{"id":"https://openalex.org/W2163957614","doi":"https://doi.org/10.1109/percom.2009.4912864","title":"Towards privacy-sensitive participatory sensing","display_name":"Towards privacy-sensitive participatory sensing","publication_year":2009,"publication_date":"2009-03-01","ids":{"openalex":"https://openalex.org/W2163957614","doi":"https://doi.org/10.1109/percom.2009.4912864","mag":"2163957614"},"language":"en","primary_location":{"id":"doi:10.1109/percom.2009.4912864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percom.2009.4912864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Pervasive Computing and Communications","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/A5034132473","display_name":"Kuan Lun Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Kuan Lun Huang","raw_affiliation_strings":["School of Computer Science and Engineering, University of New South Wales, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059077090","display_name":"Salil S. Kanhere","orcid":"https://orcid.org/0000-0002-1835-3475"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Salil S. Kanhere","raw_affiliation_strings":["School of Computer Science and Engineering, University of New South Wales, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042014818","display_name":"Wen Hu","orcid":"https://orcid.org/0000-0002-4076-1811"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"funder","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wen Hu","raw_affiliation_strings":["Autonomous Systems Laboratory, CSIRO ICT Centre, Australia"],"affiliations":[{"raw_affiliation_string":"Autonomous Systems Laboratory, CSIRO ICT Centre, Australia","institution_ids":["https://openalex.org/I1292875679"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034132473"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":6.0852,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.96261568,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9994999766349792,"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":0.992900013923645,"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/participatory-sensing","display_name":"Participatory sensing","score":0.9276988506317139},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7775154113769531},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5522701740264893},{"id":"https://openalex.org/keywords/information-sensitivity","display_name":"Information sensitivity","score":0.5235978364944458},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5064221620559692},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4413922429084778},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.4389348030090332},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.43535125255584717},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4134734570980072},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37965822219848633},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3491464853286743},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.2842256724834442},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1647321879863739},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12389928102493286}],"concepts":[{"id":"https://openalex.org/C2779208394","wikidata":"https://www.wikidata.org/wiki/Q7140460","display_name":"Participatory sensing","level":2,"score":0.9276988506317139},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7775154113769531},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5522701740264893},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.5235978364944458},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5064221620559692},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4413922429084778},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4389348030090332},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.43535125255584717},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4134734570980072},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37965822219848633},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3491464853286743},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2842256724834442},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1647321879863739},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12389928102493286},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/percom.2009.4912864","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percom.2009.4912864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Pervasive Computing and Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1548223670","https://openalex.org/W1567112666","https://openalex.org/W1588795902","https://openalex.org/W1974887268","https://openalex.org/W2033472483","https://openalex.org/W2041454412","https://openalex.org/W2050529748","https://openalex.org/W2109334766","https://openalex.org/W2129751437","https://openalex.org/W2144169341","https://openalex.org/W2146697949","https://openalex.org/W2159024459","https://openalex.org/W2163036976","https://openalex.org/W2170918595","https://openalex.org/W6633976201"],"related_works":["https://openalex.org/W2949507301","https://openalex.org/W2296391209","https://openalex.org/W4301376527","https://openalex.org/W2471049021","https://openalex.org/W2149058896","https://openalex.org/W1963651427","https://openalex.org/W2985900455","https://openalex.org/W2528205715","https://openalex.org/W2181712093","https://openalex.org/W2163957614"],"abstract_inverted_index":{"The":[0],"ubiquity":[1],"of":[2,10,38,50,106,124,163],"mobile":[3],"devices":[4],"has":[5,79],"brought":[6],"forth":[7],"the":[8,23,35,39,48,71,103,122,129,138,170],"concept":[9,53],"participatory":[11],"sensing,":[12],"whereby":[13],"ordinary":[14],"citizens":[15],"can":[16,156],"now":[17],"contribute":[18],"and":[19,74,136],"share":[20],"information":[21,139],"from":[22],"urban":[24],"environment.":[25],"However,":[26],"such":[27],"applications":[28],"introduce":[29],"a":[30,52,61,89],"key":[31],"research":[32],"challenge:":[33],"preserving":[34],"location":[36],"privacy":[37,57],"individuals":[40],"contributing":[41],"data.":[42],"In":[43],"this":[44,64],"paper,":[45],"we":[46],"propose":[47,88],"use":[49],"microaggregation,":[51],"used":[54],"for":[55],"protecting":[56],"in":[58,82],"databases,":[59],"as":[60],"solution":[62],"to":[63,97,134],"problem.":[65],"We":[66,87],"compare":[67],"microaggregation":[68],"with":[69,152,159,165],"tessellation,":[70],"current":[72],"state-of-the-art,":[73],"demonstrate":[75],"that":[76,118,148],"each":[77],"technique":[78],"its":[80],"advantage":[81],"certain":[83],"mutually":[84],"exclusive":[85],"situations.":[86],"hybrid":[90,119],"scheme":[91],"called,":[92],"Hybrid":[93],"Variable-Size":[94],"Maximum":[95],"Distance":[96],"Average":[98],"Vector":[99],"(V-MDAV),":[100],"which":[101],"combines":[102],"positive":[104,125],"aspects":[105],"both":[107],"these":[108],"techniques.":[109],"Our":[110],"evaluations":[111],"based":[112],"on":[113,169],"real-world":[114],"data":[115],"traces":[116],"show":[117,147],"V-MDAV":[120],"improves":[121],"percentage":[123],"identifications":[126],"made":[127],"by":[128,132,141],"application":[130],"server":[131],"up":[133],"100%":[135],"decreases":[137],"loss":[140],"about":[142],"40%.":[143],"Furthermore,":[144],"our":[145],"studies":[146],"perturbing":[149],"user":[150],"locations":[151],"random":[153],"Gaussian":[154],"noise":[155],"provide":[157],"users":[158],"an":[160],"extra":[161],"layer":[162],"protection":[164],"very":[166],"little":[167],"impact":[168],"system":[171],"performance.":[172]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}