet allocation","score":0.9599999785423279},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"anomaly detection","score":0.9789999723434448},{"id":"https://openalex.org/keywords/avionics-networks","display_name":"avionics networks","score":0.9879999756813049},{"id":"https://openalex.org/keywords/variational-bayesian-inference","display_name":"variational inference","score":0.800000011920929},{"id":"https://openalex.org/keywords/network-traffic-analysis","display_name":"network traffic analysis","score":0.8149999976158142},{"id":"https://openalex.org/keywords/malicious-attack-detection","display_name":"malicious attack detection","score":0.9700000286102295},{"id":"https://openalex.org/keywords/aircraft-networks","display_name":"aircraft networks","score":0.4490000009536743},{"id":"https://openalex.org/keywords/near-real-time-monitoring","display_name":"near real-time monitoring","score":0.7170000076293945}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.9374428987503052},{"id":"https://openalex.org/C15792166","wikidata":"https://www.wikidata.org/wiki/Q221329","display_name":"Avionics","level":2,"score":0.8296796679496765},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7334924936294556},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.67073655128479},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5948110222816467},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5081324577331543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4289490282535553},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.40031111240386963},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3962588906288147},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19513651728630066},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.09953257441520691},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08620744943618774},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dasc50938.2020.9256582","doi":"https://doi.org/10.1109/dasc50938.2020.9256582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dasc50938.2020.9256582","pdf_url":null,"source":{"id":"https://openalex.org/S4363608230","display_name":"IEEE/AIAA Digital Avionics Systems Conference (DASC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G4911609334","display_name":null,"funder_award_id":"FA8750-18-C-0030","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1516506771","https://openalex.org/W1674877186","https://openalex.org/W1880262756","https://openalex.org/W2111266061","https://openalex.org/W2124505054","https://openalex.org/W2151373442","https://openalex.org/W2162152151","https://openalex.org/W2423824527","https://openalex.org/W2950420455"],"related_works":["https://openalex.org/W4404585292","https://openalex.org/W2423824527","https://openalex.org/W7206149379","https://openalex.org/W3089307529","https://openalex.org/W1998025795","https://openalex.org/W2147191819","https://openalex.org/W3082063889","https://openalex.org/W3202620445","https://openalex.org/W7162785456","https://openalex.org/W2592876081"],"abstract_inverted_index":{"Latent":[0],"Dirichlet":[1],"Allocation":[2],"(LDA)":[3],"and":[4,41,47,68],"Variational":[5],"Inference":[6],"are":[7,56,71],"applied":[8],"in":[9,15,65],"near":[10],"real-time":[11],"to":[12,36],"detect":[13,37],"anomalies":[14],"ground":[16,22],"vehicle":[17,23],"network":[18,42],"traffic":[19],"for":[20,61],"a":[21,51],"network.":[24],"The":[25],"technical":[26],"approach,":[27],"that":[28],"utilizes":[29],"the":[30,48,63,66],"Natural":[31],"Language":[32],"Processing":[33],"(NLP)":[34],"technique":[35,64],"potential":[38],"malicious":[39],"attacks":[40],"configuration":[43],"issues,":[44],"is":[45],"described":[46],"results":[49],"of":[50,53],"proof":[52],"concept":[54],"implementation":[55],"provided.":[57,72],"Potential":[58],"use":[59],"cases":[60],"applying":[62],"aircraft":[67],"avionics":[69],"domain":[70]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-10-26T11:51:55.731654","created_date":"2020-11-23T00:00:00"}