{"id":"https://openalex.org/W1996009477","doi":"https://doi.org/10.1145/1314333.1314335","title":"Probabilistic analysis of onion routing in a black-box model","display_name":"Probabilistic analysis of onion routing in a black-box model","publication_year":2007,"publication_date":"2007-10-29","ids":{"openalex":"https://openalex.org/W1996009477","doi":"https://doi.org/10.1145/1314333.1314335","mag":"1996009477"},"language":"en","primary_location":{"id":"doi:10.1145/1314333.1314335","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1314333.1314335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2007 ACM workshop on Privacy in electronic society","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/A5048667886","display_name":"Joan Feigenbaum","orcid":"https://orcid.org/0000-0002-3735-6022"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Joan Feigenbaum","raw_affiliation_strings":["Yale University, New Haven, CT","YALE UNIVERSITY, New Haven, CT"],"affiliations":[{"raw_affiliation_string":"Yale University, New Haven, CT","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"YALE UNIVERSITY, New Haven, CT","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101643641","display_name":"Aaron Johnson","orcid":"https://orcid.org/0000-0002-2057-1690"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aaron Johnson","raw_affiliation_strings":["Yale University, New Haven, CT","YALE UNIVERSITY, New Haven, CT"],"affiliations":[{"raw_affiliation_string":"Yale University, New Haven, CT","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"YALE UNIVERSITY, New Haven, CT","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028116351","display_name":"Paul Syverson","orcid":null},"institutions":[{"id":"https://openalex.org/I1288214837","display_name":"United States Naval Research Laboratory","ror":"https://ror.org/04d23a975","country_code":"US","type":"facility","lineage":["https://openalex.org/I1288214837","https://openalex.org/I1330347796","https://openalex.org/I175003984","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul Syverson","raw_affiliation_strings":["Naval Research Laboratory, Washington, D.C., DC","Naval Research Laboratory, Washington, D.C., DC#TAB#"],"affiliations":[{"raw_affiliation_string":"Naval Research Laboratory, Washington, D.C., DC","institution_ids":["https://openalex.org/I1288214837"]},{"raw_affiliation_string":"Naval Research Laboratory, Washington, D.C., DC#TAB#","institution_ids":["https://openalex.org/I1288214837"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048667886"],"corresponding_institution_ids":["https://openalex.org/I32971472"],"apc_list":null,"apc_paid":null,"fwci":4.2241,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.93929427,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","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/T10237","display_name":"Cryptography and Data Security","score":0.9926000237464905,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9915000200271606,"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/anonymity","display_name":"Anonymity","score":0.8178312182426453},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7677985429763794},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.7601584196090698},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.6693187952041626},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6651860475540161},{"id":"https://openalex.org/keywords/adversary-model","display_name":"Adversary model","score":0.6571018695831299},{"id":"https://openalex.org/keywords/fraction","display_name":"Fraction (chemistry)","score":0.5972787141799927},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.553879976272583},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.5162039399147034},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.39965808391571045},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.38401687145233154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1744050681591034}],"concepts":[{"id":"https://openalex.org/C178005623","wikidata":"https://www.wikidata.org/wiki/Q308859","display_name":"Anonymity","level":2,"score":0.8178312182426453},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7677985429763794},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.7601584196090698},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.6693187952041626},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6651860475540161},{"id":"https://openalex.org/C7606001","wikidata":"https://www.wikidata.org/wiki/Q4686702","display_name":"Adversary model","level":3,"score":0.6571018695831299},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.5972787141799927},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.553879976272583},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.5162039399147034},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.39965808391571045},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.38401687145233154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1744050681591034},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1314333.1314335","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1314333.1314335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2007 ACM workshop on Privacy in electronic society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1484474218","https://openalex.org/W1484798037","https://openalex.org/W1544406760","https://openalex.org/W1544787586","https://openalex.org/W1571783718","https://openalex.org/W1603966055","https://openalex.org/W1604432502","https://openalex.org/W1606058619","https://openalex.org/W1606570149","https://openalex.org/W1655958391","https://openalex.org/W1777764582","https://openalex.org/W1798924124","https://openalex.org/W1812425403","https://openalex.org/W1866026688","https://openalex.org/W1949722297","https://openalex.org/W1978044849","https://openalex.org/W1978884755","https://openalex.org/W2002080807","https://openalex.org/W2005708967","https://openalex.org/W2041221349","https://openalex.org/W2063547081","https://openalex.org/W2087811006","https://openalex.org/W2103597742","https://openalex.org/W2103647628","https://openalex.org/W2108668142","https://openalex.org/W2112178441","https://openalex.org/W2122281733","https://openalex.org/W2127295197","https://openalex.org/W2138719936","https://openalex.org/W2142229514","https://openalex.org/W2143215034","https://openalex.org/W2152976548","https://openalex.org/W2156410527","https://openalex.org/W2162297215","https://openalex.org/W2163674653","https://openalex.org/W2611515161","https://openalex.org/W2741659057","https://openalex.org/W2914982603","https://openalex.org/W3003159414","https://openalex.org/W3028869756","https://openalex.org/W3166178007","https://openalex.org/W4234290175","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2123681352","https://openalex.org/W1658340114","https://openalex.org/W2999599390","https://openalex.org/W4295124898","https://openalex.org/W2212585693","https://openalex.org/W2918039754","https://openalex.org/W3112099530","https://openalex.org/W2088745056","https://openalex.org/W2343460230","https://openalex.org/W2247984752"],"abstract_inverted_index":{"We":[0],"perform":[1],"a":[2,13,36,44,76,115,133],"probabilistic":[3,69],"analysis":[4,9],"of":[5,16,24,30,38,50,67,118],"onion":[6,25],"routing.":[7],"The":[8],"is":[10,79,91,121],"presented":[11],"in":[12,27,61],"black-box":[14],"model":[15],"anonymous":[17],"communication":[18],"that":[19,34,75,113,131],"abstracts":[20],"the":[21,28,39,57,83,88,98,103,119,124],"essential":[22],"properties":[23],"routing":[26],"presence":[29],"an":[31,111,129],"active":[32],"adversary":[33,58,112,130],"controls":[35,114,132],"portion":[37],"network":[40],"and":[41],"knows":[42],"all":[43],"priori":[45],"distributions":[46],"on":[47],"user":[48,77],"choices":[49],"destination.":[51],"Our":[52],"results":[53],"quantify":[54],"how":[55],"much":[56],"can":[59],"gain":[60],"identifying":[62],"users":[63,85,100],"by":[64],"exploiting":[65],"knowledge":[66],"their":[68],"behavior.":[70],"In":[71],"particular,":[72],"we":[73],"show":[74],"anonymity":[78,109,127],"worst":[80],"either":[81],"when":[82,97],"other":[84,99],"always":[86,101],"choose":[87,102],"destination":[89,104],"u":[90,105],"least":[92],"likely":[93],"to":[94,123],"visit":[95],"or":[96],"chooses.":[106],"This":[107],"worst-case":[108],"with":[110],"fraction":[116,134],"b":[117],"routers":[120],"comparable":[122],"best":[125],"case":[126],"against":[128],"pb.":[135]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}