{"id":"https://openalex.org/W2969307251","doi":"https://doi.org/10.1109/cns.2019.8802803","title":"Vaccine:: Obfuscating Access Pattern Against File-Injection Attacks","display_name":"Vaccine:: Obfuscating Access Pattern Against File-Injection Attacks","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2969307251","doi":"https://doi.org/10.1109/cns.2019.8802803","mag":"2969307251"},"language":"en","primary_location":{"id":"doi:10.1109/cns.2019.8802803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cns.2019.8802803","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":"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/A5100458790","display_name":"Hao Liu","orcid":"https://orcid.org/0000-0002-1979-8994"},"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":true,"raw_author_name":"Hao Liu","raw_affiliation_strings":["University of Cincinnati"],"affiliations":[{"raw_affiliation_string":"University of Cincinnati","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":["University of Cincinnati"],"affiliations":[{"raw_affiliation_string":"University of Cincinnati","institution_ids":["https://openalex.org/I63135867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044324103","display_name":"Nan Niu","orcid":"https://orcid.org/0000-0001-5566-2368"},"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":"Nan Niu","raw_affiliation_strings":["University of Cincinnati"],"affiliations":[{"raw_affiliation_string":"University of Cincinnati","institution_ids":["https://openalex.org/I63135867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056978982","display_name":"Shomir Wilson","orcid":"https://orcid.org/0000-0003-1235-3754"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shomir Wilson","raw_affiliation_strings":["Pennsylvania State University"],"affiliations":[{"raw_affiliation_string":"Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003379167","display_name":"Xuetao Wei","orcid":"https://orcid.org/0000-0002-4450-2251"},"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":"Xuetao Wei","raw_affiliation_strings":["University of Cincinnati"],"affiliations":[{"raw_affiliation_string":"University of Cincinnati","institution_ids":["https://openalex.org/I63135867"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100458790"],"corresponding_institution_ids":["https://openalex.org/I63135867"],"apc_list":null,"apc_paid":null,"fwci":0.4201,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70930205,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"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":0.9994999766349792,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9966999888420105,"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":0.8188303709030151},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8112763166427612},{"id":"https://openalex.org/keywords/obfuscation","display_name":"Obfuscation","score":0.726047694683075},{"id":"https://openalex.org/keywords/plaintext","display_name":"Plaintext","score":0.7140401005744934},{"id":"https://openalex.org/keywords/symmetric-key-algorithm","display_name":"Symmetric-key algorithm","score":0.4575573205947876},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4176822304725647},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34662383794784546},{"id":"https://openalex.org/keywords/public-key-cryptography","display_name":"Public-key cryptography","score":0.23944365978240967}],"concepts":[{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.8188303709030151},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8112763166427612},{"id":"https://openalex.org/C40305131","wikidata":"https://www.wikidata.org/wiki/Q2616305","display_name":"Obfuscation","level":2,"score":0.726047694683075},{"id":"https://openalex.org/C92717368","wikidata":"https://www.wikidata.org/wiki/Q1162538","display_name":"Plaintext","level":3,"score":0.7140401005744934},{"id":"https://openalex.org/C65302260","wikidata":"https://www.wikidata.org/wiki/Q327675","display_name":"Symmetric-key algorithm","level":4,"score":0.4575573205947876},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4176822304725647},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34662383794784546},{"id":"https://openalex.org/C203062551","wikidata":"https://www.wikidata.org/wiki/Q201339","display_name":"Public-key cryptography","level":3,"score":0.23944365978240967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cns.2019.8802803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cns.2019.8802803","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":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1502708590","https://openalex.org/W1574901103","https://openalex.org/W1988847710","https://openalex.org/W2005756274","https://openalex.org/W2016575873","https://openalex.org/W2033165262","https://openalex.org/W2074388704","https://openalex.org/W2123845384","https://openalex.org/W2146828512","https://openalex.org/W2147929033","https://openalex.org/W2152516507","https://openalex.org/W2159915142","https://openalex.org/W2396162732","https://openalex.org/W2404098708","https://openalex.org/W2407957622","https://openalex.org/W2472177816","https://openalex.org/W2532292902","https://openalex.org/W2539385377","https://openalex.org/W2592789682","https://openalex.org/W2618202244","https://openalex.org/W2739132638","https://openalex.org/W2752337926","https://openalex.org/W2765463836","https://openalex.org/W2766707306","https://openalex.org/W2792158747","https://openalex.org/W2794508460","https://openalex.org/W2887222528","https://openalex.org/W2949560757","https://openalex.org/W2950325202","https://openalex.org/W2969657730","https://openalex.org/W6682311248","https://openalex.org/W6713547331","https://openalex.org/W6720239471","https://openalex.org/W6763786048"],"related_works":["https://openalex.org/W2098392677","https://openalex.org/W2362689357","https://openalex.org/W2322947709","https://openalex.org/W1653474085","https://openalex.org/W2365982350","https://openalex.org/W2508016950","https://openalex.org/W4385192994","https://openalex.org/W4255237014","https://openalex.org/W2358138126","https://openalex.org/W4242847202"],"abstract_inverted_index":{"Searchable":[0,34,68],"Encryption":[1,35],"can":[2,60,85,135,158],"search":[3,141,189],"over":[4,21],"encrypted":[5,45,89],"data":[6,9,22,90],"without":[7],"accessing":[8],"or":[10],"queries":[11,18,123],"in":[12,124,188],"plaintext.":[13,125],"It":[14],"preserves":[15],"privacy":[16,65,175],"while":[17],"are":[19,47],"performed":[20],"on":[23,151],"an":[24,114,160],"untrusted":[25],"server.":[26],"To":[27],"ensure":[28],"the":[29,63,96],"efficiency":[30],"of":[31,99],"search,":[32],"most":[33],"schemes":[36],"reveal":[37],"access":[38,55,110],"patterns,":[39,56],"i.e.,":[40],"a":[41,57,75,92,104,152],"server":[42],"learns":[43],"which":[44,84,108,172],"files":[46,139],"retrieved":[48],"for":[49],"each":[50],"query.":[51],"Unfortunately,":[52],"by":[53,67,113,128],"collecting":[54],"file-injection":[58,93,106],"attack":[59],"completely":[61],"compromise":[62],"query":[64],"offered":[66],"Encryption.":[69],"In":[70,126],"this":[71,118],"paper,":[72],"we":[73],"propose":[74],"novel":[76],"pre-encryption":[77],"obfuscation":[78],"mechanism,":[79],"referred":[80],"to":[81,102,166],"as":[82],"Vaccine,":[83],"effectively":[86,136],"protect":[87],"searchable":[88],"against":[91],"attack.":[94],"Specifically,":[95],"main":[97],"idea":[98],"Vaccine":[100,134,157,178],"is":[101],"introduce":[103,145],"self":[105],"attack,":[107],"obfuscates":[109],"patterns":[111],"obtained":[112],"attacker":[115,119],"and":[116,143,184],"prevents":[117],"from":[120,140,164],"inferring":[121],"correct":[122],"addition,":[127],"harnessing":[129],"natural":[130],"language":[131],"processing":[132],"techniques,":[133],"remove":[137],"self-injected":[138],"results,":[142],"therefore":[144],"minimal":[146],"tradeoffs.":[147],"Our":[148],"experimental":[149],"results":[150],"real-world":[153],"dataset":[154],"show":[155],"that":[156],"reduce":[159],"adversary's":[161],"guessing":[162],"probability":[163],"1":[165],"3.7\u00d710":[167],"<sup":[168],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[169],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">-3</sup>":[170],",":[171],"significantly":[173],"promotes":[174],"protection.":[176],"Furthermore,":[177],"introduces":[179],"only":[180],"3.4%":[181],"false":[182,186],"negatives":[183],"no":[185],"positives":[187],"results.":[190]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
