{"id":"https://openalex.org/W2969657730","doi":"https://doi.org/10.1109/cns.2019.8802641","title":"Randex: Mitigating Range Injection Attacks on Searchable Encryption","display_name":"Randex: Mitigating Range Injection Attacks on Searchable Encryption","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2969657730","doi":"https://doi.org/10.1109/cns.2019.8802641","mag":"2969657730"},"language":"en","primary_location":{"id":"doi:10.1109/cns.2019.8802641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cns.2019.8802641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Conference on Communications and Network Security (CNS)","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/A5085069651","display_name":"Hanyu Quan","orcid":"https://orcid.org/0000-0003-0479-5384"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanyu Quan","raw_affiliation_strings":["School of Cyber Engeering, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Engeering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100458897","display_name":"Hao Liu","orcid":"https://orcid.org/0000-0003-4271-1567"},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Liu","raw_affiliation_strings":["Department of EECS, University of Cincinnati, Cincinnati, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of EECS, University of Cincinnati, Cincinnati, OH, USA","institution_ids":["https://openalex.org/I63135867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100725035","display_name":"Boyang Wang","orcid":"https://orcid.org/0000-0001-8973-2328"},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Boyang Wang","raw_affiliation_strings":["Department of EECS, University of Cincinnati, Cincinnati, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of EECS, University of Cincinnati, Cincinnati, OH, USA","institution_ids":["https://openalex.org/I63135867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351421","display_name":"Ming Li","orcid":"https://orcid.org/0000-0002-4073-0273"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming Li","raw_affiliation_strings":["Department of ECE, University of Arizona, Tucson, AZ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of ECE, University of Arizona, Tucson, AZ, USA","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100401884","display_name":"Yuqing Zhang","orcid":"https://orcid.org/0000-0001-8306-7195"},"institutions":[{"id":"https://openalex.org/I4210108629","display_name":"Computer Network Information Center","ror":"https://ror.org/01s0wyf50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210108629"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqing Zhang","raw_affiliation_strings":["National Computer Network Intrusion Protection Center, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Computer Network Intrusion Protection Center, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210108629","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5467,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71394322,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"133","last_page":"141"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":1.0,"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":1.0,"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":0.9991000294685364,"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":0.9959999918937683,"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/encryption","display_name":"Encryption","score":0.8539355993270874},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.76918625831604},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.741165041923523},{"id":"https://openalex.org/keywords/obfuscation","display_name":"Obfuscation","score":0.7300254702568054},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.671576976776123},{"id":"https://openalex.org/keywords/plaintext","display_name":"Plaintext","score":0.5292621850967407},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.5082976222038269},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5048130750656128},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.47622019052505493},{"id":"https://openalex.org/keywords/symmetric-key-algorithm","display_name":"Symmetric-key algorithm","score":0.42778024077415466},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.4128905236721039},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.35913825035095215},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.25318819284439087},{"id":"https://openalex.org/keywords/public-key-cryptography","display_name":"Public-key cryptography","score":0.17579355835914612},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16444173455238342},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09890821576118469}],"concepts":[{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.8539355993270874},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.76918625831604},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.741165041923523},{"id":"https://openalex.org/C40305131","wikidata":"https://www.wikidata.org/wiki/Q2616305","display_name":"Obfuscation","level":2,"score":0.7300254702568054},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.671576976776123},{"id":"https://openalex.org/C92717368","wikidata":"https://www.wikidata.org/wiki/Q1162538","display_name":"Plaintext","level":3,"score":0.5292621850967407},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.5082976222038269},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5048130750656128},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.47622019052505493},{"id":"https://openalex.org/C65302260","wikidata":"https://www.wikidata.org/wiki/Q327675","display_name":"Symmetric-key algorithm","level":4,"score":0.42778024077415466},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.4128905236721039},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.35913825035095215},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25318819284439087},{"id":"https://openalex.org/C203062551","wikidata":"https://www.wikidata.org/wiki/Q201339","display_name":"Public-key cryptography","level":3,"score":0.17579355835914612},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16444173455238342},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09890821576118469},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cns.2019.8802641","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cns.2019.8802641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Conference on Communications and Network Security (CNS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1892798954","https://openalex.org/W2013823004","https://openalex.org/W2027595342","https://openalex.org/W2030888439","https://openalex.org/W2033165262","https://openalex.org/W2146828512","https://openalex.org/W2147929033","https://openalex.org/W2399539053","https://openalex.org/W2404098708","https://openalex.org/W2407957622","https://openalex.org/W2472177816","https://openalex.org/W2532292902","https://openalex.org/W2592789682","https://openalex.org/W2599541228","https://openalex.org/W2639926268","https://openalex.org/W2742225091","https://openalex.org/W2792158747","https://openalex.org/W2794508460","https://openalex.org/W2795193970","https://openalex.org/W2950325202","https://openalex.org/W2969307251","https://openalex.org/W6657138077","https://openalex.org/W6682311248","https://openalex.org/W6712419705","https://openalex.org/W6713547331","https://openalex.org/W6720239471","https://openalex.org/W6742396582"],"related_works":["https://openalex.org/W4312041519","https://openalex.org/W1653474085","https://openalex.org/W2358138126","https://openalex.org/W1992525896","https://openalex.org/W3121535427","https://openalex.org/W2184168081","https://openalex.org/W2670253592","https://openalex.org/W2549486132","https://openalex.org/W2411306012","https://openalex.org/W2944826326"],"abstract_inverted_index":{"Searchable":[0,29,128],"Encryption":[1,30,129],"enables":[2],"search":[3,24],"functions":[4],"over":[5],"encrypted":[6,57,79,98],"data":[7,17,54],"on":[8,96,159],"an":[9,86,144,191],"untrusted":[10],"server":[11],"without":[12,207],"the":[13,28,75,118,202,208],"need":[14],"of":[15,27,42,77,120,205],"accessing":[16],"or":[18],"queries":[19],"in":[20,55],"plaintext.":[21],"To":[22],"boost":[23],"time,":[25],"most":[26],"schemes":[31],"leak":[32],"access":[33,38,111],"pattern.":[34,112],"Unfortunately,":[35],"by":[36,105,212],"harnessing":[37],"pattern,":[39],"a":[40,43,63,160,168],"variation":[41],"chosen-query":[44],"attack,":[45,49],"named":[46],"range":[47,64,121,149],"injection":[48,65,150],"can":[50,189],"efficiently":[51],"recover":[52],"sensitive":[53],"any":[56,127],"tuple.":[58],"The":[59],"privacy":[60,76,140,209],"leakage":[61,95],"under":[62],"attack":[66],"is":[67,71,124,198],"severe,":[68],"and":[69,123,141,155,167,184],"it":[70],"imperative":[72],"to":[73,90,93,117,195],"strengthen":[74],"searchable":[78,97],"data.":[80,99],"In":[81],"this":[82],"paper,":[83],"we":[84,101],"devise":[85],"efficient":[87],"mechanism,":[88],"referred":[89],"as":[91],"Randex,":[92],"mitigate":[94],"Specifically,":[100],"apply":[102],"pre-encryption":[103],"obfuscation":[104],"deploying":[106],"Randomized":[107],"Response,":[108],"which":[109,197],"obfuscates":[110],"Randex":[113,135,154,188],"renders":[114],"minimal":[115],"tradeoffs":[116],"correctness":[119],"queries,":[122],"compatible":[125],"with":[126,163,171,179],"scheme.":[130],"We":[131,152],"formally":[132],"prove":[133],"that":[134],"achieves":[136],"\u03f5":[137],"-local":[138],"differential":[139],"rigorously":[142],"analyze":[143],"adversary's":[145,192],"guessing":[146,193,203],"probability":[147,194,204],"against":[148],"attacks.":[151],"implement":[153],"conduct":[156],"extensive":[157],"experiments":[158],"synthetic":[161],"dataset":[162,170],"1":[164,206],"million":[165],"tuples":[166],"real-world":[169],"299":[172],"thousand":[173],"tuples.":[174],"Our":[175],"results":[176],"suggest":[177],"that,":[178],"only":[180],"4%":[181],"false":[182,186],"negatives":[183],"no":[185],"positives,":[187],"suppress":[190],"0.17,":[196],"significantly":[199],"lower":[200],"than":[201],"protection":[210],"offered":[211],"Randex.":[213]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
