{"id":"https://openalex.org/W4416056422","doi":"https://doi.org/10.1109/icc59461.2026.11587063","title":"Microsecond Federated SVD on Grassmann Manifold for Real-time IoT Intrusion Detection","display_name":"Microsecond Federated SVD on Grassmann Manifold for Real-time IoT Intrusion Detection","publication_year":2026,"publication_date":"2026-05-24","ids":{"openalex":"https://openalex.org/W4416056422","doi":"https://doi.org/10.1109/icc59461.2026.11587063"},"language":"en","primary_location":{"id":"doi:10.1109/icc59461.2026.11587063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc59461.2026.11587063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2026 - IEEE International Conference on Communications","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2510.18501","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011434006","display_name":"Tung-Anh Nguyen","orcid":"https://orcid.org/0009-0000-0664-0218"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Tung-Anh Nguyen","raw_affiliation_strings":["The University of Sydney,School of Computer Science,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Sydney,School of Computer Science,Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034132326","display_name":"Van-Phuc Bui","orcid":"https://orcid.org/0000-0002-0120-3892"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Van-Phuc Bui","raw_affiliation_strings":["Aalborg University,Department of Electronic Systems,Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalborg University,Department of Electronic Systems,Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030621292","display_name":"Shashi Raj Pandey","orcid":"https://orcid.org/0000-0002-5781-4131"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Shashi Raj Pandey","raw_affiliation_strings":["Aalborg University,Department of Electronic Systems,Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalborg University,Department of Electronic Systems,Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052946379","display_name":"Kaiwen Ta","orcid":"https://orcid.org/0000-0002-7193-5212"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Kim Hue Ta","raw_affiliation_strings":["Hanoi University of Science and Technology,School of Electrical and Electronic Engineering,Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology,School of Electrical and Electronic Engineering,Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027558961","display_name":"Nguyen H. Tran","orcid":"https://orcid.org/0000-0001-7323-9213"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Nguyen H. Tran","raw_affiliation_strings":["The University of Sydney,School of Computer Science,Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Sydney,School of Computer Science,Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071289803","display_name":"Petar Popovski","orcid":"https://orcid.org/0000-0001-6195-4797"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Petar Popovski","raw_affiliation_strings":["Aalborg University,Department of Electronic Systems,Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalborg University,Department of Electronic Systems,Denmark","institution_ids":["https://openalex.org/I891191580"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.3075000047683716,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.3075000047683716,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.20839999616146088,"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/T11498","display_name":"Security in Wireless Sensor Networks","score":0.04320000112056732,"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/singular-value-decomposition","display_name":"Singular value decomposition","score":0.7371000051498413},{"id":"https://openalex.org/keywords/intrusion-detection-system","display_name":"Intrusion detection system","score":0.6003999710083008},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5557000041007996},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5109000205993652},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.48190000653266907},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4796999990940094},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.40689998865127563}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7508000135421753},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.7371000051498413},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.6003999710083008},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5557000041007996},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5109000205993652},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.48190000653266907},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4796999990940094},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.40689998865127563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.367900013923645},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3634999990463257},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.35249999165534973},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.3409000039100647},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.32010000944137573},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.2831000089645386},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.28209999203681946},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.27790001034736633},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2689000070095062},{"id":"https://openalex.org/C158251709","wikidata":"https://www.wikidata.org/wiki/Q354025","display_name":"Intrusion","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.25360000133514404},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2502000033855438}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icc59461.2026.11587063","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc59461.2026.11587063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2026 - IEEE International Conference on Communications","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2510.18501","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.18501","pdf_url":"https://arxiv.org/pdf/2510.18501","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:pure.atira.dk:publications/296040bc-9657-440f-9e83-8a0b7a1cdc32","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/296040bc-9657-440f-9e83-8a0b7a1cdc32","pdf_url":"https://arxiv.org/pdf/2510.18501","source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Nguyen, T-A, Bui, V-P, Pandey, S R, Ta, K H, Tran, N H & Popovski, P 2025 'Microsecond Federated SVD on Grassmann Manifold for Real-time IoT Intrusion Detection' arXiv. https://doi.org/10.48550/arXiv.2510.18501","raw_type":"info:eu-repo/semantics/preprint"},{"id":"doi:10.48550/arxiv.2510.18501","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2510.18501","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2510.18501","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.18501","pdf_url":"https://arxiv.org/pdf/2510.18501","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"FedSVD,":[3],"a":[4],"novel":[5],"unsupervised":[6],"federated":[7],"learning":[8,80],"framework":[9],"for":[10,49,92],"real-time":[11],"anomaly":[12],"detection":[13,32],"in":[14],"IoT":[15,94],"networks.":[16],"By":[17],"leveraging":[18],"Singular":[19],"Value":[20],"Decomposition":[21],"(SVD)":[22],"and":[23,36,67],"optimization":[24],"on":[25,41,51],"the":[26,55,60],"Grassmann":[27],"manifolds,":[28],"FedSVD":[29,74],"enables":[30],"accurate":[31],"of":[33],"both":[34],"known":[35],"unknown":[37],"intrusions":[38],"without":[39],"relying":[40],"labeled":[42],"data":[43,46],"or":[44],"centralized":[45],"sharing.":[47],"Tailored":[48],"deployment":[50],"low-power":[52],"devices":[53],"like":[54],"NVIDIA":[56],"Jetson":[57],"AGX":[58],"Orin,":[59],"proposed":[61],"method":[62],"significantly":[63],"reduces":[64],"communication":[65],"overhead":[66],"computational":[68],"cost.":[69],"Experimental":[70],"results":[71],"show":[72],"that":[73],"achieves":[75],"performance":[76],"comparable":[77],"to":[78],"deep":[79],"baselines":[81],"while":[82],"reducing":[83],"inference":[84],"latency":[85],"by":[86],"over":[87],"10x,":[88],"making":[89],"it":[90],"suitable":[91],"latency-sensitive":[93],"applications.":[95]},"counts_by_year":[],"updated_date":"2026-07-16T05:54:29.318815","created_date":"2025-10-24T00:00:00"}