{"id":"https://openalex.org/W1585601131","doi":"https://doi.org/10.1080/07421222.1989.11517851","title":"Security of Statistical Databases with an Output Perturbation Technique","display_name":"Security of Statistical Databases with an Output Perturbation Technique","publication_year":1989,"publication_date":"1989-06-01","ids":{"openalex":"https://openalex.org/W1585601131","doi":"https://doi.org/10.1080/07421222.1989.11517851","mag":"1585601131"},"language":"en","primary_location":{"id":"doi:10.1080/07421222.1989.11517851","is_oa":false,"landing_page_url":"https://doi.org/10.1080/07421222.1989.11517851","pdf_url":null,"source":{"id":"https://openalex.org/S9954729","display_name":"Journal of Management Information Systems","issn_l":"0742-1222","issn":["0742-1222","1557-928X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Management Information Systems","raw_type":"journal-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/A5080717796","display_name":"Nabil R. Adam","orcid":"https://orcid.org/0000-0002-9931-9972"},"institutions":[{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Nabil R. Adam","raw_affiliation_strings":["View further author information","Rutgers Business School, Management & Information Systems"],"affiliations":[{"raw_affiliation_string":"View further author information","institution_ids":[]},{"raw_affiliation_string":"Rutgers Business School, Management & Information Systems","institution_ids":["https://openalex.org/I4210096112"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086288252","display_name":"Douglas H. Jones","orcid":"https://orcid.org/0000-0002-7812-9125"},"institutions":[{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Douglas H. Jones","raw_affiliation_strings":["View further author information","Rutgers Business School, Management & Information Systems"],"affiliations":[{"raw_affiliation_string":"View further author information","institution_ids":[]},{"raw_affiliation_string":"Rutgers Business School, Management & Information Systems","institution_ids":["https://openalex.org/I4210096112"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080717796"],"corresponding_institution_ids":["https://openalex.org/I4210096112"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.0555835,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"6","issue":"1","first_page":"101","last_page":"110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9739000201225281,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.774638295173645},{"id":"https://openalex.org/keywords/confidentiality","display_name":"Confidentiality","score":0.5303533673286438},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.5034772753715515},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4782496988773346},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.46316608786582947},{"id":"https://openalex.org/keywords/perturbation","display_name":"Perturbation (astronomy)","score":0.41577214002609253},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08041399717330933}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.774638295173645},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.5303533673286438},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.5034772753715515},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4782496988773346},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.46316608786582947},{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.41577214002609253},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08041399717330933},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/07421222.1989.11517851","is_oa":false,"landing_page_url":"https://doi.org/10.1080/07421222.1989.11517851","pdf_url":null,"source":{"id":"https://openalex.org/S9954729","display_name":"Journal of Management Information Systems","issn_l":"0742-1222","issn":["0742-1222","1557-928X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Management Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:alma.01RUT_INST:11663450230004646","is_oa":false,"landing_page_url":"https://scholarship.libraries.rutgers.edu/esploro/outputs/journalArticle/Security-of-Statistical-Databases-with-an/991031653972904646","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1580334350","https://openalex.org/W1882297107","https://openalex.org/W1954820475","https://openalex.org/W1976523961","https://openalex.org/W2062235982","https://openalex.org/W2104499761","https://openalex.org/W2106912011","https://openalex.org/W2124181495","https://openalex.org/W2132591512","https://openalex.org/W3026721701"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W2091483479"],"abstract_inverted_index":{"Abstract:A":[0],"statistical":[1,174],"database":[2,30,266,272],"aims":[3],"at":[4,196,304],"providing":[5],"users":[6],"with":[7],"statistics":[8],"about":[9],"the":[10,15,18,25,29,62,134,136,143,155,159,197,249,285,305,347,353],"population":[11],"while":[12],"not":[13],"compromising":[14],"confidentiality":[16],"of":[17,38,103,112,133,142,154,173,200,202,224,248,287,301,308,310,349,352],"individuals":[19],"whose":[20],"data":[21,77],"are":[22],"included":[23],"in":[24,61,97,270,284,346],"database.":[26],"Threats":[27],"to":[28,40,50,100,107,121,218,290],"security":[31,53,172,184],"range":[32],"from":[33,212,319,326],"issuing":[34],"cleverly":[35],"designed":[36],"sequences":[37],"queries":[39,146,163],"using":[41],"such":[42],"sophisticated":[43],"methods":[44,57,65],"as":[45,281],"regression":[46],"analysis.":[47],"In":[48],"order":[49],"overcome":[51],"this":[52,104],"problem,":[54],"several":[55,291],"solution":[56],"have":[58],"been":[59],"suggested":[60,148],"literature.":[63],"These":[64,82],"can":[66,85],"be":[67,86,118],"classified":[68],"under":[69],"four":[70],"general":[71],"approaches:":[72],"conceptual":[73],"modeling;":[74],"query":[75],"restriction;":[76],"perturbation;":[78],"and":[79,93,123,139,158,179,210,229,251,276,317,323,335,340,357],"output":[80,113],"perturbation.":[81],"methods,":[83],"however,":[84],"easily":[87],"compromised,":[88],"or":[89,95],"require":[90],"excessive":[91],"CPU":[92],"memory,":[94],"result":[96],"biased":[98],"response":[99],"users.The":[101],"purpose":[102],"paper":[105],"is":[106,129,166,176,193,298],"propose":[108],"a":[109,168,235,254,282],"new":[110],"type":[111],"perturbation":[114],"method":[115,128,147,157,164],"that":[116],"may":[117],"very":[119],"difficult":[120],"compromise":[122],"provides":[124],"unbiased":[125],"response.":[126],"The":[127],"based":[130],"on":[131,187,238,243,257],"recoding":[132],"data,":[135],"jackknifing":[137],"concept,":[138],"an":[140],"extension":[141],"random":[144,161],"sample":[145,162],"by":[149],"Denning":[150],"[5].":[151],"A":[152],"comparison":[153],"proposed":[156],"modified":[160],"(which":[165],"considered":[167],"viable":[169],"alternative":[170],"for":[171,241,246,259],"databases)":[175],"presented.Key":[177],"Words":[178],"Phrases:":[180],"Database":[181,239,288],"managementstatistical":[182],"databasesdatabase":[183],"Additional":[185],"informationNotes":[186],"contributorsNabil":[188],"R.":[189,191],"AdamNabil":[190],"Adam":[192],"Associate":[194,299],"Professor":[195,300],"Graduate":[198,306],"School":[199,307],"Management":[201,227,240,289,309],"Rutgers":[203,311],"University.":[204,214,312],"He":[205,215,232,278,313,343],"received":[206,314],"his":[207,315,324],"M.S.,":[208],"M.Phil.,":[209],"Ph.D.":[211,318],"Columbia":[213],"has":[216,233,252,279,344],"contributed":[217],"ACM":[219],"Computing":[220],"Surveys,":[221],"European":[222],"Journal":[223,351],"Operational":[225],"Research,":[226],"Science,":[228],"IEEE":[230],"Transactions.":[231],"edited":[234],"special":[236,255],"issue":[237,256],"JMIS,":[242],"Computer":[244],"Simulation":[245,258],"Communications":[247],"ACM,":[250],"co-edited":[253],"Operations":[260],"Research.":[261],"His":[262,331],"research":[263],"interests":[264],"include":[265,333],"security,":[267],"concurrency":[268],"control":[269],"distributed":[271],"systems,":[273],"computer":[274],"simulation":[275],"scheduling.":[277],"served":[280],"consultant":[283],"area":[286],"major":[292],"organizations.Douglas":[293],"H.":[294,296],"JonesDouglas":[295],"Jones":[297],"Quantitative":[302],"Studies":[303],"M.S.":[316],"Florida":[320,327],"State":[321],"University,":[322],"B.S.":[325],"Atlantic":[328],"University-Boca":[329],"Raton.":[330],"specialties":[332],"Mathematical":[334],"Applied":[336],"Statistics,":[337,350],"Mental":[338],"Measurement,":[339],"Data":[341],"Analysis.":[342],"published":[345],"Annals":[348],"American":[354],"Statistical":[355],"Association,":[356],"Psychometrika.":[358]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
