{"id":"https://openalex.org/W3198393574","doi":"https://doi.org/10.1109/icccn52240.2021.9522273","title":"Automatic Recognition of Identification Schemes for IoT Identifiers based on A Hybrid DNN Model","display_name":"Automatic Recognition of Identification Schemes for IoT Identifiers based on A Hybrid DNN Model","publication_year":2021,"publication_date":"2021-07-01","ids":{"openalex":"https://openalex.org/W3198393574","doi":"https://doi.org/10.1109/icccn52240.2021.9522273","mag":"3198393574"},"language":"en","primary_location":{"id":"doi:10.1109/icccn52240.2021.9522273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn52240.2021.9522273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Computer Communications and Networks (ICCCN)","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/A5101657057","display_name":"Xiaotao Li","orcid":"https://orcid.org/0000-0001-5743-7885"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaotao Li","raw_affiliation_strings":["China Mobile Research Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100925439","display_name":"Shujuan You","orcid":null},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shujuan You","raw_affiliation_strings":["China Mobile Research Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102986531","display_name":"Wai Chen","orcid":"https://orcid.org/0000-0002-1663-2729"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wai Chen","raw_affiliation_strings":["China Mobile Research Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute, Beijing, China","institution_ids":["https://openalex.org/I180662265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101657057"],"corresponding_institution_ids":["https://openalex.org/I180662265"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10962418,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9998000264167786,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.9998000264167786,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9973000288009644,"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/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.995199978351593,"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/identifier","display_name":"Identifier","score":0.9469172954559326},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8607728481292725},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7105696201324463},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6379293203353882},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5218473672866821},{"id":"https://openalex.org/keywords/unique-identifier","display_name":"Unique identifier","score":0.515954315662384},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.47908979654312134},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46943143010139465},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.43664175271987915},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.4176332950592041},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.41621142625808716},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36969324946403503},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3537137508392334},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3340528905391693},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.18933874368667603},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09302735328674316}],"concepts":[{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.9469172954559326},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8607728481292725},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7105696201324463},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6379293203353882},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5218473672866821},{"id":"https://openalex.org/C119839945","wikidata":"https://www.wikidata.org/wiki/Q6545185","display_name":"Unique identifier","level":3,"score":0.515954315662384},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.47908979654312134},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46943143010139465},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.43664175271987915},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.4176332950592041},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.41621142625808716},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36969324946403503},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3537137508392334},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3340528905391693},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.18933874368667603},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09302735328674316},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccn52240.2021.9522273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccn52240.2021.9522273","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 International Conference on Computer Communications and Networks (ICCCN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1535513957","https://openalex.org/W1686810756","https://openalex.org/W1963498612","https://openalex.org/W2035167895","https://openalex.org/W2064675550","https://openalex.org/W2097117768","https://openalex.org/W2101713460","https://openalex.org/W2163605009","https://openalex.org/W2507824935","https://openalex.org/W2515503816","https://openalex.org/W2551393996","https://openalex.org/W2589010865","https://openalex.org/W2754051771","https://openalex.org/W2804032941","https://openalex.org/W2808820108","https://openalex.org/W2923712511","https://openalex.org/W2963866024","https://openalex.org/W2964121744","https://openalex.org/W2988077998","https://openalex.org/W6631190155","https://openalex.org/W6631916870","https://openalex.org/W6637373629","https://openalex.org/W6641205412","https://openalex.org/W6675357634","https://openalex.org/W6684191040","https://openalex.org/W6751349269"],"related_works":["https://openalex.org/W2413568490","https://openalex.org/W1913624564","https://openalex.org/W3130054399","https://openalex.org/W4301062032","https://openalex.org/W2343500026","https://openalex.org/W2319837024","https://openalex.org/W2390627310","https://openalex.org/W2033159440","https://openalex.org/W2413664130","https://openalex.org/W2051731675"],"abstract_inverted_index":{"In":[0],"Internet":[1],"of":[2,74,106,145],"Things":[3],"(IoT),":[4],"a":[5,47,80,89,94,110,123],"unique":[6,124],"identifier":[7,121,142],"is":[8,115],"essential":[9],"for":[10,50],"each":[11],"object":[12],"to":[13,22,41,55,68,117,122,147],"serve":[14],"as":[15],"its":[16],"digital":[17],"identity":[18],"and":[19,93,149],"helps":[20],"users":[21],"obtain":[23],"the":[24,51,71,103,107,132],"detailed":[25],"information":[26],"about":[27],"this":[28,62],"object.":[29],"However,":[30],"there":[31],"are":[32],"multiple":[33],"encoding":[34],"rules":[35],"being":[36],"used":[37],"by":[38],"different":[39],"organizations":[40],"identify":[42],"their":[43],"objects,":[44],"thus":[45],"creating":[46],"great":[48],"challenge":[49],"applications":[52],"that":[53,87,136],"need":[54],"resolve":[56],"multi-source":[57],"heterogeneous":[58,75],"identifiers.":[59],"To":[60,101],"address":[61],"issue,":[63],"we":[64,137],"propose":[65],"an":[66,119,140],"algorithm":[67,130],"automatically":[69],"recognize":[70],"identification":[72],"schemes":[73],"IoT":[76,120,141],"identifiers,":[77],"based":[78],"on":[79,131],"hybrid":[81],"deep":[82],"neural":[83,97],"network":[84,98],"(DNN)":[85],"model":[86,92],"combines":[88],"one-dimensional":[90],"DNN":[91],"two-dimensional":[95,108],"convolutional":[96],"(CNN)":[99],"model.":[100],"satisfy":[102],"input":[104],"criteria":[105],"CNN,":[109],"novel":[111],"identifier-to-polygon":[112],"(I2P)":[113],"strategy":[114],"presented":[116],"transform":[118],"polygon":[125],"image.":[126],"We":[127],"evaluate":[128],"our":[129],"ID-20":[133],"dataset,":[134],"showing":[135],"can":[138],"achieve":[139],"recognition":[143],"accuracy":[144],"up":[146],"94.77%":[148],"outperform":[150],"other":[151],"state-of-the-art":[152],"methods.":[153]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
