{"id":"https://openalex.org/W3189957073","doi":"https://doi.org/10.1109/icc42927.2021.9500275","title":"Bidirectional IoT Device Identification Based on Radio Frequency Fingerprint Reciprocity","display_name":"Bidirectional IoT Device Identification Based on Radio Frequency Fingerprint Reciprocity","publication_year":2021,"publication_date":"2021-06-01","ids":{"openalex":"https://openalex.org/W3189957073","doi":"https://doi.org/10.1109/icc42927.2021.9500275","mag":"3189957073"},"language":"en","primary_location":{"id":"doi:10.1109/icc42927.2021.9500275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc42927.2021.9500275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2021 - IEEE International Conference on Communications","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100347765","display_name":"Ming Liu","orcid":"https://orcid.org/0000-0002-1114-1728"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Liu","raw_affiliation_strings":["Beijing Jiaotong University,Beijing Key Lab of Transportation Data Analysis and Mining School of Computer and Information Technology,Beijing,China","Beijing Key Lab of Transportation Data Analysis and Mining School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,Beijing Key Lab of Transportation Data Analysis and Mining School of Computer and Information Technology,Beijing,China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Beijing Key Lab of Transportation Data Analysis and Mining School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101261979","display_name":"Xiaoyi Han","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyi Han","raw_affiliation_strings":["Beijing Jiaotong University,Beijing Key Lab of Transportation Data Analysis and Mining School of Computer and Information Technology,Beijing,China","Beijing Key Lab of Transportation Data Analysis and Mining School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,Beijing Key Lab of Transportation Data Analysis and Mining School of Computer and Information Technology,Beijing,China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Beijing Key Lab of Transportation Data Analysis and Mining School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377352","display_name":"Nian Liu","orcid":"https://orcid.org/0000-0002-0825-6081"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nian Liu","raw_affiliation_strings":["Beijing Jiaotong University,Beijing Key Lab of Transportation Data Analysis and Mining School of Computer and Information Technology,Beijing,China","Beijing Key Lab of Transportation Data Analysis and Mining School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,Beijing Key Lab of Transportation Data Analysis and Mining School of Computer and Information Technology,Beijing,China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"Beijing Key Lab of Transportation Data Analysis and Mining School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032500064","display_name":"Linning Peng","orcid":"https://orcid.org/0000-0001-5859-7119"},"institutions":[{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linning Peng","raw_affiliation_strings":["Southeast University,Purple Mountain Laboratories,School of Cyber Science and Engineering,Nanjing,China","School of Cyber Science and Engineering, Purple Mountain Laboratories, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southeast University,Purple Mountain Laboratories,School of Cyber Science and Engineering,Nanjing,China","institution_ids":["https://openalex.org/I4210155350"]},{"raw_affiliation_string":"School of Cyber Science and Engineering, Purple Mountain Laboratories, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I4210155350","https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998000264167786,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9998000264167786,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9914000034332275,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9905999898910522,"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/telecommunications-link","display_name":"Telecommunications link","score":0.7573636770248413},{"id":"https://openalex.org/keywords/base-station","display_name":"Base station","score":0.7134676575660706},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6874964237213135},{"id":"https://openalex.org/keywords/fingerprint","display_name":"Fingerprint (computing)","score":0.6353762149810791},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6010084748268127},{"id":"https://openalex.org/keywords/radio-frequency-identification","display_name":"Radio-frequency identification","score":0.5741996169090271},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5020186901092529},{"id":"https://openalex.org/keywords/reciprocity","display_name":"Reciprocity (cultural anthropology)","score":0.47609007358551025},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.46356189250946045},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4531559944152832},{"id":"https://openalex.org/keywords/fingerprint-recognition","display_name":"Fingerprint recognition","score":0.44095492362976074},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2877361476421356},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17342305183410645},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.13113027811050415},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08671939373016357}],"concepts":[{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.7573636770248413},{"id":"https://openalex.org/C68649174","wikidata":"https://www.wikidata.org/wiki/Q1379116","display_name":"Base station","level":2,"score":0.7134676575660706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6874964237213135},{"id":"https://openalex.org/C2777826928","wikidata":"https://www.wikidata.org/wiki/Q3745713","display_name":"Fingerprint (computing)","level":2,"score":0.6353762149810791},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6010084748268127},{"id":"https://openalex.org/C204222849","wikidata":"https://www.wikidata.org/wiki/Q104954","display_name":"Radio-frequency identification","level":2,"score":0.5741996169090271},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5020186901092529},{"id":"https://openalex.org/C169903001","wikidata":"https://www.wikidata.org/wiki/Q3264987","display_name":"Reciprocity (cultural anthropology)","level":2,"score":0.47609007358551025},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.46356189250946045},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4531559944152832},{"id":"https://openalex.org/C168406668","wikidata":"https://www.wikidata.org/wiki/Q178022","display_name":"Fingerprint recognition","level":3,"score":0.44095492362976074},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2877361476421356},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17342305183410645},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.13113027811050415},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08671939373016357},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc42927.2021.9500275","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc42927.2021.9500275","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2021 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.4399999976158142}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1874399837","https://openalex.org/W2097571740","https://openalex.org/W2112323603","https://openalex.org/W2804692329","https://openalex.org/W2891054065","https://openalex.org/W2899070342","https://openalex.org/W2913860854","https://openalex.org/W2943117924","https://openalex.org/W2962814013","https://openalex.org/W2982145123","https://openalex.org/W2984025449","https://openalex.org/W3009206715","https://openalex.org/W3009816315","https://openalex.org/W3015314850","https://openalex.org/W3018775879","https://openalex.org/W3036818015","https://openalex.org/W3046669505","https://openalex.org/W3049625034","https://openalex.org/W3098486933","https://openalex.org/W3154667606","https://openalex.org/W6677178498","https://openalex.org/W6781141359","https://openalex.org/W6788832176"],"related_works":["https://openalex.org/W2367098660","https://openalex.org/W2284947581","https://openalex.org/W2477606399","https://openalex.org/W4235640468","https://openalex.org/W2112200035","https://openalex.org/W2347840093","https://openalex.org/W1484138156","https://openalex.org/W3189957073","https://openalex.org/W2750292566","https://openalex.org/W3018033296"],"abstract_inverted_index":{"Existing":[0],"research":[1],"on":[2,9,91],"Radio":[3],"Frequency":[4],"Fingerprint":[5],"(RFF)":[6],"mainly":[7],"focus":[8],"unilateral":[10],"device":[11,40],"identification":[12,41,107,146],"in":[13,96],"one":[14],"communication":[15,53],"direction.":[16],"In":[17,35],"practice,":[18],"it":[19],"is":[20,43,56,64,83,123],"difficult":[21],"for":[22,45],"IoT":[23,46,71,121,132],"devices":[24,122,133],"to":[25,31,58,66,73,85,139],"identify":[26,140],"the":[27,52,60,70,74,87,92,97,101,105,113,117,131,141,145,150],"base":[28,75,114,142,151],"station":[29,115,143],"due":[30],"their":[32],"hardware":[33],"insufficiencies.":[34],"this":[36],"paper,":[37],"a":[38,136],"bidirectional":[39],"method":[42],"proposed":[44,84],"scenarios.":[47],"The":[48],"inherent":[49],"reciprocity":[50],"of":[51,104,120],"pair\u2019s":[54],"RFFs":[55],"exploited":[57],"offload":[59],"learning":[61],"process,":[62],"which":[63],"supposed":[65],"be":[67,110],"proceeded":[68],"by":[69,112,149],"device,":[72],"station.":[76,152],"An":[77],"autoencoder-based":[78],"RFF":[79,89],"reciprocal":[80],"conversion":[81],"network":[82,108,147],"predict":[86],"downlink":[88,106],"based":[90],"data":[93,128],"samples":[94],"acquired":[95],"uplink,":[98],"so":[99],"that":[100],"training":[102],"process":[103],"can":[109,134],"accomplished":[111],"and":[116],"computational":[118],"complexity":[119],"reduced.":[124],"Evaluations":[125],"with":[126],"real-world":[127],"show":[129],"that,":[130],"achieve":[135],"high":[137],"accuracy":[138],"using":[144],"trained":[148]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
