{"id":"https://openalex.org/W2959468741","doi":"https://doi.org/10.1109/icc.2019.8761769","title":"Towards Private and Efficient Ad Impression Aggregation in Mobile Advertising","display_name":"Towards Private and Efficient Ad Impression Aggregation in Mobile Advertising","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2959468741","doi":"https://doi.org/10.1109/icc.2019.8761769","mag":"2959468741"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2019.8761769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5017433297","display_name":"Dongxiao Liu","orcid":"https://orcid.org/0000-0003-2595-6757"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"funder","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Dongxiao Liu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033931001","display_name":"Jianbing Ni","orcid":"https://orcid.org/0000-0002-5639-0883"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"funder","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jianbing Ni","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083787204","display_name":"Xiaodong Lin","orcid":"https://orcid.org/0000-0001-8916-6645"},"institutions":[{"id":"https://openalex.org/I79817857","display_name":"University of Guelph","ror":"https://ror.org/01r7awg59","country_code":"CA","type":"funder","lineage":["https://openalex.org/I79817857"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiaodong Lin","raw_affiliation_strings":["School of Computer Science, University of Guelph, Guelph, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Guelph, Guelph, Canada","institution_ids":["https://openalex.org/I79817857"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100773343","display_name":"Xuemin Shen","orcid":"https://orcid.org/0000-0002-4140-287X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuemin Shen","raw_affiliation_strings":["University of Waterloo, Waterloo, ON, CA"],"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, ON, CA","institution_ids":[]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":61},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998,"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/T10237","display_name":"Cryptography and Data Security","score":0.9998,"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":0.9997,"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/homomorphic-encryption","display_name":"Homomorphic Encryption","score":0.7090811},{"id":"https://openalex.org/keywords/impression","display_name":"Impression","score":0.5226721},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.41296357},{"id":"https://openalex.org/keywords/electronic-voting","display_name":"Electronic voting","score":0.4117067}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7395082},{"id":"https://openalex.org/C2777094542","wikidata":"https://www.wikidata.org/wiki/Q905151","display_name":"Ballot","level":4,"score":0.7245145},{"id":"https://openalex.org/C158338273","wikidata":"https://www.wikidata.org/wiki/Q2154943","display_name":"Homomorphic encryption","level":3,"score":0.7090811},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.6982109},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5565801},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.54820114},{"id":"https://openalex.org/C2776684213","wikidata":"https://www.wikidata.org/wiki/Q6007582","display_name":"Impression","level":2,"score":0.5226721},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.47751847},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.46828458},{"id":"https://openalex.org/C6295992","wikidata":"https://www.wikidata.org/wiki/Q976521","display_name":"Cryptosystem","level":3,"score":0.4522914},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.4408611},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.41296357},{"id":"https://openalex.org/C2780612046","wikidata":"https://www.wikidata.org/wiki/Q926161","display_name":"Electronic voting","level":4,"score":0.4117067},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.39263403},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.14393789},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1416429},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07510692},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2019.8761769","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, justice, and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.77}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":19,"referenced_works":["https://openalex.org/W1589034595","https://openalex.org/W1773518014","https://openalex.org/W2147096042","https://openalex.org/W2157286909","https://openalex.org/W2170561193","https://openalex.org/W2189109560","https://openalex.org/W2292275324","https://openalex.org/W2536316226","https://openalex.org/W2599930814","https://openalex.org/W2607985742","https://openalex.org/W2767079719","https://openalex.org/W2783908022","https://openalex.org/W2790009648","https://openalex.org/W2885696728","https://openalex.org/W2900186171","https://openalex.org/W2963822870","https://openalex.org/W3003261738","https://openalex.org/W3125518450","https://openalex.org/W827005847"],"related_works":["https://openalex.org/W4402347828","https://openalex.org/W4401506700","https://openalex.org/W4285182480","https://openalex.org/W3185631915","https://openalex.org/W3044910261","https://openalex.org/W2363140998","https://openalex.org/W2278672017","https://openalex.org/W2160708112","https://openalex.org/W2065670687","https://openalex.org/W2019613772"],"abstract_inverted_index":{"In":[0,78],"the":[1,19,23,37,45,72,75,96,103,110,114,124,143,154,157,162,165,170,173,184],"secure":[2],"mobile":[3,5,68,92,193],"advertising,":[4],"users":[6],"privately":[7],"select":[8],"advertisements":[9],"of":[10,74,109,116,156,164,172],"interest":[11],"for":[12,36,189],"displaying":[13],"without":[14],"exposing":[15],"their":[16,49],"preferences":[17],"to":[18,40,58,71,94,149],"ad":[20,33,38,50,87,98],"network.":[21],"However,":[22],"strong":[24],"privacy":[25],"guarantee":[26],"has":[27,137],"uncovered":[28],"limitations":[29],"on":[30,44,67,123,192],"gathering":[31],"aggregated":[32],"impression":[34,88,99,167],"statistics":[35,100,168],"network":[39],"enforce":[41],"correct":[42],"billing":[43],"merchants":[46],"who":[47],"run":[48],"campaigns.":[51],"Early":[52],"efforts":[53],"integrated":[54],"cryptographic":[55,119,178],"voting":[56,120],"mechanism":[57,121],"address":[59],"this":[60,79],"challenge,":[61],"which":[62],"introduces":[63],"additional":[64],"bandwidth":[65,139],"overhead":[66],"devices":[69],"due":[70],"construction":[73],"ballot":[76,144,174],"proof.":[77],"paper,":[80],"we":[81],"propose":[82],"a":[83],"private":[84],"and":[85,130,169],"efficient":[86,118],"aggregation":[89],"scheme":[90,112,136,186],"in":[91],"advertising":[93],"protect":[95],"individual":[97,166],"while":[101],"preventing":[102],"ad-fraud":[104],"attack.":[105],"The":[106,134],"main":[107],"idea":[108],"proposed":[111,135,185],"is":[113,187],"design":[115],"an":[117],"based":[122],"compact":[125],"hamming":[126],"weight":[127],"proof":[128,145,175],"technique":[129],"additive":[131],"homomorphic":[132],"encryption.":[133],"better":[138],"efficiency":[140],"by":[141],"reducing":[142],"size":[146],"from":[147],"O(logN)":[148],"O(1),":[150],"where":[151],"N":[152],"denotes":[153],"dimension":[155],"ballot.":[158],"Security":[159],"analysis":[160],"demonstrates":[161],"confidentiality":[163],"verifiability":[171],"under":[176],"standard":[177],"assumptions.":[179],"Experimental":[180],"results":[181],"consolidate":[182],"that":[183],"feasible":[188],"real-world":[190],"implementations":[191],"devices.":[194]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2959468741","counts_by_year":[],"updated_date":"2025-01-30T16:37:33.726651","created_date":"2019-07-23"}