{"id":"https://openalex.org/W3175305526","doi":"https://doi.org/10.1109/lanman52105.2021.9478836","title":"An Efficient SDN Architecture for Smart Home Security Accelerated by FPGA","display_name":"An Efficient SDN Architecture for Smart Home Security Accelerated by FPGA","publication_year":2021,"publication_date":"2021-07-12","ids":{"openalex":"https://openalex.org/W3175305526","doi":"https://doi.org/10.1109/lanman52105.2021.9478836","mag":"3175305526"},"language":"en","primary_location":{"id":"doi:10.1109/lanman52105.2021.9478836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lanman52105.2021.9478836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2106.11390","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043776440","display_name":"Holden Gordon","orcid":null},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Holden Gordon","raw_affiliation_strings":["Internet of Things Research Lab, Computer Science and Engineering, Santa Clara University, USA","Santa Clara University,Internet of Things Research Lab, Computer Science and Engineering,USA"],"affiliations":[{"raw_affiliation_string":"Internet of Things Research Lab, Computer Science and Engineering, Santa Clara University, USA","institution_ids":["https://openalex.org/I16269868"]},{"raw_affiliation_string":"Santa Clara University,Internet of Things Research Lab, Computer Science and Engineering,USA","institution_ids":["https://openalex.org/I16269868"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085365516","display_name":"Conrad Park","orcid":null},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Conrad Park","raw_affiliation_strings":["Internet of Things Research Lab, Computer Science and Engineering, Santa Clara University, USA","Santa Clara University,Internet of Things Research Lab, Computer Science and Engineering,USA"],"affiliations":[{"raw_affiliation_string":"Internet of Things Research Lab, Computer Science and Engineering, Santa Clara University, USA","institution_ids":["https://openalex.org/I16269868"]},{"raw_affiliation_string":"Santa Clara University,Internet of Things Research Lab, Computer Science and Engineering,USA","institution_ids":["https://openalex.org/I16269868"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059386135","display_name":"Bhagyashri Tushir","orcid":"https://orcid.org/0000-0001-9825-7629"},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bhagyashri Tushir","raw_affiliation_strings":["Internet of Things Research Lab, Computer Science and Engineering, Santa Clara University, USA","Santa Clara University,Internet of Things Research Lab, Computer Science and Engineering,USA"],"affiliations":[{"raw_affiliation_string":"Internet of Things Research Lab, Computer Science and Engineering, Santa Clara University, USA","institution_ids":["https://openalex.org/I16269868"]},{"raw_affiliation_string":"Santa Clara University,Internet of Things Research Lab, Computer Science and Engineering,USA","institution_ids":["https://openalex.org/I16269868"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100324599","display_name":"Yuhong Liu","orcid":"https://orcid.org/0000-0001-9890-526X"},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuhong Liu","raw_affiliation_strings":["Internet of Things Research Lab, Computer Science and Engineering, Santa Clara University, USA","Santa Clara University,Internet of Things Research Lab, Computer Science and Engineering,USA"],"affiliations":[{"raw_affiliation_string":"Internet of Things Research Lab, Computer Science and Engineering, Santa Clara University, USA","institution_ids":["https://openalex.org/I16269868"]},{"raw_affiliation_string":"Santa Clara University,Internet of Things Research Lab, Computer Science and Engineering,USA","institution_ids":["https://openalex.org/I16269868"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040461963","display_name":"Behnam Dezfouli","orcid":"https://orcid.org/0000-0001-6090-0412"},"institutions":[{"id":"https://openalex.org/I16269868","display_name":"Santa Clara University","ror":"https://ror.org/03ypqe447","country_code":"US","type":"education","lineage":["https://openalex.org/I16269868"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Behnam Dezfouli","raw_affiliation_strings":["Internet of Things Research Lab, Computer Science and Engineering, Santa Clara University, USA","Santa Clara Univ.#TAB#"],"affiliations":[{"raw_affiliation_string":"Internet of Things Research Lab, Computer Science and Engineering, Santa Clara University, USA","institution_ids":["https://openalex.org/I16269868"]},{"raw_affiliation_string":"Santa Clara Univ.#TAB#","institution_ids":["https://openalex.org/I16269868"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5043776440"],"corresponding_institution_ids":["https://openalex.org/I16269868"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09961976,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998000264167786,"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":0.9998000264167786,"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9984999895095825,"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/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.8521576523780823},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8185979127883911},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.5584890246391296},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.4821738600730896},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.47455674409866333},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.4455132782459259},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4411740303039551},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.4396972954273224},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.41638386249542236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15471228957176208},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14956000447273254},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10029202699661255}],"concepts":[{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.8521576523780823},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8185979127883911},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.5584890246391296},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.4821738600730896},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.47455674409866333},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.4455132782459259},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4411740303039551},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.4396972954273224},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.41638386249542236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15471228957176208},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14956000447273254},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10029202699661255},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/lanman52105.2021.9478836","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lanman52105.2021.9478836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2106.11390","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.11390","pdf_url":"https://arxiv.org/pdf/2106.11390","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":"mag:3175305526","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2106.11390","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2106.11390","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2106.11390","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2106.11390","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2106.11390","pdf_url":"https://arxiv.org/pdf/2106.11390","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":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3175305526.pdf","grobid_xml":"https://content.openalex.org/works/W3175305526.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1518139028","https://openalex.org/W1921679904","https://openalex.org/W2004592841","https://openalex.org/W2042158739","https://openalex.org/W2101234009","https://openalex.org/W2296509296","https://openalex.org/W2591112181","https://openalex.org/W2609235900","https://openalex.org/W2789402893","https://openalex.org/W2797457699","https://openalex.org/W2911554448","https://openalex.org/W2932437802","https://openalex.org/W2971913919","https://openalex.org/W2986616994","https://openalex.org/W3003398866","https://openalex.org/W3006389481","https://openalex.org/W3012047118","https://openalex.org/W3031979640","https://openalex.org/W3047050130","https://openalex.org/W3139653605","https://openalex.org/W3200639136"],"related_works":["https://openalex.org/W3182414872","https://openalex.org/W2993580201","https://openalex.org/W2999625013","https://openalex.org/W3127167655","https://openalex.org/W3131073178","https://openalex.org/W2971913919","https://openalex.org/W2588525229","https://openalex.org/W3128711744","https://openalex.org/W3142112872","https://openalex.org/W2807162967","https://openalex.org/W2949469598","https://openalex.org/W3202190322","https://openalex.org/W2042693136","https://openalex.org/W3192805057","https://openalex.org/W2983187534","https://openalex.org/W2810637863","https://openalex.org/W2942305195","https://openalex.org/W3158350436","https://openalex.org/W3134705418","https://openalex.org/W2938341874"],"abstract_inverted_index":{"With":[0],"the":[1,58,78,112,140,150],"rise":[2],"of":[3,5,142],"Internet":[4],"Things":[6],"(IoT)":[7],"devices,":[8],"home":[9,25,39],"network":[10,26],"management":[11,27],"and":[12,48,99],"security":[13],"are":[14],"becoming":[15],"complex.":[16],"There":[17],"is":[18,54],"an":[19,33,82,128],"urgent":[20],"requirement":[21],"to":[22,36,62,131],"make":[23],"smart":[24,38,151],"more":[28],"efficient.":[29],"This":[30,138],"work":[31],"proposes":[32],"SDN-based":[34],"architecture":[35],"secure":[37],"networks":[40],"through":[41],"K-Nearest":[42],"Neighbor":[43],"(KNN)":[44],"based":[45],"device":[46],"classifications":[47],"malicious":[49],"traffic":[50],"detection.":[51],"The":[52],"efficiency":[53],"enhanced":[55],"by":[56],"offloading":[57],"computation-intensive":[59],"KNN":[60,74,88,114],"model":[61],"a":[63,72,94,117,135],"Field":[64],"Programmable":[65],"Gate":[66],"Arrays":[67],"(FPGA).":[68],"Furthermore,":[69],"we":[70],"propose":[71],"custom":[73],"solution":[75,115],"that":[76],"exhibits":[77],"best":[79],"performance":[80],"on":[81,127,134],"FPGA":[83,129],"compared":[84,130],"with":[85,108,120],"four":[86],"alternative":[87],"instances":[89],"(i.e.,":[90],"78%":[91],"faster":[92,101],"than":[93,102],"parallel":[95],"Bubble":[96],"Sort-based":[97],"implementation":[98],"99%":[100],"three":[103],"other":[104],"sorting":[105],"algorithms).":[106],"Moreover,":[107],"36,225":[109],"training":[110],"samples,":[111],"proposed":[113],"classifies":[116],"test":[118],"query":[119],"95%":[121],"accuracy":[122],"in":[123,149],"approximately":[124],"4":[125],"ms":[126],"57":[132],"seconds":[133],"CPU":[136],"platform.":[137],"highlights":[139],"promise":[141],"FPGA-based":[143],"platforms":[144],"for":[145],"edge":[146],"computing":[147],"applications":[148],"home.":[152]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
