{"id":"https://openalex.org/W3047615315","doi":"https://doi.org/10.1109/percomworkshops48775.2020.9156133","title":"A Privacy Preserving Framework for Rewarding Users in Opportunistic Mobile Crowdsensing","display_name":"A Privacy Preserving Framework for Rewarding Users in Opportunistic Mobile Crowdsensing","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3047615315","doi":"https://doi.org/10.1109/percomworkshops48775.2020.9156133","mag":"3047615315"},"language":"en","primary_location":{"id":"doi:10.1109/percomworkshops48775.2020.9156133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops48775.2020.9156133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11380/1207930","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040308565","display_name":"Federico Montori","orcid":"https://orcid.org/0000-0002-9943-4209"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Federico Montori","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Bologna, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062522099","display_name":"Luca Bedogni","orcid":"https://orcid.org/0000-0001-9993-4046"},"institutions":[{"id":"https://openalex.org/I122346577","display_name":"University of Modena and Reggio Emilia","ror":"https://ror.org/02d4c4y02","country_code":"IT","type":"education","lineage":["https://openalex.org/I122346577"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Bedogni","raw_affiliation_strings":["Department of Physics, Informatics and Mathematics, University of Modena and Reggio Emilia, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Physics, Informatics and Mathematics, University of Modena and Reggio Emilia, Italy","institution_ids":["https://openalex.org/I122346577"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040308565"],"corresponding_institution_ids":["https://openalex.org/I9360294"],"apc_list":null,"apc_paid":null,"fwci":0.9825,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.81664674,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9998000264167786,"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":0.9998000264167786,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9879000186920166,"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/geolocation","display_name":"Geolocation","score":0.9208342432975769},{"id":"https://openalex.org/keywords/crowdsensing","display_name":"Crowdsensing","score":0.8566443920135498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8149999380111694},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.5343920588493347},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.5094013810157776},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.44907692074775696},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3553280234336853},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33743059635162354},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.32457613945007324}],"concepts":[{"id":"https://openalex.org/C22041718","wikidata":"https://www.wikidata.org/wiki/Q638949","display_name":"Geolocation","level":2,"score":0.9208342432975769},{"id":"https://openalex.org/C2780821482","wikidata":"https://www.wikidata.org/wiki/Q25381721","display_name":"Crowdsensing","level":2,"score":0.8566443920135498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8149999380111694},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.5343920588493347},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.5094013810157776},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.44907692074775696},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3553280234336853},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33743059635162354},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.32457613945007324}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/percomworkshops48775.2020.9156133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops48775.2020.9156133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","raw_type":"proceedings-article"},{"id":"pmh:oai:cris.unibo.it:11585/818202","is_oa":false,"landing_page_url":"http://hdl.handle.net/11585/818202","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:iris.unimore.it:11380/1207930","is_oa":true,"landing_page_url":"http://hdl.handle.net/11380/1207930","pdf_url":null,"source":{"id":"https://openalex.org/S4306400718","display_name":"IRIS UNIMORE (University of Modena and Reggio Emilia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122346577","host_organization_name":"University of Modena and Reggio Emilia","host_organization_lineage":["https://openalex.org/I122346577"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:iris.unimore.it:11380/1207930","is_oa":true,"landing_page_url":"http://hdl.handle.net/11380/1207930","pdf_url":null,"source":{"id":"https://openalex.org/S4306400718","display_name":"IRIS UNIMORE (University of Modena and Reggio Emilia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122346577","host_organization_name":"University of Modena and Reggio Emilia","host_organization_lineage":["https://openalex.org/I122346577"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1971752766","https://openalex.org/W1976535029","https://openalex.org/W1999110238","https://openalex.org/W2004907067","https://openalex.org/W2036686581","https://openalex.org/W2039922069","https://openalex.org/W2048509298","https://openalex.org/W2110953678","https://openalex.org/W2127347346","https://openalex.org/W2159024459","https://openalex.org/W2161743994","https://openalex.org/W2294082364","https://openalex.org/W2438328984","https://openalex.org/W2490096848","https://openalex.org/W2596904372","https://openalex.org/W2613582136","https://openalex.org/W2729523886","https://openalex.org/W2761646958","https://openalex.org/W2793561419","https://openalex.org/W2917595230","https://openalex.org/W3098269179"],"related_works":["https://openalex.org/W2584827882","https://openalex.org/W2538581760","https://openalex.org/W3195097297","https://openalex.org/W4225340788","https://openalex.org/W3038106605","https://openalex.org/W2513267613","https://openalex.org/W3049084372","https://openalex.org/W2528109871","https://openalex.org/W2940702331","https://openalex.org/W2905822832"],"abstract_inverted_index":{"Crowdsensing":[0],"is":[1,16,22,42,78,108],"rapidly":[2],"becoming":[3],"an":[4],"interesting":[5],"approach":[6],"for":[7,110,130,145],"scenarios":[8,133],"in":[9,103],"which":[10],"a":[11,19,24,81,127],"significant":[12],"amount":[13,50],"of":[14,53,92,100,113,139],"data":[15,36,55,61,77],"needed":[17],"and":[18,51,95,116,148],"static":[20],"infrastructure":[21],"not":[23],"viable":[25],"option":[26],"due":[27],"to":[28,44,72],"cost":[29],"or":[30,97],"other":[31,162],"challenges.":[32],"Although":[33],"users":[34,71,141],"collect":[35],"without":[37],"any":[38],"direct":[39],"cost,":[40],"it":[41,67],"common":[43],"reward":[45],"them":[46,144],"depending":[47],"on":[48,135,155],"the":[49,54,70,90,93,111,114,137,140],"quality":[52],"they":[56],"provide.":[57],"However,":[58],"as":[59],"this":[60,123],"also":[62,68],"carries":[63],"sensitive":[64],"geolocation":[65],"information,":[66],"exposes":[69],"privacy":[73,138],"concerns,":[74],"if":[75],"such":[76,106],"accessed":[79],"by":[80],"malicious":[82],"entity.":[83],"Geolocation":[84],"information":[85,88,107],"can":[86],"disclose":[87],"about":[89],"habit":[91],"user":[94],"his":[96],"her":[98],"places":[99],"interest,":[101],"however,":[102],"many":[104],"cases,":[105],"crucial":[109],"purpose":[112],"application":[115],"cannot":[117],"be":[118],"omitted":[119],"nor":[120],"distorted.":[121],"In":[122],"work,":[124],"we":[125],"present":[126],"novel":[128],"framework":[129],"opportunistic":[131],"MCS":[132],"focused":[134],"maintaining":[136],"while":[142],"rewarding":[143],"their":[146],"collected":[147],"geolocated":[149],"data.":[150],"We":[151],"evaluate":[152],"our":[153],"proposal":[154],"real":[156],"datasets,":[157],"quantifying":[158],"its":[159],"benefits":[160],"over":[161],"methodologies.":[163]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-08-10T00:00:00"}