{"id":"https://openalex.org/W4392905274","doi":"https://doi.org/10.1109/ccnc51664.2024.10454657","title":"FlexHash - Hybrid Locality Sensitive Hashing for IoT Device Identification","display_name":"FlexHash - Hybrid Locality Sensitive Hashing for IoT Device Identification","publication_year":2024,"publication_date":"2024-01-06","ids":{"openalex":"https://openalex.org/W4392905274","doi":"https://doi.org/10.1109/ccnc51664.2024.10454657"},"language":"en","primary_location":{"id":"doi:10.1109/ccnc51664.2024.10454657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc51664.2024.10454657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)","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/A5067027180","display_name":"Nathan Thom","orcid":null},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nathan Thom","raw_affiliation_strings":["University of Nevada, Reno, USA,Department of Computer Science and Engineering,Reno,NV,89557 775-784-6905"],"affiliations":[{"raw_affiliation_string":"University of Nevada, Reno, USA,Department of Computer Science and Engineering,Reno,NV,89557 775-784-6905","institution_ids":["https://openalex.org/I134113660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073776247","display_name":"Jay Thom","orcid":"https://orcid.org/0000-0001-9035-8767"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jay Thom","raw_affiliation_strings":["University of Nevada, Reno, USA,Department of Computer Science and Engineering,Reno,NV,89557 775-784-6905"],"affiliations":[{"raw_affiliation_string":"University of Nevada, Reno, USA,Department of Computer Science and Engineering,Reno,NV,89557 775-784-6905","institution_ids":["https://openalex.org/I134113660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039466682","display_name":"Batyr Charyyev","orcid":"https://orcid.org/0000-0001-6213-2242"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Batyr Charyyev","raw_affiliation_strings":["University of Nevada, Reno, USA,Department of Computer Science and Engineering,Reno,NV,89557 775-784-6905"],"affiliations":[{"raw_affiliation_string":"University of Nevada, Reno, USA,Department of Computer Science and Engineering,Reno,NV,89557 775-784-6905","institution_ids":["https://openalex.org/I134113660"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069699813","display_name":"Emily Hand","orcid":"https://orcid.org/0000-0002-6990-2833"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emily Hand","raw_affiliation_strings":["University of Nevada, Reno, USA,Department of Computer Science and Engineering,Reno,NV,89557 775-784-6905"],"affiliations":[{"raw_affiliation_string":"University of Nevada, Reno, USA,Department of Computer Science and Engineering,Reno,NV,89557 775-784-6905","institution_ids":["https://openalex.org/I134113660"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100748436","display_name":"Shamik Sengupta","orcid":"https://orcid.org/0000-0002-2019-8056"},"institutions":[{"id":"https://openalex.org/I134113660","display_name":"University of Nevada, Reno","ror":"https://ror.org/01keh0577","country_code":"US","type":"education","lineage":["https://openalex.org/I134113660"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shamik Sengupta","raw_affiliation_strings":["University of Nevada, Reno, USA,Department of Computer Science and Engineering,Reno,NV,89557 775-784-6905"],"affiliations":[{"raw_affiliation_string":"University of Nevada, Reno, USA,Department of Computer Science and Engineering,Reno,NV,89557 775-784-6905","institution_ids":["https://openalex.org/I134113660"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5067027180"],"corresponding_institution_ids":["https://openalex.org/I134113660"],"apc_list":null,"apc_paid":null,"fwci":0.2632,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4695324,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"368","last_page":"371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T13270","display_name":"QR Code Applications and Technologies","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7248668670654297},{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.6375960111618042},{"id":"https://openalex.org/keywords/locality-sensitive-hashing","display_name":"Locality-sensitive hashing","score":0.6344320774078369},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6296509504318237},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.5638681650161743},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.5542117357254028},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3636762499809265},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.17660292983055115}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7248668670654297},{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.6375960111618042},{"id":"https://openalex.org/C74270461","wikidata":"https://www.wikidata.org/wiki/Q1625299","display_name":"Locality-sensitive hashing","level":4,"score":0.6344320774078369},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6296509504318237},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5638681650161743},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.5542117357254028},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3636762499809265},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.17660292983055115},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccnc51664.2024.10454657","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccnc51664.2024.10454657","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 21st Consumer Communications & Networking Conference (CCNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4818149268","display_name":null,"funder_award_id":"2019164","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":19,"referenced_works":["https://openalex.org/W188174107","https://openalex.org/W2021963610","https://openalex.org/W2050663838","https://openalex.org/W2574448563","https://openalex.org/W2586677434","https://openalex.org/W2621148797","https://openalex.org/W2895909303","https://openalex.org/W2941095394","https://openalex.org/W2944968054","https://openalex.org/W2972047421","https://openalex.org/W3005645561","https://openalex.org/W3027485588","https://openalex.org/W3092066520","https://openalex.org/W3167826121","https://openalex.org/W4214863110","https://openalex.org/W4287826698","https://openalex.org/W4288345824","https://openalex.org/W6607659811","https://openalex.org/W6774581290"],"related_works":["https://openalex.org/W4245926026","https://openalex.org/W4287326768","https://openalex.org/W1556451512","https://openalex.org/W2393322642","https://openalex.org/W1555349535","https://openalex.org/W3131198547","https://openalex.org/W2144265691","https://openalex.org/W2033383639","https://openalex.org/W3108918257","https://openalex.org/W3016124764"],"abstract_inverted_index":{"Recent":[0],"growth":[1],"in":[2,50,141],"the":[3,21,75],"utilization":[4],"of":[5,31,74,125,132],"IoT":[6,48,79],"has":[7,13,92],"offered":[8],"convenience":[9],"and":[10,33,70,86,110,158],"utility,":[11],"but":[12],"also":[14],"increased":[15],"security":[16],"risk.":[17],"Many":[18,73],"devices":[19,49,98,119,157],"lack":[20],"capacity":[22],"to":[23,44,67,95,116],"support":[24],"adequate":[25],"encryption":[26],"or":[27],"other":[28],"common":[29],"means":[30],"protection,":[32],"are":[34,59,114],"often":[35],"designed":[36],"for":[37,65,78,155,160],"easy":[38],"connection":[39],"out-of-the-box":[40],"exposing":[41],"vulnerabilities":[42],"related":[43],"default":[45],"configurations.":[46],"Managing":[47],"a":[51,63,105,121,129],"network":[52,133],"can":[53],"be":[54],"difficult":[55],"as":[56,151,153],"MAC":[57],"addresses":[58],"easily":[60],"spoofed,":[61],"creating":[62],"need":[64],"techniques":[66],"properly":[68],"identify":[69,96,117],"monitor":[71],"membership.":[72],"proposed":[76],"solutions":[77],"device":[80,162],"identification":[81],"require":[82],"complex":[83],"feature":[84],"extraction":[85],"engineering.":[87],"In":[88],"addition,":[89],"little":[90],"work":[91],"been":[93],"done":[94],"individual":[97],"from":[99],"among":[100],"identical":[101,118,156],"peers.":[102],"We":[103],"propose":[104],"novel":[106],"hashing":[107,140],"algorithm,":[108],"FlexHash,":[109],"show":[111],"that":[112],"we":[113],"able":[115],"with":[120,143],"very":[122],"high":[123,152],"degree":[124],"accuracy":[126,149],"using":[127],"only":[128],"single":[130],"packet":[131],"traffic.":[134],"By":[135],"applying":[136],"hybrid":[137],"locality":[138],"sensitive":[139],"combination":[142],"machine":[144],"learning":[145],"our":[146],"approach":[147],"achieves":[148],"scores":[150],"98%":[154],"99%":[159],"identifying":[161],"genre.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}