{"id":"https://openalex.org/W4386495599","doi":"https://doi.org/10.1109/ispa/bdcloud/socialc57177.2022.10242023","title":"Personalized Privacy-Preserving Information Fusion in Mobile Crowdsensing","display_name":"Personalized Privacy-Preserving Information Fusion in Mobile Crowdsensing","publication_year":2022,"publication_date":"2022-12-01","ids":{"openalex":"https://openalex.org/W4386495599","doi":"https://doi.org/10.1109/ispa/bdcloud/socialc57177.2022.10242023"},"language":"en","primary_location":{"id":"doi:10.1109/ispa/bdcloud/socialc57177.2022.10242023","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ispa/bdcloud/socialc57177.2022.10242023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)","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/A5100575920","display_name":"Zheqi Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zheqi Feng","raw_affiliation_strings":["Guangzhou University,Shool of Computer Science and Cyber Engineering,Guangzhou,China,510006"],"affiliations":[{"raw_affiliation_string":"Guangzhou University,Shool of Computer Science and Cyber Engineering,Guangzhou,China,510006","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038492850","display_name":"Tao Peng","orcid":"https://orcid.org/0000-0003-1653-4501"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Peng","raw_affiliation_strings":["Guangzhou University,Shool of Computer Science and Cyber Engineering,Guangzhou,China,510006"],"affiliations":[{"raw_affiliation_string":"Guangzhou University,Shool of Computer Science and Cyber Engineering,Guangzhou,China,510006","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100386726","display_name":"Guojun Wang","orcid":"https://orcid.org/0000-0001-9875-4182"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guojun Wang","raw_affiliation_strings":["Guangzhou University,Shool of Computer Science and Cyber Engineering,Guangzhou,China,510006"],"affiliations":[{"raw_affiliation_string":"Guangzhou University,Shool of Computer Science and Cyber Engineering,Guangzhou,China,510006","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085929479","display_name":"Kejian Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kejian Guan","raw_affiliation_strings":["Guangzhou University,Shool of Computer Science and Cyber Engineering,Guangzhou,China,510006"],"affiliations":[{"raw_affiliation_string":"Guangzhou University,Shool of Computer Science and Cyber Engineering,Guangzhou,China,510006","institution_ids":["https://openalex.org/I37987034"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100575920"],"corresponding_institution_ids":["https://openalex.org/I37987034"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20409256,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":null,"first_page":"953","last_page":"960"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9993000030517578,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7937521934509277},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.6014444828033447},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.564510703086853},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.533719539642334},{"id":"https://openalex.org/keywords/crowdsensing","display_name":"Crowdsensing","score":0.5120671391487122},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.4693787097930908},{"id":"https://openalex.org/keywords/data-aggregator","display_name":"Data aggregator","score":0.4565545916557312},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.44571423530578613},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.42638689279556274},{"id":"https://openalex.org/keywords/user-information","display_name":"User information","score":0.41238272190093994},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3798927366733551},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.16200578212738037},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.13419833779335022},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08581739664077759},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07845821976661682}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7937521934509277},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.6014444828033447},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.564510703086853},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.533719539642334},{"id":"https://openalex.org/C2780821482","wikidata":"https://www.wikidata.org/wiki/Q25381721","display_name":"Crowdsensing","level":2,"score":0.5120671391487122},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.4693787097930908},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.4565545916557312},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.44571423530578613},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.42638689279556274},{"id":"https://openalex.org/C2777622855","wikidata":"https://www.wikidata.org/wiki/Q7901844","display_name":"User information","level":3,"score":0.41238272190093994},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3798927366733551},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.16200578212738037},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.13419833779335022},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08581739664077759},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07845821976661682},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispa/bdcloud/socialc57177.2022.10242023","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ispa/bdcloud/socialc57177.2022.10242023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320328715","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1520365648","https://openalex.org/W1873763122","https://openalex.org/W2031031248","https://openalex.org/W2113792377","https://openalex.org/W2118388899","https://openalex.org/W2318453871","https://openalex.org/W2329695226","https://openalex.org/W2345285933","https://openalex.org/W2405305073","https://openalex.org/W2490096848","https://openalex.org/W2535119350","https://openalex.org/W2572824615","https://openalex.org/W2770866044","https://openalex.org/W2899320417","https://openalex.org/W2899883478","https://openalex.org/W2907027461","https://openalex.org/W2911978475","https://openalex.org/W2924254303","https://openalex.org/W2947538082","https://openalex.org/W2981222105","https://openalex.org/W2996945478","https://openalex.org/W3008550439","https://openalex.org/W3025681265","https://openalex.org/W3031508018","https://openalex.org/W3033003550","https://openalex.org/W3036867964","https://openalex.org/W3096356444","https://openalex.org/W3103406720","https://openalex.org/W3129434666","https://openalex.org/W3156435744","https://openalex.org/W3207137920","https://openalex.org/W4212773425","https://openalex.org/W4283215026","https://openalex.org/W4285185553","https://openalex.org/W4285225591","https://openalex.org/W4289533792","https://openalex.org/W6639246211","https://openalex.org/W6802703678","https://openalex.org/W6840815072"],"related_works":["https://openalex.org/W2563347706","https://openalex.org/W2608033733","https://openalex.org/W3038283795","https://openalex.org/W2604501336","https://openalex.org/W2734500670","https://openalex.org/W2558166297","https://openalex.org/W2315671126","https://openalex.org/W2999136942","https://openalex.org/W2508667469","https://openalex.org/W4366460314"],"abstract_inverted_index":{"In":[0,13],"mobile":[1],"crowdsensing":[2],"(MCS),":[3],"information":[4,14,67,108],"fusion":[5,68,109],"is":[6,165,177],"necessary":[7],"to":[8,43,148],"obtain":[9,141],"data":[10,29,39,46,50,54,83,87,91,100,125,135,138,150,154,169,175],"aggregation":[11,47,84],"results.":[12],"fusion,":[15],"most":[16],"of":[17,28,38,123,144,153,159,186],"the":[18,25,34,73,78,113,120,124,133,137,149,157,162,173,182],"existing":[19],"personalized":[20,26,36,45,65,74,82,96,106,114,129,168],"mechanisms":[21],"only":[22],"consider":[23,33],"meeting":[24],"requirements":[27,37,56,93,122,152],"collectors":[30,139],"and":[31,140,156,172,184],"rarely":[32],"potential":[35],"users.":[40],"Furthermore,":[41],"how":[42],"provide":[44],"results":[48,85],"for":[49,86,99,167],"users":[51,88,155],"with":[52,89],"different":[53,90],"quality":[55,92,151,158,170],"has":[57],"not":[58],"been":[59],"addressed.":[60],"This":[61],"paper":[62],"proposes":[63],"a":[64,105,142],"privacy-preserving":[66,107],"(P3IF)":[69],"mechanism":[70,76],"based":[71,111],"on":[72,112,119,132],"sampling":[75,131],"in":[77],"MCS.":[79],"P3IF":[80],"provides":[81],"while":[94],"ensuring":[95],"privacy":[97,116,121,130],"protection":[98],"collectors.":[101],"Specifically,":[102],"we":[103,127],"design":[104],"scheme":[110],"differential":[115],"mechanism.":[117],"Considering":[118],"collectors,":[126],"conduct":[128],"raw":[134],"from":[136],"subset":[143,164],"sensing":[145],"data.":[146],"According":[147],"each":[160],"data,":[161],"obtained":[163],"sampled":[166],"requirements,":[171],"final":[174],"set":[176],"obtained.":[178],"Simulation":[179],"experiments":[180],"verify":[181],"feasibility":[183],"effectiveness":[185],"P3IF.":[187]},"counts_by_year":[],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}