{"id":"https://openalex.org/W2079549476","doi":"https://doi.org/10.1145/2815675.2815701","title":"Ting","display_name":"Ting","publication_year":2015,"publication_date":"2015-10-27","ids":{"openalex":"https://openalex.org/W2079549476","doi":"https://doi.org/10.1145/2815675.2815701","mag":"2079549476"},"language":"en","primary_location":{"id":"doi:10.1145/2815675.2815701","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2815675.2815701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Internet Measurement Conference","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/A5091001712","display_name":"Frank Cangialosi","orcid":"https://orcid.org/0000-0003-1606-4044"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Frank Cangialosi","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088579822","display_name":"Dave Levin","orcid":"https://orcid.org/0000-0003-4957-5131"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dave Levin","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110270006","display_name":"Neil Spring","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neil Spring","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091001712"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":4.3144,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.94689168,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"289","last_page":"302"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9871000051498413,"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":0.9851999878883362,"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":0.8622978925704956},{"id":"https://openalex.org/keywords/anonymity","display_name":"Anonymity","score":0.8188962340354919},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.7563338279724121},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5708224773406982},{"id":"https://openalex.org/keywords/overlay-network","display_name":"Overlay network","score":0.5319474339485168},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.5041459798812866},{"id":"https://openalex.org/keywords/low-latency","display_name":"Low latency (capital markets)","score":0.4351137578487396},{"id":"https://openalex.org/keywords/overlay","display_name":"Overlay","score":0.41237878799438477},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.41222095489501953},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.16891855001449585},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16863730549812317},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10921308398246765}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8622978925704956},{"id":"https://openalex.org/C178005623","wikidata":"https://www.wikidata.org/wiki/Q308859","display_name":"Anonymity","level":2,"score":0.8188962340354919},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.7563338279724121},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5708224773406982},{"id":"https://openalex.org/C169851745","wikidata":"https://www.wikidata.org/wiki/Q1331985","display_name":"Overlay network","level":3,"score":0.5319474339485168},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5041459798812866},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.4351137578487396},{"id":"https://openalex.org/C136085584","wikidata":"https://www.wikidata.org/wiki/Q910289","display_name":"Overlay","level":2,"score":0.41237878799438477},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.41222095489501953},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.16891855001449585},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16863730549812317},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10921308398246765},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2815675.2815701","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2815675.2815701","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Internet Measurement Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320310598","display_name":"Amazon Web Services","ror":"https://ror.org/04mv4n011"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W38070589","https://openalex.org/W39374552","https://openalex.org/W1595862390","https://openalex.org/W1655958391","https://openalex.org/W1810963314","https://openalex.org/W1888844539","https://openalex.org/W1938118830","https://openalex.org/W1978884755","https://openalex.org/W1996497509","https://openalex.org/W2016478254","https://openalex.org/W2031925412","https://openalex.org/W2036732598","https://openalex.org/W2051836714","https://openalex.org/W2092085685","https://openalex.org/W2101712107","https://openalex.org/W2103647628","https://openalex.org/W2111884550","https://openalex.org/W2118451355","https://openalex.org/W2127295197","https://openalex.org/W2143652461","https://openalex.org/W2144386326","https://openalex.org/W2155444313","https://openalex.org/W2157573989","https://openalex.org/W2164096563","https://openalex.org/W2170063609","https://openalex.org/W2170091400","https://openalex.org/W2170756028","https://openalex.org/W2189469435","https://openalex.org/W2350778671","https://openalex.org/W4241257019","https://openalex.org/W6601608363","https://openalex.org/W6684440980"],"related_works":["https://openalex.org/W2124413800","https://openalex.org/W49883264","https://openalex.org/W205921759","https://openalex.org/W2079845068","https://openalex.org/W3150041462","https://openalex.org/W2097549797","https://openalex.org/W2021240163","https://openalex.org/W1843024274","https://openalex.org/W2079549476","https://openalex.org/W3134582648"],"abstract_inverted_index":{"Tor":[0,17,41,76,101,137,169],"is":[1,116],"a":[2,32,94,104,109],"peer-to-peer":[3],"overlay":[4],"routing":[5],"network":[6,42],"that":[7,114,141,150,155],"achieves":[8],"unlinkable":[9],"communication":[10],"between":[11,37,68,99],"source":[12],"and":[13,22,51,55,75,83,122,139,171],"destination.Unlike":[14],"traditional":[15],"mix-nets,":[16],"seeks":[18],"to":[19,27,81,127,134],"balance":[20],"anonymity":[21,56],"performance,":[23],"particularly":[24],"with":[25,119,176],"respect":[26],"providing":[28],"low-latency":[29],"communication.":[30],"As":[31],"result,":[33],"understanding":[34,50],"the":[35,40,73,135,151],"latencies":[36,67,98],"peers":[38],"in":[39,49,161],"could":[43],"be":[44,159],"an":[45],"extremely":[46],"powerful":[47],"tool":[48],"improving":[52],"Tor's":[53],"performance":[54],"properties.":[57],"Unfortunately,":[58],"there":[59],"are":[60,78,144],"no":[61],"practical":[62],"techniques":[63],"for":[64,96],"inferring":[65],"accurate":[66],"two":[69],"arbitrary":[70,100],"hosts":[71],"on":[72,85],"Internet,":[74],"clients":[77],"not":[79,124],"instrumented":[80],"collect":[82],"report":[84],"these":[86],"measurements.":[87],"In":[88],"this":[89],"paper,":[90],"we":[91,112],"present":[92],"Ting,":[93],"technique":[95],"measuring":[97],"nodes":[102],"from":[103],"single":[105],"vantage":[106],"point.":[107],"Through":[108],"ground-truth":[110],"validation,":[111],"show":[113,140],"Ting":[115,133,156],"accurate,":[117],"even":[118],"few":[120],"samples,":[121],"does":[123],"require":[125],"modifications":[126],"existing":[128],"clients.":[129],"We":[130,148],"also":[131],"apply":[132],"live":[136],"network,":[138],"its":[142],"measurements":[143],"stable":[145],"over":[146],"time.":[147],"demonstrate":[149],"all-pairs":[152],"latency":[153],"datasets":[154],"permits":[157],"can":[158],"applied":[160],"disparate":[162],"ways,":[163],"including":[164],"faster":[165],"methods":[166],"of":[167],"deanonymizing":[168],"circuits":[170,175],"efficiently":[172],"finding":[173],"long":[174],"low":[177],"end-to-end":[178],"latency.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2}],"updated_date":"2026-02-25T23:00:34.991745","created_date":"2016-06-24T00:00:00"}
