{"id":"https://openalex.org/W7131414986","doi":"https://doi.org/10.48550/arxiv.2602.20952","title":"RISK: Efficiently processing rich spatial-keyword queries on encrypted geo-textual data","display_name":"RISK: Efficiently processing rich spatial-keyword queries on encrypted geo-textual data","publication_year":2026,"publication_date":"2026-02-24","ids":{"openalex":"https://openalex.org/W7131414986","doi":"https://doi.org/10.48550/arxiv.2602.20952"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2602.20952","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.20952","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2602.20952","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126853539","display_name":"Zhen Lv","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lv, Zhen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126827172","display_name":"Cong Cao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cao, Cong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072102175","display_name":"Hongwei Huo","orcid":"https://orcid.org/0000-0002-5436-1851"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huo, Hongwei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121829273","display_name":"Jiangtao Cui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cui, Jiangtao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003941820","display_name":"Yanguo Peng","orcid":"https://orcid.org/0000-0002-3210-0714"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng, Yanguo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126798130","display_name":"Hui Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Hui","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5125906843","display_name":"Yingfan Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yingfan","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5126853539"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10237","display_name":"Cryptography and Data Security","score":0.6868000030517578,"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/T10237","display_name":"Cryptography and Data Security","score":0.6868000030517578,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.1655000001192093,"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/T11106","display_name":"Data Management and Algorithms","score":0.03999999910593033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/encryption","display_name":"Encryption","score":0.7829999923706055},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.5608000159263611},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.5346999764442444},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.4912000000476837},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4880000054836273},{"id":"https://openalex.org/keywords/quadtree","display_name":"Quadtree","score":0.4641999900341034},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.42719998955726624},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.38760000467300415}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7871999740600586},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.7829999923706055},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.5608000159263611},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.5346999764442444},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49630001187324524},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.492000013589859},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.4912000000476837},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4880000054836273},{"id":"https://openalex.org/C151416825","wikidata":"https://www.wikidata.org/wiki/Q934791","display_name":"Quadtree","level":2,"score":0.4641999900341034},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.42719998955726624},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.38760000467300415},{"id":"https://openalex.org/C116738811","wikidata":"https://www.wikidata.org/wiki/Q608751","display_name":"Nearest neighbor search","level":2,"score":0.3409000039100647},{"id":"https://openalex.org/C65302260","wikidata":"https://www.wikidata.org/wiki/Q327675","display_name":"Symmetric-key algorithm","level":4,"score":0.33739998936653137},{"id":"https://openalex.org/C136736807","wikidata":"https://www.wikidata.org/wiki/Q818943","display_name":"Range query (database)","level":5,"score":0.3070000112056732},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.2985999882221222},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2858000099658966},{"id":"https://openalex.org/C10511746","wikidata":"https://www.wikidata.org/wiki/Q899388","display_name":"Data security","level":3,"score":0.2687999904155731},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C201932085","wikidata":"https://www.wikidata.org/wiki/Q642514","display_name":"Online analytical processing","level":3,"score":0.2669000029563904},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C203062551","wikidata":"https://www.wikidata.org/wiki/Q201339","display_name":"Public-key cryptography","level":3,"score":0.2574999928474426},{"id":"https://openalex.org/C15927051","wikidata":"https://www.wikidata.org/wiki/Q246593","display_name":"Cryptographic primitive","level":4,"score":0.2549000084400177}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2602.20952","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.20952","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2602.20952","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.20952","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Symmetric":[0],"searchable":[1],"encryption":[2],"(SSE)":[3],"for":[4,19,46,142],"geo-textual":[5,52],"data":[6],"has":[7],"attracted":[8],"significant":[9],"attention.":[10],"However,":[11],"existing":[12],"schemes":[13],"rely":[14],"on":[15,50,61,117],"task-specific,":[16],"incompatible":[17],"indices":[18],"isolated":[20],"specific":[21],"secure":[22,96,104],"queries":[23,49,145],"(e.g.,":[24,84],"range":[25,97,144],"or":[26],"k-nearest":[27,64,99],"neighbor":[28,65,100,148],"spatial-keyword":[29,48],"queries),":[30],"limiting":[31],"practicality":[32],"due":[33],"to":[34,110],"prohibitive":[35],"multi-index":[36],"overhead.":[37],"To":[38],"address":[39],"this,":[40],"we":[41],"propose":[42],"RISK,":[43],"a":[44,55,62],"model":[45],"rich":[47],"encrypted":[51,79],"data.":[53],"In":[54],"textual-first-then-spatial":[56],"manner,":[57],"RISK":[58,92,126],"is":[59,102],"built":[60],"novel":[63],"quadtree":[66],"(kQ-tree)":[67],"that":[68,125],"embeds":[69],"representative":[70],"and":[71,88,98,108,113,120,134,146],"regional":[72],"nearest":[73],"neighbors,":[74],"with":[75],"the":[76],"kQ-tree":[77],"further":[78],"using":[80],"standard":[81],"cryptographic":[82],"tools":[83],"keyed":[85],"hash":[86],"functions":[87],"symmetric":[89],"encryption).":[90],"Overall,":[91],"seamlessly":[93],"supports":[94],"both":[95],"queries,":[101,149],"provably":[103],"under":[105],"IND-CKA2":[106],"model,":[107],"extensible":[109],"multi-party":[111],"scenarios":[112],"dynamic":[114],"updates.":[115],"Experiments":[116],"three":[118],"real-world":[119],"one":[121],"synthetic":[122],"datasets":[123],"show":[124],"outperforms":[127],"state-of-the-art":[128],"methods":[129],"by":[130],"at":[131],"least":[132],"0.5":[133],"4":[135],"orders":[136],"of":[137],"magnitude":[138],"in":[139],"response":[140],"time":[141],"1%":[143],"10-nearest":[147],"respectively.":[150]},"counts_by_year":[],"updated_date":"2026-02-26T06:34:08.959763","created_date":"2026-02-26T00:00:00"}